Upload folder using huggingface_hub
#1
by
jy-hxy
- opened
- README.md +137 -0
- config.json +36 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +2462 -0
README.md
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1 |
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---
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license: apache-2.0
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Language:
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- En
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Pipeline_tag: text-generation
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Base_model: 01-ai/Yi-1.5-34B-32K
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Tags:
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- Chat
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- mlx
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base_model: anthracite-org/magnum-v3-34b
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model-index:
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- name: magnum-v3-34b
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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27 |
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value: 51.15
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28 |
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name: strict accuracy
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29 |
+
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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name: Open LLM Leaderboard
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+
- task:
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type: text-generation
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34 |
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 44.33
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 17.82
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 14.77
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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83 |
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args:
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84 |
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num_few_shot: 0
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metrics:
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+
- type: acc_norm
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87 |
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value: 6.57
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name: acc_norm
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source:
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90 |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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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104 |
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value: 41.69
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name: accuracy
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source:
|
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v3-34b
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name: Open LLM Leaderboard
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---
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# mlx-community/magnum-v3-34b-4bit
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The Model [mlx-community/magnum-v3-34b-4bit](https://huggingface.co/mlx-community/magnum-v3-34b-4bit) was
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converted to MLX format from [anthracite-org/magnum-v3-34b](https://huggingface.co/anthracite-org/magnum-v3-34b)
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using mlx-lm version **0.20.4**.
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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/magnum-v3-34b-4bit")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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13 |
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"max_position_embeddings": 32768,
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14 |
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"mlp_bias": false,
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15 |
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"model_type": "llama",
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16 |
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"num_attention_heads": 56,
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17 |
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"num_hidden_layers": 60,
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18 |
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"num_key_value_heads": 8,
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19 |
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"pretraining_tp": 1,
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"quantization": {
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"group_size": 64,
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22 |
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"bits": 4
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23 |
+
},
|
24 |
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"quantization_config": {
|
25 |
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"group_size": 64,
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26 |
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"bits": 4
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},
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28 |
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"rms_norm_eps": 1e-06,
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29 |
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"rope_scaling": null,
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30 |
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"rope_theta": 5000000,
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31 |
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"tie_word_embeddings": false,
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32 |
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"torch_dtype": "bfloat16",
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33 |
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"transformers_version": "4.44.0",
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34 |
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"use_cache": false,
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35 |
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"vocab_size": 64000
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}
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:ab02f721470123441505959600a40640ed6fe2e236da6595200e26b40cf4abcc
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3 |
+
size 5345192497
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:153b3a77d24f7fb2395e71f021479f923b247f9fb957eb09954f8435443a9c54
|
3 |
+
size 5334900453
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:271d9845a4bf7a1fc1538eae095c85be04c0554b694bb206cba0ce556623c774
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size 5334900447
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:68fdc15907ab469bfebbf99f8b19b3a9f7af074ebcd16d1943f9dbbb041b5765
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3 |
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size 3330177712
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model.safetensors.index.json
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special_tokens_map.json
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<|startoftext|>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": true,
|
6 |
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"rstrip": false,
|
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"single_word": false
|
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},
|
9 |
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"eos_token": {
|
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"content": "<|im_end|>",
|
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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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"pad_token": {
|
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"content": "<unk>",
|
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+
"lstrip": false,
|
19 |
+
"normalized": true,
|
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+
"rstrip": false,
|
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+
"single_word": false
|
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+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"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 sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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size 1033105
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
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"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|startoftext|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "<|endoftext|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"3": {
|
31 |
+
"content": "<|Human|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"4": {
|
39 |
+
"content": "<|Assistant|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"5": {
|
47 |
+
"content": "<|System|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"6": {
|
55 |
+
"content": "<|im_start|>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
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"7": {
|
63 |
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"content": "<|im_end|>",
|
64 |
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"lstrip": false,
|
65 |
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"normalized": false,
|
66 |
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"rstrip": false,
|
67 |
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"single_word": false,
|
68 |
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"special": true
|
69 |
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},
|
70 |
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"8": {
|
71 |
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"content": "<|im_sep|>",
|
72 |
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"lstrip": false,
|
73 |
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"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
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"single_word": false,
|
76 |
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"special": false
|
77 |
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},
|
78 |
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"9": {
|
79 |
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"content": "<|reserved003|>",
|
80 |
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"lstrip": false,
|
81 |
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"normalized": false,
|
82 |
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"rstrip": false,
