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6698d8a0653e4babe21e1e7d | meta-llama/Llama-3.1-8B-Instruct | meta-llama | manual | loading | 2024-09-25T17:00:57.000Z | 2,649 | false | 0e9e39f249a16976918f6564b8830bc894c89659 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", "eos_token": "<|eot_id|>"}} | 3,134,749 | [
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667928d58601cd537f63c846 | google/gemma-2-9b-it | google | manual | warm | 2024-08-27T19:41:49.000Z | 468 | false | 11c9b309abf73637e4b6f9a3fa1e92e615547819 | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 964,871 | [
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] | gemma2 | google/gemma-2-9b | 105 | text-generation | 105 | 25 | 6 | 33 | 69 | 718,125 |
653a4cbd66081db6fc588b21 | HuggingFaceH4/zephyr-7b-beta | HuggingFaceH4 | False | warm | 2024-09-23T13:33:11.000Z | 1,578 | false | 20e1a5880bb00a7571542fe3fe6cb2dcb4816eee | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | 749,121 | [
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] | text-generation | transformers | 2023-10-26T11:25:49.000Z | HuggingFaceH4/zephyr-7b-beta | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 274 | 76 | 120 | 20 | 357,190 |
657607b0a90ae2daaef65917 | mistralai/Mixtral-8x7B-Instruct-v0.1 | mistralai | auto | warm | 2024-08-19T13:18:42.000Z | 4,130 | false | 41bd4c9e7e4fb318ca40e721131d4933966c2cc1 | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | 578,188 | [
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] | mixtral | mistralai/Mixtral-8x7B-v0.1 | 182 | text-generation | 182 | 110 | 48 | 33 | 20 | 413,206 |
664dc170474f2283fa5c8659 | mistralai/Mistral-7B-Instruct-v0.3 | mistralai | auto | warm | 2024-08-21T12:18:25.000Z | 998 | false | e0bc86c23ce5aae1db576c8cca6f06f1f73af2db | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n{%- set user_messages = loop_messages | selectattr(\"role\", \"equalto\", \"user\") | list %}\n\n{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}\n{%- set ns = namespace() %}\n{%- set ns.index = 0 %}\n{%- for message in loop_messages %}\n {%- if not (message.role == \"tool\" or message.role == \"tool_results\" or (message.tool_calls is defined and message.tool_calls is not none)) %}\n {%- if (message[\"role\"] == \"user\") != (ns.index % 2 == 0) %}\n {{- raise_exception(\"After the optional system message, conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif %}\n {%- set ns.index = ns.index + 1 %}\n {%- endif %}\n{%- endfor %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if message[\"role\"] == \"user\" %}\n {%- if tools is not none and (message == user_messages[-1]) %}\n {{- \"[AVAILABLE_TOOLS] [\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- '{\"type\": \"function\", \"function\": {' }}\n {%- for key, val in tool.items() if key != \"return\" %}\n {%- if val is string %}\n {{- '\"' + key + '\": \"' + val + '\"' }}\n {%- else %}\n {{- '\"' + key + '\": ' + val|tojson }}\n {%- endif %}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \"}}\" }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" }}\n {%- endif %}\n {%- endfor %}\n {{- \"[/AVAILABLE_TOOLS]\" }}\n {%- endif %}\n {%- if loop.last and system_message is defined %}\n {{- \"[INST] \" + system_message + \"\\n\\n\" + message[\"content\"] + \"[/INST]\" }}\n {%- else %}\n {{- \"[INST] \" + message[\"content\"] + \"[/INST]\" }}\n {%- endif %}\n {%- elif message.tool_calls is defined and message.tool_calls is not none %}\n {{- \"[TOOL_CALLS] [\" }}\n {%- for tool_call in message.tool_calls %}\n {%- set out = tool_call.function|tojson %}\n {{- out[:-1] }}\n {%- if not tool_call.id is defined or tool_call.id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- ', \"id\": \"' + tool_call.id + '\"}' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- else %}\n {{- \"]\" + eos_token }}\n {%- endif %}\n {%- endfor %}\n {%- elif message[\"role\"] == \"assistant\" %}\n {{- \" \" + message[\"content\"]|trim + eos_token}}\n {%- elif message[\"role\"] == \"tool_results\" or message[\"role\"] == \"tool\" %}\n {%- if message.content is defined and message.content.content is defined %}\n {%- set content = message.content.content %}\n {%- else %}\n {%- set content = message.content %}\n {%- endif %}\n {{- '[TOOL_RESULTS] {\"content\": ' + content|string + \", \" }}\n {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}\n {{- raise_exception(\"Tool call IDs should be alphanumeric strings with length 9!\") }}\n {%- endif %}\n {{- '\"call_id\": \"' + message.tool_call_id + '\"}[/TOOL_RESULTS]' }}\n {%- else %}\n {{- raise_exception(\"Only user and assistant roles are supported, with the exception of an initial optional system message!\") }}\n {%- endif %}\n{%- endfor %}\n", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | 564,853 | [
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] | mistral | mistralai/Mistral-7B-v0.3 | 338 | text-generation | 338 | 181 | 10 | 51 | 87 | 652,648 |
65143cd8e31c0e2e3df713e5 | mistralai/Mistral-7B-Instruct-v0.1 | mistralai | auto | warm | 2024-08-22T11:33:25.000Z | 1,506 | false | 2dcff66eac0c01dc50e4c41eea959968232187fe | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | 562,402 | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 340 | 41 | 139 | 14 | 326,808 |
665ee74789b4fd787a568664 | Qwen/Qwen2-7B-Instruct | Qwen | False | cold | 2024-08-21T10:29:04.000Z | 573 | false | f2826a00ceef68f0f2b946d945ecc0477ce4450c | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}} | 410,195 | [
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] | qwen2 | Qwen/Qwen2-7B | 266 | text-generation | 266 | 49 | 3 | 42 | 69 | 680,671 |
669650bb11dbbf600cf4dcf0 | google/gemma-2-2b-it | google | manual | warm | 2024-08-27T19:41:44.000Z | 570 | false | 299a8560bedf22ed1c72a8a11e7dce4a7f9f51f8 | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 358,990 | [
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664e5306762e0826aea132d0 | thesven/Mistral-7B-Instruct-v0.3-GPTQ | thesven | False | cold | 2024-09-11T17:17:42.000Z | 0 | false | 2d24a7f41b3d93fba3aef0cde15a77f09e99437c | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | 345,189 | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.3 | 320 | text-generation | 320 | 0 | 0 | 0 | 0 | 653,744 |
6515ff5b7f18cec973af0828 | TheBloke/Mistral-7B-Instruct-v0.1-GPTQ | TheBloke | False | explicit-opt-out | 2023-09-29T20:48:48.000Z | 75 | false | 6ae1e4ae2cfbaf107c705ed722ec243b4f88014d | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 296,813 | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.1 | 500 | text-generation | 500 | 191 | 0 | 92 | 0 | 328,345 |
