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Browse files- README.md +39 -0
- config.json +86 -0
- model.safetensors +3 -0
- special_tokens_map.json +44 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +45 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- gpt
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- llm
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- large language model
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- h2o-llmstudio
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- mlx
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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- Intel/orca_dpo_pairs
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- argilla/distilabel-math-preference-dpo
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- Open-Orca/OpenOrca
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- OpenAssistant/oasst2
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- HuggingFaceH4/ultrachat_200k
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- meta-math/MetaMathQA
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thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
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widget:
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- text: <|prompt|>Why is drinking water so healthy?</s><|answer|>
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---
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# mlx-community/h2o-danube-1.8b-chat-4bit-mlx
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This model was converted to MLX format from [`h2oai/h2o-danube-1.8b-chat`]().
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Refer to the [original model card](https://huggingface.co/h2oai/h2o-danube-1.8b-chat) for more details on the model.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/h2o-danube-1.8b-chat-4bit-mlx")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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{
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"vocab_size": 32000,
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"max_position_embeddings": 16384,
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"hidden_size": 2560,
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"intermediate_size": 6912,
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"num_hidden_layers": 24,
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"num_attention_heads": 32,
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"sliding_window": 4096,
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"num_key_value_heads": 8,
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"rms_norm_eps": 1e-05,
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"use_cache": true,
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"rope_theta": 10000.0,
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"attention_dropout": 0.0,
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"torchscript": false,
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"torch_dtype": "bfloat16",
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"pruned_heads": {},
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"tie_word_embeddings": false,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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"add_cross_attention": false,
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"tie_encoder_decoder": false,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"typical_p": 1.0,
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"repetition_penalty": 1.0,
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"length_penalty": 1.0,
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"no_repeat_ngram_size": 0,
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"encoder_no_repeat_ngram_size": 0,
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"bad_words_ids": null,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"architectures": [
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"MistralForCausalLM"
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],
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"tokenizer_class": null,
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"prefix": null,
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"bos_token_id": 1,
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"pad_token_id": 0,
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"eos_token_id": 2,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"task_specific_params": null,
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"problem_type": null,
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"_name_or_path": "/Users/bat/.cache/huggingface/hub/models--h2oai--h2o-danube-1.8b-chat/snapshots/e2a18423798fa43e6c9935073d9c24c0cd901c6d",
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"transformers_version": "4.37.2",
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"model_type": "mistral",
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"pretraining_tp": 1,
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"rope_scaling": null,
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"quantization": {
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"group_size": 64,
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"bits": 4
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e84d08c96250c872911cc1100281c85c1597f56c84d984bfa0a1a25574ff08d8
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size 1148052860
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"single_word": false
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"pad_token": {
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"sep_token": {
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"content": "</s>",
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"single_word": false
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": false,
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"0": {
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"special": true
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},
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"1": {
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"content": "<s>",
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"normalized": false,
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"special": true
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},
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"2": {
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ '<|prompt|>' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ '<|system|>' + message['content'] + eos_token }}{% elif message['role'] == 'assistant' %}{{ '<|answer|>' + message['content'] + eos_token }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|answer|>' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"cls_token": "</s>",
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<unk>",
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"padding_side": "left",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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