Upload 18 files
Browse files- .gitattributes +2 -0
- README.md +46 -1
- config.json +26 -0
- ggml-model-Q4_K_M.gguf +3 -0
- ggml-model-f16.gguf +3 -0
- mergekit_config.yml +16 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ggml-model-f16.gguf filter=lfs diff=lfs merge=lfs -text
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ggml-model-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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-
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---
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---
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base_model:
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- teknium/OpenHermes-2.5-Mistral-7B
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- mistralai/Mistral-7B-v0.1
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- senseable/WestLake-7B-v2
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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### Models Merged
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The following models were included in the merge:
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* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: senseable/WestLake-7B-v2
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parameters:
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density: 0.53
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weight: 0.75
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- model: teknium/OpenHermes-2.5-Mistral-7B
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parameters:
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density: 0.53
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weight: 0.25
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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ggml-model-Q4_K_M.gguf
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ggml-model-f16.gguf
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mergekit_config.yml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: senseable/WestLake-7B-v2
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parameters:
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density: 0.53
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weight: 0.75
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- model: teknium/OpenHermes-2.5-Mistral-7B
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parameters:
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density: 0.53
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weight: 0.25
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
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"content": "<unk>",
|
7 |
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"lstrip": false,
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8 |
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|
9 |
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|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
12 |
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},
|
13 |
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"1": {
|
14 |
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"content": "<s>",
|
15 |
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"lstrip": false,
|
16 |
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"normalized": false,
|
17 |
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|
18 |
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"single_word": false,
|
19 |
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"special": true
|
20 |
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},
|
21 |
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
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|
26 |
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"single_word": false,
|
27 |
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"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
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"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
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"eos_token": "</s>",
|
34 |
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"legacy": true,
|
35 |
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"model_max_length": 1000000000000000019884624838656,
|
36 |
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"pad_token": null,
|
37 |
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"sp_model_kwargs": {},
|
38 |
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"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
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"use_default_system_prompt": false
|
42 |
+
}
|