65cac0d27faf059c56a5821f | google/gemma-7b-it | google | manual | cold | 2024-08-14T08:36:20.000Z | 1,128 | false | 9c5798d27f588501ce1e108079d2a19e4c3a2353 | {"architectures": ["GemmaForCausalLM"], "model_type": "gemma", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 273,413 | [
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] | gemma | google/gemma-7b | 9,278 | text-generation | 9,278 | 74 | 0 | 16 | 10 | 490,051 |
665d877e957df09a0751515e | Qwen/Qwen2-0.5B-Instruct | Qwen | False | cold | 2024-08-21T10:23:36.000Z | 155 | false | c540970f9e29518b1d8f06ab8b24cba66ad77b6d | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}} | 270,072 | [
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] | qwen2 | Qwen/Qwen2-0.5B | 120 | text-generation | 120 | 162 | 4 | 35 | 47 | 678,240 |
669fe28bb3b73c95ecd1b6cd | SanctumAI/Meta-Llama-3.1-8B-Instruct-GGUF | SanctumAI | False | cold | 2024-09-11T17:15:23.000Z | 10 | false | 1cbd69377fb06c0a4719187fc31fdc7d4020ec3a | {"model_type": "llama"} | 269,192 | [
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] | llama | meta-llama/Llama-3.1-8B-Instruct | 695 | text-generation | 695 | 0 | 0 | 0 | 0 | 772,940 |
65778ac662d3ac1817cc9201 | TheBloke/Mistral-7B-Instruct-v0.2-GGUF | TheBloke | False | explicit-opt-out | 2023-12-11T22:23:10.000Z | 383 | false | 3a6fbf4a41a1d52e415a4958cde6856d34b2db93 | {"model_type": "mistral"} | 212,551 | [
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] | text-generation | transformers | 2023-12-11T22:18:46.000Z | TheBloke/Mistral-7B-Instruct-v0.2-GGUF | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.2 | 1,321 | text-generation | 1,321 | 0 | 0 | 0 | 0 | 414,766 |
664e8ee4437ce2c3146cb273 | neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit | neuralmagic | False | cold | 2024-06-10T20:59:32.000Z | 11 | false | ed07c8f1d2c87648508d9e153199d9b761cad5a8 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | 186,770 | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.3 | 320 | text-generation | 320 | 0 | 0 | 0 | 0 | 653,995 |
666154bbf57dbfbdc3696bd2 | Qwen/Qwen2-7B-Instruct-AWQ | Qwen | False | cold | 2024-08-21T10:30:36.000Z | 19 | false | f7621c98023fa293e743c692981a3c8f5b564b86 | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}} | 184,675 | [
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65148287463c4fd767f76cb6 | TheBloke/Mistral-7B-Instruct-v0.1-AWQ | TheBloke | False | explicit-opt-out | 2023-11-09T18:17:58.000Z | 35 | false | b2f7c152209c12057c3a0d77b2c01a1def7d594f | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"quant_method": "awq", "bits": 4}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 178,358 | [
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] | text-generation | transformers | 2023-09-27T19:29:11.000Z | TheBloke/Mistral-7B-Instruct-v0.1-AWQ | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.1 | 500 | text-generation | 500 | 0 | 0 | 0 | 0 | 327,065 |
669fbfba1631541594c89063 | casperhansen/mistral-nemo-instruct-2407-awq | casperhansen | False | cold | 2024-09-27T07:14:03.000Z | 5 | false | c83b6438e13051ad1c0f5683635705ee83bb8772 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.last and system_message is defined %}\n {{- '[INST] ' + system_message + '\\n\\n' + message['content'] + '[/INST]' }}\n {%- else %}\n {{- '[INST] ' + message['content'] + '[/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n", "eos_token": "</s>", "unk_token": "<unk>"}} | 165,811 | [
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] | text-generation | transformers | 2024-07-23T14:35:38.000Z | casperhansen/mistral-nemo-instruct-2407-awq | [
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] | mistral | mistralai/Mistral-Nemo-Instruct-2407 | 101 | text-generation | 101 | 0 | 0 | 0 | 0 | 772,614 |
66231225c8920ec35160357e | aaditya/Llama3-OpenBioLLM-8B | aaditya | False | cold | 2024-04-28T02:36:57.000Z | 146 | false | 000c725dc3a680e35260b2c213163387581c974f | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>"}} | 162,094 | [
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] | llama | meta-llama/Meta-Llama-3-8B | 976 | text-generation | 976 | 0 | 30 | 8 | 4 | 594,742 |
6515ffbc3e5a12e0ceaefd75 | TheBloke/Mistral-7B-v0.1-GPTQ | TheBloke | False | explicit-opt-out | 2023-09-29T20:49:41.000Z | 35 | false | 81de15eeac5938bc3b4065dfddf798fe5d215881 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 149,047 | [
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] | text-generation | transformers | 2023-09-28T22:35:40.000Z | TheBloke/Mistral-7B-v0.1-GPTQ | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 25 | 0 | 5 | 1 | 328,348 |
66968801480e8b04bb69248c | SanctumAI/gemma-2-9b-it-GGUF | SanctumAI | False | cold | 2024-09-11T17:17:18.000Z | 2 | false | 5e3f967050720200fe63b2f8a62e3f6ac5c096ea | {"model_type": "gemma2"} | 130,857 | [
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] | text-generation | transformers | 2024-07-16T14:47:29.000Z | SanctumAI/gemma-2-9b-it-GGUF | [
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] | gemma2 | google/gemma-2-9b-it | 131 | text-generation | 131 | 0 | 0 | 0 | 0 | 756,278 |
64b6ce072edcb4a1aa820cbe | TheBloke/Llama-2-7B-Chat-GPTQ | TheBloke | False | explicit-opt-out | 2023-09-27T12:44:48.000Z | 258 | false | d5ad9310836dd91b6ac6133e2e47f47394386cea | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": null, "unk_token": {"__type": "AddedToken", "content": "<unk>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}}} | 110,199 | [
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] | llama | meta-llama/Llama-2-7b-chat-hf | 1,328 | text-generation | 1,328 | 13 | 0 | 3 | 0 | 247,838 |