|
83 |
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"single_word": false,
|
84 |
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"special": true
|
85 |
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},
|
86 |
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"10": {
|
87 |
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"content": "<|reserved004|>",
|
88 |
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"lstrip": false,
|
89 |
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"normalized": false,
|
90 |
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"rstrip": false,
|
91 |
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"single_word": false,
|
92 |
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"special": true
|
93 |
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},
|
94 |
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"11": {
|
95 |
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"content": "<|reserved005|>",
|
96 |
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"lstrip": false,
|
97 |
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"normalized": false,
|
98 |
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"rstrip": false,
|
99 |
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|
100 |
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"special": true
|
101 |
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},
|
102 |
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"12": {
|
103 |
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"content": "<|reserved006|>",
|
104 |
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"lstrip": false,
|
105 |
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"normalized": false,
|
106 |
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"rstrip": false,
|
107 |
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"single_word": false,
|
108 |
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"special": true
|
109 |
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},
|
110 |
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"13": {
|
111 |
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"content": "<|reserved007|>",
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112 |
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|
113 |
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|
114 |
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"rstrip": false,
|
115 |
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|
116 |
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"special": true
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117 |
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},
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118 |
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"14": {
|
119 |
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120 |
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121 |
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122 |
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123 |
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|
124 |
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125 |
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126 |
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"15": {
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127 |
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128 |
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|
129 |
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130 |
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131 |
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132 |
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133 |
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134 |
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"16": {
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135 |
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"content": "<fim_suffix>",
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136 |
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137 |
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138 |
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139 |
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140 |
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141 |
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142 |
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"17": {
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143 |
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144 |
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145 |
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|
146 |
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147 |
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148 |
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"special": false
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149 |
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150 |
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"18": {
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151 |
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152 |
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153 |
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154 |
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155 |
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156 |
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157 |
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158 |
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"19": {
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159 |
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160 |
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161 |
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162 |
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163 |
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164 |
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"special": false
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165 |
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},
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166 |
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"20": {
|
167 |
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"content": "<issue_start>",
|
168 |
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"lstrip": false,
|
169 |
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"normalized": false,
|
170 |
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"rstrip": false,
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171 |
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172 |
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"special": false
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173 |
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},
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174 |
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"21": {
|
175 |
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"content": "<issue_comment>",
|
176 |
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"lstrip": false,
|
177 |
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"normalized": false,
|
178 |
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"rstrip": false,
|
179 |
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|
180 |
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"special": false
|
181 |
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},
|
182 |
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"22": {
|
183 |
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"content": "<issue_closed>",
|
184 |
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185 |
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|
186 |
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|
187 |
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188 |
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"special": false
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189 |
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|
190 |
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"23": {
|
191 |
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"content": "<jupyter_start>",
|
192 |
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|
193 |
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"normalized": false,
|
194 |
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"rstrip": false,
|
195 |
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196 |
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"special": false
|
197 |
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|
198 |
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"24": {
|
199 |
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"content": "<jupyter_text>",
|
200 |
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},
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},
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2414 |
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2415 |
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2418 |
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},
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2422 |
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2423 |
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2424 |
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2425 |
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2426 |
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2427 |
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2428 |
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2429 |
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},
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2430 |
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2431 |
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},
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2444 |
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2445 |
+
}
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2446 |
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},
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2447 |
+
"bos_token": "<|startoftext|>",
|
2448 |
+
"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 %}",
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2449 |
+
"clean_up_tokenization_spaces": false,
|
2450 |
+
"eos_token": "<|im_end|>",
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2451 |
+
"extra_special_tokens": {},
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2452 |
+
"legacy": true,
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2453 |
+
"model_max_length": 4096,
|
2454 |
+
"pad_token": "<unk>",
|
2455 |
+
"padding_side": "right",
|
2456 |
+
"sp_model_kwargs": {},
|
2457 |
+
"spaces_between_special_tokens": false,
|
2458 |
+
"split_special_tokens": false,
|
2459 |
+
"tokenizer_class": "LlamaTokenizer",
|
2460 |
+
"unk_token": "<unk>",
|
2461 |
+
"use_default_system_prompt": false
|
2462 |
+
}
|