Text Generation
MLX
Safetensors
English
Chinese
qwen2
medical
conversational
4-bit precision
abalogh commited on
Commit
939826a
·
verified ·
1 Parent(s): a6ce805

a605421716e89d561077dd7d2d5a315a138c7880cc6226e19b011d4e1f6809e8

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - FreedomIntelligence/medical-o1-reasoning-SFT
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+ - FreedomIntelligence/medical-o1-verifiable-problem
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+ language:
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+ - en
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+ - zh
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+ base_model: FreedomIntelligence/HuatuoGPT-o1-72B
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+ pipeline_tag: text-generation
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+ tags:
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+ - medical
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+ - mlx
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+ ---
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+
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+ # abalogh/HuatuoGPT-o1-72B-4bit
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+
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+ The Model [abalogh/HuatuoGPT-o1-72B-4bit](https://huggingface.co/abalogh/HuatuoGPT-o1-72B-4bit) was
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+ converted to MLX format from [FreedomIntelligence/HuatuoGPT-o1-72B](https://huggingface.co/FreedomIntelligence/HuatuoGPT-o1-72B)
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+ using mlx-lm version **0.20.6**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("abalogh/HuatuoGPT-o1-72B-4bit")
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+
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+ prompt="hello"
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+
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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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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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vocab.json ADDED
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