66303852b8d7220d89548ffc | NousResearch/Hermes-2-Pro-Llama-3-8B | NousResearch | False | cold | 2024-09-14T16:29:41.000Z | 400 | false | f798274b30e7d2d4797c369edcc0cc7473b6e6f2 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"}, {"name": "tool_use", "template": "{%- macro json_to_python_type(json_spec) %}\n{%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n{%- if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type] }}\n{%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items) + \"]\"}}\n{%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties) + ']'}}\n {%- else %}\n {{- \"dict\" }}\n {%- endif %}\n{%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n {%- for t in json_spec.type %}\n {{- json_to_python_type({\"type\": t}) }}\n {%- if not loop.last %}\n {{- \",\" }} \n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n{%- else %}\n {{- \"Any\" }}\n{%- endif %}\n{%- endmacro %}\n\n\n{{- bos_token }}\n{{- '<|im_start|>system\n' }}\n{{- \"You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> \" }}\n{%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\", \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- param_name + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n {{- \" - \" + tool.description + \"\n\n\" }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {%- if loop.first %}\n {{- \" Args:\n\" }}\n {%- endif %}\n {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields) + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n {%- if tool.return is defined and tool.return.description is defined %}\n {{- \"\n Returns:\n \" + tool.return.description }}\n {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n {%- if tool.parameters.properties | length == 0 %}\n {{- \"{}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \"\n\" }}\n {%- endif %}\n{%- endfor %}\n{{- \" </tools>\" }}\n{{- 'Use the following pydantic model json schema for each tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"}}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\": \"object\"}}\n' }}\n{{- \"For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n\" }}\n{{- \"<tool_call>\n\" }}\n{{- '{\"name\": <function-name>, \"arguments\": <args-dict>}\n' }}\n{{- '</tool_call><|im_end|>\n' }}\n{%- for message in messages %}\n {%- if message.role == \"user\" or message.role == \"system\" or (message.role == \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls %}\n {{- '\n<tool_call>\n' }} {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\"' }}\n {{- ', '}}\n {%- if tool_call.arguments is defined %}\n {{- '\"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments|tojson }}\n {%- endif %}\n {%- endif %}\n {{- '}' }}\n {{- '\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>tool\n' }}\n {%- endif %}\n {{- '<tool_response>\n' }}\n {{- message.content }}\n {%- if not loop.last %}\n {{- '\n</tool_response>\n' }}\n {%- else %}\n {{- '\n</tool_response>' }}\n {%- endif %}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n{%- endif %}\n"}], "eos_token": "<|im_end|>", "pad_token": "<|end_of_text|>"}} | 97,818 | [
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662a2d8b084d6b7ab42d8a15 | MLP-KTLim/llama-3-Korean-Bllossom-8B | MLP-KTLim | False | cold | 2024-08-12T04:01:02.000Z | 258 | false | 10acb1aa4f341f2d3c899d78c520b0822a909b95 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|eot_id|>", "pad_token": "<|end_of_text|>"}} | 85,510 | [
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] | llama | meta-llama/Meta-Llama-3-8B | 976 | text-generation | 976 | 13 | 13 | 22 | 28 | 604,596 |
64f60811b8cc49b414fe5cdf | TheBloke/Llama-2-7B-Chat-GGUF | TheBloke | False | explicit-opt-out | 2023-10-14T21:36:33.000Z | 426 | false | 191239b3e26b2882fb562ffccdd1cf0f65402adb | {"model_type": "llama"} | 79,952 | [
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657759d1da3f14fa5ddeba81 | TheBloke/Mixtral-8x7B-Instruct-v0.1-GPTQ | TheBloke | False | explicit-opt-out | 2023-12-14T14:30:44.000Z | 130 | false | 0f81ba4680ccd2bce163334b93305d40b9e27b09 | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}"}} | 70,053 | [
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664f44644f17b67fdf917d9d | SanctumAI/Mistral-7B-Instruct-v0.3-GGUF | SanctumAI | False | cold | 2024-09-15T11:33:21.000Z | 3 | false | ab77e5f8958a1e3b612b805f89f4695e8451950a | {"model_type": "mistral"} | 67,526 | [
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] | mistral | mistralai/Mistral-7B-Instruct-v0.3 | 320 | text-generation | 320 | 0 | 0 | 0 | 0 | 654,981 |
6591dd37a02954c9825f00f1 | TheBloke/TinyLlama-1.1B-Chat-v1.0-GPTQ | TheBloke | False | explicit-opt-out | 2023-12-31T21:33:52.000Z | 12 | false | 9d4580af0f21bccafd762dcc50d0c7bac6273584 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 67,033 | [
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] | llama | TinyLlama/TinyLlama-1.1B-Chat-v1.0 | 687 | text-generation | 687 | 0 | 0 | 1 | 0 | 436,937 |
66cbcec8e0cdc14fc0b45840 | smeby/Qwen-Qwen1.5-7B-1724632776 | smeby | False | pipeline-not-detected | 2024-08-26T00:39:52.000Z | 0 | false | 45923cca577d6ac53d6b9c212c8c6e07ebd65d97 | {"tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": null}, "peft": {"base_model_name_or_path": "Qwen/Qwen1.5-7B", "task_type": "CAUSAL_LM"}} | 49,744 | [
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65778ac63ceeb2f078e6c864 | TheBloke/Mistral-7B-Instruct-v0.2-GPTQ | TheBloke | False | explicit-opt-out | 2023-12-11T22:46:53.000Z | 48 | false | 7532d6bc89ef9300fb39d2d94ed4414ec534b72a | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}"}} | 47,926 | [
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65778ac658d7a2cc892266d6 | TheBloke/Mistral-7B-Instruct-v0.2-AWQ | TheBloke | False | explicit-opt-out | 2023-12-11T22:36:20.000Z | 41 | false | f970a2bb89d5c2f9d217dc337f39e24625d6462a | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}"}} | 46,303 | [
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659a5e051b4a26041af869ac | openchat/openchat-3.5-0106 | openchat | False | not-popular-enough | 2024-05-18T18:14:51.000Z | 342 | false | ff058fda49726ecf4ea53dc1635f917cdb8ba36b | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}", "eos_token": "<|end_of_turn|>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 45,756 | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 16 | 28 | 30 | 22 | 443,802 |
66616ddf3fdeeb338135dbef | Qwen/Qwen2-0.5B-Instruct-GGUF | Qwen | False | library-not-detected | 2024-08-21T10:29:53.000Z | 54 | false | 198f08841147e5196a6a69bd0053690fb1fd3857 | null | 45,743 | [
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] | null | Qwen/Qwen2-0.5B-Instruct | 178 | text-generation | 178 | 0 | 0 | 0 | 0 | 685,351 |
653ec25781277ed9683d246f | teknium/OpenHermes-2.5-Mistral-7B | teknium | False | not-popular-enough | 2024-02-19T17:53:06.000Z | 803 | false | 24c0bea14d53e6f67f1fbe2eca5bfe7cae389b33 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|im_end|>", "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 45,623 | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 96 | 37 | 71 | 30 | 360,799 |
65775021c991ca09567c1237 | TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF | TheBloke | False | explicit-opt-out | 2023-12-14T14:30:43.000Z | 596 | false | fa1d3835c5d45a3a74c0b68805fcdc133dba2b6a | {"model_type": "mixtral"} | 45,482 | [
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] | mixtral | mistralai/Mixtral-8x7B-Instruct-v0.1 | 166 | text-generation | 166 | 0 | 0 | 0 | 0 | 414,555 |
