Upload folder using huggingface_hub
Browse files- README.md +127 -1
- added_tokens.json +4 -0
- config.json +80 -0
- model-00001-of-00002.safetensors +3 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -0
README.md
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---
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---
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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: trl
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tags:
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- distilabel
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- dpo
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- rlaif
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- rlhf
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- mlx
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base_model: teknium/OpenHermes-2.5-Mistral-7B
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datasets:
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- argilla/dpo-mix-7k
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model-index:
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- name: CapybaraHermes-2.5-Mistral-7B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 65.78
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 85.45
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 63.13
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 56.91
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 78.3
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 59.29
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B
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name: Open LLM Leaderboard
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---
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# CapybaraHermes-2.5-Mistral-7B
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This model was converted to MLX format from [`argilla/CapybaraHermes-2.5-Mistral-7B`]().
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Refer to the [original model card](https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B) 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
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git clone https://github.com/ml-explore/mlx-examples.git
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cd mlx-examples/llms/hf_llm
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python generate.py --model mlx-community/CapybaraHermes-2.5-Mistral-7B --prompt "My name is"
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```
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"vocab_size": 32002,
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3 |
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"max_position_embeddings": 32768,
|
4 |
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"hidden_size": 4096,
|
5 |
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"intermediate_size": 14336,
|
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"num_hidden_layers": 32,
|
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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": false,
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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": "float16",
|
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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,
|
25 |
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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,
|
31 |
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"max_length": 20,
|
32 |
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"min_length": 0,
|
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"do_sample": false,
|
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"early_stopping": false,
|
35 |
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"num_beams": 1,
|
36 |
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"num_beam_groups": 1,
|
37 |
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"diversity_penalty": 0.0,
|
38 |
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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": [
|
57 |
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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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},
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"sep_token_id": null,
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"problem_type": null,
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"_name_or_path": "argilla/CapybaraHermes-2.5-Mistral-7B",
|
78 |
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"transformers_version": "4.38.2",
|
79 |
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"model_type": "mistral"
|
80 |
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}
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model-00001-of-00002.safetensors
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special_tokens_map.json
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|
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<|im_end|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"additional_special_tokens": [],
|
47 |
+
"bos_token": "<s>",
|
48 |
+
"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 %}",
|
49 |
+
"clean_up_tokenization_spaces": false,
|
50 |
+
"eos_token": "<|im_end|>",
|
51 |
+
"legacy": true,
|
52 |
+
"model_max_length": 1000000000000000019884624838656,
|
53 |
+
"pad_token": null,
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"spaces_between_special_tokens": false,
|
56 |
+
"tokenizer_class": "LlamaTokenizer",
|
57 |
+
"trust_remote_code": false,
|
58 |
+
"unk_token": "<unk>",
|
59 |
+
"use_default_system_prompt": true,
|
60 |
+
"use_fast": true
|
61 |
+
}
|