初始化项目，由ModelHub XC社区提供模型
Model: suhailult777/MedBrain-0.5B Source: Original Platform
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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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tags:
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- medical
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- healthcare
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- text-generation
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- jax
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- pytorch
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datasets:
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- Mohammed-Altaf/medical-instruction-100k
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pipeline_tag: text-generation
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---
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# 🩺 MedBrain-0.5B
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**MedBrain-0.5B** is a highly efficient, custom-trained medical language model designed to provide accurate, structured, and context-aware responses to healthcare inquiries, clinical handoffs, and patient education instructions.
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Originally trained meticulously in a pure **Google JAX / Flax** environment for extreme performance, the weights have been seamlessly merged and optimized into a standard PyTorch parameter format for universal compatibility and instant deployment.
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## 🚀 Quick Start
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You can run this model instantly using standard Hugging Face `transformers`:
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "suhailult777/MedBrain-0.5B"
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# Load Tokenizer and Model
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float32)
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# Format your medical prompt
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prompt = "A patient presents with sudden shortness of breath and left-sided chest pain. What are the immediate triage steps?"
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formatted_prompt = f"<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n"
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# Run inference
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inputs = tokenizer(formatted_prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=150)
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print(tokenizer.decode(outputs[0], skip_special_tokens=False))
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```
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## 🧠 Architecture & Methodology
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- **Parameter Count:** ~0.5 Billion parameters
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- **Optimization Strategy:** Low-Rank Adaptation (LoRA) - Rank 16, Alpha 16
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- **Training Infrastructure:** Custom JAX native dynamic loop utilizing `Optax` schedulers.
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- **Base Architecture Mapping:** Transformer-based Causal LM.
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- **Dataset:** Fine-tuned on the structured `Mohammed-Altaf/medical-instruction-100k` corpus, which provides vast arrays of physician-patient interactions.
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## 🛠️ Intended Use
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1. **Medical Triage Assistance:** Assisting clinicians in organizing thoughts around symptoms.
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2. **Clinical Handoff Generators:** Structuring patient handoff notes quickly.
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3. **Patient Education:** Formatting complex medical jargon into easy-to-understand explanations.
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## ⚠️ Limitations & Clinical Warning
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This model is built as an **experimental research artifact**.
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It should **never** be used for clinical decision-making, raw diagnostic purposes, or serving as a replacement for a licensed healthcare professional. LLMs can hallucinate confidently. Always consult a certified physician for medical advice.
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added_tokens.json
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9562b681c47a3f66fdabe52d7fb43e1b3a6012f1c1e9601920d6040f1697e240
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size 1976163472
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special_tokens_map.json
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|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user