66a5de99a28bc058db44d78f | NousResearch/Hermes-3-Llama-3.1-8B | NousResearch | False | warm | 2024-09-08T07:39:55.000Z | 195 | false | 896ea440e5a9e6070e3d8a2774daf2b481ab425b | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"}, {"name": "tool_use", "template": "{%- macro json_to_python_type(json_spec) %}\n{%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n{%- if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type] }}\n{%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items) + \"]\"}}\n{%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties) + ']'}}\n {%- else %}\n {{- \"dict\" }}\n {%- endif %}\n{%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n {%- for t in json_spec.type %}\n {{- json_to_python_type({\"type\": t}) }}\n {%- if not loop.last %}\n {{- \",\" }} \n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n{%- else %}\n {{- \"Any\" }}\n{%- endif %}\n{%- endmacro %}\n\n\n{{- bos_token }}\n{{- '<|im_start|>system\n' }}\n{{- \"You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> \" }}\n{%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\", \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- param_name + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n {{- \" - \" + tool.description + \"\n\n\" }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {%- if loop.first %}\n {{- \" Args:\n\" }}\n {%- endif %}\n {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields) + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n {%- if tool.return is defined and tool.return.description is defined %}\n {{- \"\n Returns:\n \" + tool.return.description }}\n {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n {%- if tool.parameters.properties | length == 0 %}\n {{- \"{}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \"\n\" }}\n {%- endif %}\n{%- endfor %}\n{{- \" </tools>\" }}\n{{- 'Use the following pydantic model json schema for each tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"}}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\": \"object\"}}\n' }}\n{{- \"For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n\" }}\n{{- \"<tool_call>\n\" }}\n{{- '{\"name\": <function-name>, \"arguments\": <args-dict>}\n' }}\n{{- '</tool_call><|im_end|>\n' }}\n{%- for message in messages %}\n {%- if message.role == \"user\" or message.role == \"system\" or (message.role == \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls %}\n {{- '\n<tool_call>\n' }} {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\"' }}\n {{- ', '}}\n {%- if tool_call.arguments is defined %}\n {{- '\"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments|tojson }}\n {%- endif %}\n {%- endif %}\n {{- '}' }}\n {{- '\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>tool\n' }}\n {%- endif %}\n {{- '<tool_response>\n' }}\n {{- message.content }}\n {%- if not loop.last %}\n {{- '\n</tool_response>\n' }}\n {%- else %}\n {{- '\n</tool_response>' }}\n {%- endif %}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n{%- endif %}\n"}], "eos_token": "<|im_end|>", "pad_token": "<|im_end|>"}} | 42,774 | [
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] | llama | meta-llama/Llama-3.1-8B | 254 | text-generation | 254 | 1 | 16 | 10 | 33 | 782,842 |
663238fcd5677e328794061c | DeepMount00/Llama-3-8b-Ita | DeepMount00 | False | not-popular-enough | 2024-08-13T11:16:20.000Z | 23 | false | 9e5753beda3704492ae340e0321ad516a58b9ffd | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|eot_id|>"}} | 40,242 | [
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] | llama | meta-llama/Meta-Llama-3-8B | 976 | text-generation | 976 | 0 | 43 | 0 | 2 | 614,878 |
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6591d4d754f88261730df832 | TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF | TheBloke | False | explicit-opt-out | 2023-12-31T21:29:33.000Z | 110 | false | 52e7645ba7c309695bec7ac98f4f005b139cf465 | {"model_type": "tinyllama"} | 28,570 | [
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] | null | meta-llama/Llama-2-7b-chat-hf | 1,328 | text-generation | 1,328 | 0 | 0 | 0 | 0 | 422,014 |
66a2ab4c3c7f0decff7157d6 | lmstudio-community/Phi-3.1-mini-128k-instruct-GGUF | lmstudio-community | False | library-not-detected | 2024-07-25T19:49:22.000Z | 2 | false | 6fb38f94bbd8e88338e0b965d056e0d780b5f8b7 | null | 25,199 | [
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664e2b118e43ee411f6ca3c4 | MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF | MaziyarPanahi | False | explicit-opt-out | 2024-05-22T20:26:06.000Z | 58 | false | ce89f595755a4bf2e2e05d155cc43cb847c78978 | {"model_type": "mistral"} | 22,372 | [
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66aa6a19a9ec1810a37eb785 | bartowski/gemma-2-2b-it-GGUF | bartowski | False | not-popular-enough | 2024-08-05T19:14:36.000Z | 26 | false | 855f67caed130e1befc571b52bd181be2e858883 | null | 22,089 | [
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6523bd962d3ba46ccd378b5a | HuggingFaceH4/zephyr-7b-alpha | HuggingFaceH4 | False | loading | 2023-11-21T17:28:11.000Z | 1,094 | false | 2ce2d025864af849b3e5029e2ec9d568eeda892d | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | 22,023 | [
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66c4f4e7f77e8e56f3806368 | bartowski/Phi-3.5-mini-instruct-GGUF | bartowski | False | not-popular-enough | 2024-09-15T07:35:15.000Z | 36 | false | 6d70da17e749a471ccb62ade694486011a75cda3 | null | 19,761 | [
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] | null | microsoft/Phi-3.5-mini-instruct | 147 | text-generation | 147 | 0 | 0 | 0 | 0 | 842,257 |
6696a3096fa71ac401b70de0 | princeton-nlp/gemma-2-9b-it-SimPO | princeton-nlp | False | not-popular-enough | 2024-08-02T22:04:11.000Z | 80 | false | 8c87091f412e3aa6f74f66bd86c57fb81cbc3fde | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] | trim + '\n\n' %}{% set messages = messages[1:] %}{% else %}{% set system_message = '' %}{% endif %}{% for message in messages %}{% if loop.index0 == 0 %}{% set content = system_message + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + content | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 19,520 | [
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6661b70d346ffbe5a3d44175 | Qwen/Qwen2-7B-Instruct-GGUF | Qwen | False | library-not-detected | 2024-08-21T10:28:11.000Z | 163 | false | c3024c6fff0a02d52119ecee024bbb93d4b4b8e4 | null | 19,088 | [
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] | text-generation | null | 2024-06-06T13:18:05.000Z | Qwen/Qwen2-7B-Instruct-GGUF | [
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] | null | Qwen/Qwen2-7B-Instruct | 161 | text-generation | 161 | 0 | 0 | 0 | 0 | 685,781 |
