初始化项目，由ModelHub XC社区提供模型
Model: linjc16/Panacea-7B-Chat Source: Original Platform
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README.md
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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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base_model:
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- mistralai/Mistral-7B-v0.1
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pipeline_tag: text-generation
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tags:
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- clinical trial
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- foundation model
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---
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# Model Card for Panacea-7B-Chat
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The Panacea-7B-Chat is a foundation model for clinical trial search, summarization, design, and recruitment. It was equipped with clinical knowledge by being trained on 793,279 clinical trial design documents
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worldwide and 1,113,207 clinical study papers. It shows superior performances than various open-sourced LLMs and medical LLMs on clinical trial tasks.
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For full details of this model please read our [paper](https://arxiv.org/abs/2407.11007).
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## Model Training
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Panacea is trained from [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). The training of Panacea consists of an alignment step and an instruction-tuning step.
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* Alignment step: continued pre-training on a large collection of trial documents and trial-related scientific papers. This step adapts Panacea to the vocabulary commonly used in clinical trials.
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* Instruction-tuning step: further enables Panacea to comprehend the user explanation of the task definition and the output requirement.
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Load the model in the following way (same as Mistral):
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_id = 'linjc16/Panacea-7B-Chat'
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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```
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## Citation
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If you find our paper or models helpful, please consider cite as follows:
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```bibtex
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@article{lin2024panacea,
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title={Panacea: A foundation model for clinical trial search, summarization, design, and recruitment},
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author={Lin, Jiacheng and Xu, Hanwen and Wang, Zifeng and Wang, Sheng and Sun, Jimeng},
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journal={arXiv preprint arXiv:2407.11007},
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year={2024}
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}
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```
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config.json
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"architectures": [
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"MistralForCausalLM"
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"transformers_version": "4.37.0",
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|
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|
||||
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|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"2": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 8192,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user