64f5fd954d3b1dd311d30e28 | TheBloke/Llama-2-7B-GGUF | TheBloke | False | explicit-opt-out | 2023-10-24T07:32:45.000Z | 173 | false | b4e04e128f421c93a5f1e34ac4d7ca9b0af47b80 | {"model_type": "llama"} | 18,814 | [
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] | llama | meta-llama/Llama-2-7b-hf | 1,595 | text-generation | 1,595 | 0 | 0 | 0 | 0 | 303,156 |
64b6c679d16e945399007406 | TheBloke/Llama-2-7B-GPTQ | TheBloke | False | explicit-opt-out | 2023-09-27T12:44:46.000Z | 80 | false | 60b5c75d47a7d925782e74d16b6686cf0abbd052 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": null, "unk_token": {"__type": "AddedToken", "content": "<unk>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}}} | 18,449 | [
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] | text-generation | transformers | 2023-07-18T17:06:01.000Z | TheBloke/Llama-2-7B-GPTQ | [
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] | llama | meta-llama/Llama-2-7b-hf | 1,595 | text-generation | 1,595 | 5 | 0 | 1 | 1 | 247,793 |
6631ab448d7c840b14eb5840 | NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF | NousResearch | False | library-not-detected | 2024-05-03T14:21:35.000Z | 154 | false | fc0d3245797976d0effe82a4f6803a5814e6a4fe | null | 18,414 | [
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] | null | null | 2024-05-01T02:39:00.000Z | NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF | [
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] | null | NousResearch/Meta-Llama-3-8B | 101 | text-generation | 101 | 0 | 0 | 0 | 0 | 614,232 |
65780e5e353869cd6ef1d1ca | openchat/openchat-3.5-1210 | openchat | False | not-popular-enough | 2024-05-18T18:10:44.000Z | 276 | false | 801f5459b7577241500785f11c2b026912badd6e | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{{ 'GPT4 Correct ' + message['role'].title() + ': ' + message['content'] + '<|end_of_turn|>'}}{% endfor %}{% if add_generation_prompt %}{{ 'GPT4 Correct Assistant:' }}{% endif %}", "eos_token": "<|end_of_turn|>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 18,317 | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 8 | 14 | 11 | 5 | 415,184 |
66286775d59deb30bb03684f | maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 | maum-ai | False | not-popular-enough | 2024-04-30T12:25:15.000Z | 31 | false | f6e6495a184ac245c8e3c953ce6acb8f732c52dd | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|end_of_text|>", "pad_token": "<<|PAD|>>"}} | 18,172 | [
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] | llama | meta-llama/Meta-Llama-3-8B-Instruct | 1,076 | text-generation | 1,076 | 0 | 12 | 0 | 0 | 601,965 |
66aa7b285bb7aca6cc409418 | lmstudio-community/gemma-2-2b-it-GGUF | lmstudio-community | False | not-popular-enough | 2024-07-31T18:58:29.000Z | 16 | false | 6aa72da804ad76c5dc862867bfba6256de9172c7 | null | 16,615 | [
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] | text-generation | transformers | 2024-07-31T17:58:00.000Z | lmstudio-community/gemma-2-2b-it-GGUF | [
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] | null | google/gemma-2-2b-it | 265 | text-generation | 265 | 0 | 0 | 0 | 0 | 791,420 |
65eeff3ffc59f6e77eafb754 | NousResearch/Hermes-2-Pro-Mistral-7B | NousResearch | False | not-popular-enough | 2024-09-08T08:08:34.000Z | 480 | false | 24dbda51d986efa05201eec7a093ac91fc5519cf | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"}, {"name": "tool_use", "template": "{%- macro json_to_python_type(json_spec) %}\n{%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n{%- if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type] }}\n{%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items) + \"]\"}}\n{%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties) + ']'}}\n {%- else %}\n {{- \"dict\" }}\n {%- endif %}\n{%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n {%- for t in json_spec.type %}\n {{- json_to_python_type({\"type\": t}) }}\n {%- if not loop.last %}\n {{- \",\" }} \n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n{%- else %}\n {{- \"Any\" }}\n{%- endif %}\n{%- endmacro %}\n\n\n{{- bos_token }}\n{{- '<|im_start|>system\n' }}\n{{- \"You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> \" }}\n{%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\", \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- param_name + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n {{- \" - \" + tool.description + \"\n\n\" }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {%- if loop.first %}\n {{- \" Args:\n\" }}\n {%- endif %}\n {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields) + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n {%- if tool.return is defined and tool.return.description is defined %}\n {{- \"\n Returns:\n \" + tool.return.description }}\n {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n {%- if tool.parameters.properties | length == 0 %}\n {{- \"{}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \"\n\" }}\n {%- endif %}\n{%- endfor %}\n{{- \" </tools>\" }}\n{{- 'Use the following pydantic model json schema for each tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"}}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\": \"object\"}}\n' }}\n{{- \"For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n\" }}\n{{- \"<tool_call>\n\" }}\n{{- '{\"name\": <function-name>, \"arguments\": <args-dict>}\n' }}\n{{- '</tool_call><|im_end|>\n' }}\n{%- for message in messages %}\n {%- if message.role == \"user\" or message.role == \"system\" or (message.role == \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls %}\n {{- '\n<tool_call>\n' }} {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\"' }}\n {{- ', '}}\n {%- if tool_call.arguments is defined %}\n {{- '\"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments|tojson }}\n {%- endif %}\n {%- endif %}\n {{- '}' }}\n {{- '\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>tool\n' }}\n {%- endif %}\n {{- '<tool_response>\n' }}\n {{- message.content }}\n {%- if not loop.last %}\n {{- '\n</tool_response>\n' }}\n {%- else %}\n {{- '\n</tool_response>' }}\n {%- endif %}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n{%- endif %}\n"}], "eos_token": "<|im_end|>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 16,543 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Mistral",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"conversational",
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"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | transformers | 2024-03-11T12:55:27.000Z | NousResearch/Hermes-2-Pro-Mistral-7B | [
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] | mistral | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 2 | 94 | 14 | 15 | 530,374 |
66dd9c3efd9b7f48c89ca228 | amiguel/classItem-FT-llama-3-1-8b-instruct | amiguel | False | not-popular-enough | 2024-09-08T12:47:25.000Z | 0 | false | 82d8630451db886a42309d2088f6c5b1d9d3a3e3 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", "eos_token": "<|eot_id|>", "pad_token": "<|finetune_right_pad_id|>"}} | 16,524 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"conversational",
"en",
"base_model:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit",
"base_model:quantized:unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | text-generation | transformers | 2024-09-08T12:44:46.000Z | amiguel/classItem-FT-llama-3-1-8b-instruct | [
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] | llama | unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | 661 | text-generation | 661 | 0 | 0 | 0 | 0 | 914,454 |
64b6d9d4bb1d8f2832c8be93 | TheBloke/Llama-2-13B-chat-GPTQ | TheBloke | False | explicit-opt-out | 2023-09-27T12:44:48.000Z | 358 | false | ea078917a7e91c896787c73dba935f032ae658e9 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": null, "unk_token": {"__type": "AddedToken", "content": "<unk>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}}} | 16,056 | [
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] | text-generation | transformers | 2023-07-18T18:28:36.000Z | TheBloke/Llama-2-13B-chat-GPTQ | [
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}
] | llama | meta-llama/Llama-2-13b-chat-hf | 318 | text-generation | 318 | 5 | 0 | 0 | 0 | 247,882 |
66693891e06cc524750de8f7 | QuantFactory/Qwen2-0.5B-GGUF | QuantFactory | False | library-not-detected | 2024-06-18T06:31:15.000Z | 2 | false | 2a3c6a4d2fa2077c6a3045867ac18b1933fef5be | null | 15,865 | [
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"base_model:Qwen/Qwen2-0.5B",
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] | text-generation | null | 2024-06-12T05:56:33.000Z | QuantFactory/Qwen2-0.5B-GGUF | [
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] | null | Qwen/Qwen2-0.5B | 120 | text-generation | 120 | 0 | 0 | 0 | 0 | 695,554 |
66a4fbbe07dd6d0ab4a07650 | GPT4All-Community/Meta-Llama-3.1-8B-Instruct-128k-GGUF | GPT4All-Community | False | library-not-detected | 2024-08-12T23:51:19.000Z | 8 | false | 350b6d7f3a2224c98b6dc8ebdce0e290b71cae22 | null | 15,300 | [
"gguf",
"text-generation-inference",
"text-generation",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"region:us"
] | text-generation | null | 2024-07-27T13:53:02.000Z | GPT4All-Community/Meta-Llama-3.1-8B-Instruct-128k-GGUF | [
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] | null | meta-llama/Llama-3.1-8B-Instruct | 695 | text-generation | 695 | 0 | 0 | 0 | 0 | 781,715 |
6508c16eabdde5290e606c80 | TheBloke/Llama-2-7B-Chat-AWQ | TheBloke | False | explicit-opt-out | 2023-11-09T18:21:14.000Z | 21 | false | ee91097dc818c742d9b648147891dfadd9638ace | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "awq", "bits": 4}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "pad_token": null, "unk_token": {"__type": "AddedToken", "content": "<unk>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}}} | 14,453 | [
"transformers",
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"autotrain_compatible",
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] | text-generation | transformers | 2023-09-18T21:30:22.000Z | TheBloke/Llama-2-7B-Chat-AWQ | [
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] | llama | meta-llama/Llama-2-7b-chat-hf | 1,328 | text-generation | 1,328 | 0 | 0 | 0 | 0 | 317,895 |
65d445c10e77d4f229c98fdc | NousResearch/Nous-Hermes-2-Mistral-7B-DPO-GGUF | NousResearch | False | library-not-detected | 2024-02-21T01:35:04.000Z | 59 | false | eb85cf06e8663157611e8ee472e61b43f50ee49f | null | 14,221 | [
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"synthetic data",
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"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:quantized:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | null | 2024-02-20T06:25:05.000Z | NousResearch/Nous-Hermes-2-Mistral-7B-DPO-GGUF | [
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},
{
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}
] | null | mistralai/Mistral-7B-v0.1 | 2,038 | text-generation | 2,038 | 0 | 0 | 0 | 0 | 500,060 |
6627253888596f571aedfb4a | lightblue/suzume-llama-3-8B-multilingual | lightblue | False | not-popular-enough | 2024-06-02T02:14:24.000Z | 103 | false | 0cb15aa9ec685eef494f9a15f65aefcfe3c04c66 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>"}} | 13,616 | [
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] | text-generation | transformers | 2024-04-23T03:04:24.000Z | lightblue/suzume-llama-3-8B-multilingual | [
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] | llama | meta-llama/Meta-Llama-3-8B-Instruct | 1,076 | text-generation | 1,076 | 0 | 3 | 7 | 10 | 600,092 |
666283eda5e2fb9d6b7336c5 | gaianet/Qwen2-0.5B-Instruct-GGUF | gaianet | False | not-popular-enough | 2024-06-07T04:09:30.000Z | 1 | false | bf2944f900c00233d7d1251f4584616cbb06883e | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2"} | 13,032 | [
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] | text-generation | transformers | 2024-06-07T03:52:13.000Z | gaianet/Qwen2-0.5B-Instruct-GGUF | [
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] | qwen2 | Qwen/Qwen2-0.5B-Instruct | 178 | text-generation | 178 | 0 | 0 | 0 | 0 | 686,950 |
66374df5650f76807b257b98 | NousResearch/Hermes-2-Theta-Llama-3-8B | NousResearch | False | not-popular-enough | 2024-09-08T08:11:20.000Z | 192 | false | 57a73110702e7b05ba3f39fef36297454c680725 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"}, {"name": "tool_use", "template": "{%- macro json_to_python_type(json_spec) %}\n{%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n{%- if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type] }}\n{%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items) + \"]\"}}\n{%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties) + ']'}}\n {%- else %}\n {{- \"dict\" }}\n {%- endif %}\n{%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n {%- for t in json_spec.type %}\n {{- json_to_python_type({\"type\": t}) }}\n {%- if not loop.last %}\n {{- \",\" }} \n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n{%- else %}\n {{- \"Any\" }}\n{%- endif %}\n{%- endmacro %}\n\n\n{{- bos_token }}\n{{- '<|im_start|>system\n' }}\n{{- \"You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> \" }}\n{%- for tool in tools %}\n {%- if tool.function is defined %}\n {%- set tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\", \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {{- param_name + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n {{- \" - \" + tool.description + \"\n\n\" }}\n {%- for param_name, param_fields in tool.parameters.properties|items %}\n {%- if loop.first %}\n {{- \" Args:\n\" }}\n {%- endif %}\n {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields) + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n {%- if tool.return is defined and tool.return.description is defined %}\n {{- \"\n Returns:\n \" + tool.return.description }}\n {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n {%- if tool.parameters.properties | length == 0 %}\n {{- \"{}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n {{- \"\n\" }}\n {%- endif %}\n{%- endfor %}\n{{- \" </tools>\" }}\n{{- 'Use the following pydantic model json schema for each tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"}}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\": \"object\"}}\n' }}\n{{- \"For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:\n\" }}\n{{- \"<tool_call>\n\" }}\n{{- '{\"name\": <function-name>, \"arguments\": <args-dict>}\n' }}\n{{- '</tool_call><|im_end|>\n' }}\n{%- for message in messages %}\n {%- if message.role == \"user\" or message.role == \"system\" or (message.role == \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls %}\n {{- '\n<tool_call>\n' }} {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\"' }}\n {{- ', '}}\n {%- if tool_call.arguments is defined %}\n {{- '\"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments|tojson }}\n {%- endif %}\n {%- endif %}\n {{- '}' }}\n {{- '\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>tool\n' }}\n {%- endif %}\n {{- '<tool_response>\n' }}\n {{- message.content }}\n {%- if not loop.last %}\n {{- '\n</tool_response>\n' }}\n {%- else %}\n {{- '\n</tool_response>' }}\n {%- endif %}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\n' }}\n{%- endif %}\n"}], "eos_token": "<|im_end|>", "pad_token": "<|end_of_text|>"}} | 13,026 | [
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"autotrain_compatible",
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"region:us"
] | text-generation | transformers | 2024-05-05T09:14:29.000Z | NousResearch/Hermes-2-Theta-Llama-3-8B | [
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] | llama | NousResearch/Hermes-2-Pro-Llama-3-8B | 131 | text-generation | 131 | 0 | 23 | 1 | 9 | 621,829 |
66615487a4c55c16aceb4423 | Qwen/Qwen2-1.5B-Instruct-AWQ | Qwen | False | not-popular-enough | 2024-08-21T10:35:28.000Z | 7 | false | 688a0bab90cef22c0a5fad44dbda2b65a8859147 | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}} | 12,374 | [
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"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
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] | text-generation | transformers | 2024-06-06T06:17:43.000Z | Qwen/Qwen2-1.5B-Instruct-AWQ | [
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}
] | qwen2 | Qwen/Qwen2-1.5B-Instruct | 495 | text-generation | 495 | 0 | 0 | 0 | 0 | 685,151 |
663e0c516757087d1abb4ab2 | MaziyarPanahi/calme-2.3-phi3-4b | MaziyarPanahi | False | explicit-opt-out | 2024-07-20T13:39:11.000Z | 9 | false | 2f0dfbb0426ae75b0106f260658ca155b99a8df5 | {"architectures": ["Phi3ForCausalLM"], "auto_map": {"AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config", "AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"}, "model_type": "phi3", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 12,004 | [
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"autotrain_compatible",
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] | text-generation | transformers | 2024-05-10T12:00:17.000Z | MaziyarPanahi/calme-2.3-phi3-4b | [
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] | phi3 | microsoft/Phi-3-mini-4k-instruct | 470 | text-generation | 470 | 0 | 0 | 3 | 3 | 631,158 |
66214d85acbb21038cda695a | QuantFactory/Meta-Llama-3-8B-GGUF | QuantFactory | False | library-not-detected | 2024-04-20T16:20:22.000Z | 107 | false | 1ca85c857dce892b673b988ad0aa83f2cb1bbd19 | null | 11,654 | [
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"text-generation",
"en",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:quantized:meta-llama/Meta-Llama-3-8B",
"license:other",
"region:us"
] | text-generation | null | 2024-04-18T16:42:45.000Z | QuantFactory/Meta-Llama-3-8B-GGUF | [
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] | null | meta-llama/Meta-Llama-3-8B | 976 | text-generation | 976 | 0 | 0 | 0 | 0 | 592,376 |
66615424221a94f56bb9032e | Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4 | Qwen | False | not-popular-enough | 2024-08-21T10:36:01.000Z | 3 | false | b2e2d7e4336e61901d421296d0a1f418b1a93ae7 | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}} | 11,516 | [
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"en",
"base_model:Qwen/Qwen2-1.5B-Instruct",
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"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"gptq",
"region:us"
] | text-generation | transformers | 2024-06-06T06:16:04.000Z | Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4 | [
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] | qwen2 | Qwen/Qwen2-1.5B-Instruct | 495 | text-generation | 495 | 0 | 0 | 0 | 0 | 685,145 |
6639c903c168eec0239c8801 | openchat/openchat-3.6-8b-20240522 | openchat | False | not-popular-enough | 2024-05-28T05:23:57.000Z | 145 | false | 2264eb98558978f708e88ae52afb78e43b832801 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] in ['user', 'assistant'] %}{% set content = '<|start_header_id|>GPT4 Correct ' + message['role'].title() + '<|end_header_id|>\n\n' + message['content'] | trim + '<|eot_id|>' %}{% elif message['role'] == 'system' %}{% set content = '<|start_header_id|>System<|end_header_id|>\n\n' + message['content'] | trim + '<|eot_id|>' %}{% else %}{{ raise_exception('Only user, assistant and system roles are supported!') }}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>GPT4 Correct Assistant<|end_header_id|>\n\n' }}{% endif %}", "bos_token": "<|begin_of_text|>", "eos_token": "<|eot_id|>"}} | 11,394 | [
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65441824276a59f143ebfe1e | TheBloke/OpenHermes-2.5-Mistral-7B-AWQ | TheBloke | False | explicit-opt-out | 2023-11-09T18:16:14.000Z | 20 | false | a0e39e3a0ca6767307293819acb7c38e7a18cd31 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"quant_method": "awq", "bits": 4}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|im_end|>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | 11,221 | [
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6621ee4f73c423da5948c5bb | astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit | astronomer | False | explicit-opt-out | 2024-04-22T01:31:44.000Z | 25 | false | d7395bd8b015df3f7cb1b2e929d84d3a9f9bc17d | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 8, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|end_of_text|>"}} | 10,497 | [
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64f611cf6ad07ea81779ca15 | TheBloke/Llama-2-13B-chat-GGUF | TheBloke | False | explicit-opt-out | 2023-09-27T12:47:12.000Z | 190 | false | 4458acc949de0a9914c3eab623904d4fe999050a | {"model_type": "llama"} | 10,488 | [
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65e2a24775b43b925e680c3c | ibm/merlinite-7b | ibm | False | not-popular-enough | 2024-03-05T14:01:15.000Z | 103 | false | 233d12759d5bb9344231dafdb51310ec19d79c0e | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|endoftext|>", "pad_token": "<|pad|>", "unk_token": "<unk>", "use_default_system_prompt": false}} | 10,431 | [
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66bb66c6f1dfeeafae30af57 | DeepMount00/Llama-3.1-8b-Ita | DeepMount00 | False | not-popular-enough | 2024-08-22T13:46:47.000Z | 3 | false | 5ede1e388b6b15bc06acd364a8f805fe9ed16db9 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}", "eos_token": "<|eot_id|>"}} | 10,302 | [
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66b05b89a059e1ba1ea78ec1 | NousResearch/Hermes-3-Llama-3.1-8B-GGUF | NousResearch | False | library-not-detected | 2024-08-23T01:22:33.000Z | 76 | false | 307a5dfb59aa38d88b6cfd32f44b8ad7c1da9fb8 | null | 10,291 | [
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652851f32e793f1328fb1657 | teknium/OpenHermes-2-Mistral-7B | teknium | False | not-popular-enough | 2023-11-02T21:18:17.000Z | 255 | false | 4c6e34123b140ce773a8433cae5410949289102c | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | 10,113 | [
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654033397b2743b58fa41edc | cognitivecomputations/dolphin-2.2.1-mistral-7b | cognitivecomputations | False | not-popular-enough | 2024-05-20T14:50:39.000Z | 191 | false | 20f78ab87598cab137c8ce00855464cae403a3fd | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | 10,027 | [
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6699401f2ef5162d0d0ed712 | second-state/Mistral-Nemo-Instruct-2407-GGUF | second-state | False | explicit-opt-out | 2024-07-24T02:12:13.000Z | 63 | false | 58e0a77adf0ae4e2d4412e415923a8fc008bbe08 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral"} | 9,912 | [
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654418242996405c238f5eea | TheBloke/OpenHermes-2.5-Mistral-7B-GGUF | TheBloke | False | explicit-opt-out | 2023-11-02T21:48:38.000Z | 227 | false | 5682e25bb033d9d21f6d159859e21df4552c1f26 | {"model_type": "mistral"} | 9,817 | [
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] | mistral | teknium/OpenHermes-2.5-Mistral-7B | 202 | text-generation | 202 | 0 | 0 | 1 | 0 | 365,297 |
66a3f1c5ee3de8c56ef34fa3 | neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w4a16 | neuralmagic | False | not-popular-enough | 2024-09-27T17:20:06.000Z | 19 | false | 28860714d240158c59c8b7c364a658d6d353aa03 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n", "eos_token": "<|eot_id|>"}} | 9,796 | [
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] | llama | meta-llama/Llama-3.1-8B-Instruct | 695 | text-generation | 695 | 0 | 0 | 0 | 0 | 780,117 |
66aac17986490de8da1eaca9 | lmstudio-community/Mistral-Nemo-Instruct-2407-GGUF | lmstudio-community | False | library-not-detected | 2024-07-31T23:05:45.000Z | 14 | false | 532c3588dc75bc304efd4b11966b278368817f44 | null | 9,595 | [
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] | null | mistralai/Mistral-Nemo-Instruct-2407 | 101 | text-generation | 101 | 0 | 0 | 0 | 0 | 791,889 |
65c3c66ed853e2702e10009c | neuralmagic/zephyr-7b-beta-marlin | neuralmagic | False | not-popular-enough | 2024-03-06T02:11:36.000Z | 1 | false | 99a5e49790b8a190ef3dfe2393ee3f447a4f8f82 | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | 9,375 | [
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] | mistral | HuggingFaceH4/zephyr-7b-beta | 439 | text-generation | 439 | 0 | 0 | 0 | 0 | 484,327 |
6508e41ff36bb51c5001973b | TheBloke/Llama-2-13B-chat-AWQ | TheBloke | False | explicit-opt-out | 2023-11-09T18:21:10.000Z | 26 | false | e609cfc317ae4da50bb1839b8dcc3bf3a65f0fb7 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "awq", "bits": 4}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "pad_token": null, "unk_token": {"__type": "AddedToken", "content": "<unk>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}}} | 9,341 | [
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] | llama | meta-llama/Llama-2-13b-chat-hf | 318 | text-generation | 318 | 0 | 0 | 0 | 0 | 317,974 |
66d1c810d460a0c31211f913 | mowen222/Qwen-Qwen1.5-7B-1725024272 | mowen222 | False | pipeline-not-detected | 2024-08-30T13:24:51.000Z | 0 | false | a68dfa5c612bc65c4c4b72809daa457ac50330a5 | {"tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": null}, "peft": {"base_model_name_or_path": "Qwen/Qwen1.5-7B", "task_type": "CAUSAL_LM"}} | 9,221 | [
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] | null | Qwen/Qwen1.5-7B | 6,515 | text-generation | 6,515 | 0 | 0 | 0 | 0 | 877,815 |
66252cb1ffe1be5ef3797017 | shenzhi-wang/Llama3-8B-Chinese-Chat | shenzhi-wang | False | not-popular-enough | 2024-07-04T10:08:56.000Z | 634 | false | f25f13cb2571e70e285121faceac92926b51e6f5 | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{ '<|begin_of_text|>' }}{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% set loop_messages = messages[1:] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>system<|end_header_id|>\n\n' + system_message | trim + '<|eot_id|>' }}{% endif %}{% for message in loop_messages %}{{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}", "eos_token": "<|eot_id|>", "pad_token": "<|eot_id|>"}} | 9,187 | [
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] | llama | meta-llama/Meta-Llama-3-8B-Instruct | 1,076 | text-generation | 1,076 | 1 | 6 | 7 | 14 | 597,316 |
655de1d96a37ab8e1c719a58 | peft-internal-testing/gpt2-lora-random | peft-internal-testing | False | pipeline-not-detected | 2023-11-22T11:15:49.000Z | 0 | false | 70e66605fa293b69e07d0c20a841c29f55734b1b | {"peft": {"base_model_name_or_path": "gpt2", "task_type": "CAUSAL_LM"}} | 9,000 | [
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{
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{
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}
] | null | meta-llama/Meta-Llama-3-8B | 976 | text-generation | 976 | 0 | 0 | 0 | 0 | 617,487 |