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---
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||||
license: apache-2.0
|
||||
datasets:
|
||||
- FreedomIntelligence/ApolloMoEDataset
|
||||
language:
|
||||
- ar
|
||||
- en
|
||||
- zh
|
||||
- ko
|
||||
- ja
|
||||
- mn
|
||||
- th
|
||||
- vi
|
||||
- lo
|
||||
- mg
|
||||
- de
|
||||
- pt
|
||||
- es
|
||||
- fr
|
||||
- ru
|
||||
- it
|
||||
- hr
|
||||
- gl
|
||||
- cs
|
||||
- co
|
||||
- la
|
||||
- uk
|
||||
- bs
|
||||
- bg
|
||||
- eo
|
||||
- sq
|
||||
- da
|
||||
- sa
|
||||
- gn
|
||||
- sr
|
||||
- sk
|
||||
- gd
|
||||
- lb
|
||||
- hi
|
||||
- ku
|
||||
- mt
|
||||
- he
|
||||
- ln
|
||||
- bm
|
||||
- sw
|
||||
- ig
|
||||
- rw
|
||||
- ha
|
||||
metrics:
|
||||
- accuracy
|
||||
base_model:
|
||||
- Qwen/Qwen2-1.5B
|
||||
pipeline_tag: question-answering
|
||||
tags:
|
||||
- biology
|
||||
- medical
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||||
---
|
||||
# Democratizing Medical LLMs For Much More Languages
|
||||
|
||||
Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.
|
||||
|
||||
|
||||
|
||||
<p align="center">
|
||||
📃 <a href="https://arxiv.org/abs/2410.10626" target="_blank">Paper</a> • 🌐 <a href="" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a> • 🤗 <a href="https://huggingface.co/collections/FreedomIntelligence/apollomoe-and-apollo2-670ddebe3bb1ba1aebabbf2c" target="_blank">Models</a> •🌐 <a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Apollo</a> • 🌐 <a href="https://github.com/FreedomIntelligence/ApolloMoE" target="_blank">ApolloMoE</a>
|
||||
</p>
|
||||
|
||||
|
||||
|
||||

|
||||
|
||||
|
||||
## 🌈 Update
|
||||
|
||||
* **[2024.10.15]** ApolloMoE repo is published!🎉
|
||||
|
||||
|
||||
## Languages Coverage
|
||||
12 Major Languages and 38 Minor Languages
|
||||
|
||||
<details>
|
||||
<summary>Click to view the Languages Coverage</summary>
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
|
||||
## Architecture
|
||||
|
||||
<details>
|
||||
<summary>Click to view the MoE routing image</summary>
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
## Results
|
||||
|
||||
#### Dense
|
||||
🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-0.5B" target="_blank">Apollo2-0.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-1.5B" target="_blank">Apollo2-1.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-2B" target="_blank">Apollo2-2B</a>
|
||||
|
||||
🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-3.8B" target="_blank">Apollo2-3.8B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-7B" target="_blank">Apollo2-7B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo2-9B" target="_blank">Apollo2-9B</a>
|
||||
|
||||
<details>
|
||||
<summary>Click to view the Dense Models Results</summary>
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
|
||||
#### Post-MoE
|
||||
🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-0.5B" target="_blank">Apollo-MoE-0.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-1.5B" target="_blank">Apollo-MoE-1.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-MoE-7B" target="_blank">Apollo-MoE-7B</a>
|
||||
|
||||
<details>
|
||||
<summary>Click to view the Post-MoE Models Results</summary>
|
||||
|
||||

|
||||
|
||||
</details>
|
||||
|
||||
|
||||
|
||||
|
||||
## Usage Format
|
||||
##### Apollo2
|
||||
- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
|
||||
- 2B, 9B: User:{query}\nAssistant:{response}\<eos\>
|
||||
- 3.8B: <|user|>\n{query}<|end|><|assisitant|>\n{response}<|end|>
|
||||
|
||||
##### Apollo-MoE
|
||||
- 0.5B, 1.5B, 7B: User:{query}\nAssistant:{response}<|endoftext|>
|
||||
|
||||
## Dataset & Evaluation
|
||||
|
||||
- Dataset
|
||||
🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEDataset" target="_blank">ApolloMoEDataset</a>
|
||||
|
||||
<details><summary>Click to expand</summary>
|
||||
|
||||

|
||||
|
||||
- [Data category](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/tree/main/train)
|
||||
|
||||
|
||||
</details>
|
||||
|
||||
- Evaluation
|
||||
🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloMoEBench" target="_blank">ApolloMoEBench</a>
|
||||
|
||||
<details><summary>Click to expand</summary>
|
||||
|
||||
- EN:
|
||||
- [MedQA-USMLE](https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options)
|
||||
- [MedMCQA](https://huggingface.co/datasets/medmcqa/viewer/default/test)
|
||||
- [PubMedQA](https://huggingface.co/datasets/pubmed_qa): Because the results fluctuated too much, they were not used in the paper.
|
||||
- [MMLU-Medical](https://huggingface.co/datasets/cais/mmlu)
|
||||
- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
|
||||
- ZH:
|
||||
- [MedQA-MCMLE](https://huggingface.co/datasets/bigbio/med_qa/viewer/med_qa_zh_4options_bigbio_qa/test)
|
||||
- [CMB-single](https://huggingface.co/datasets/FreedomIntelligence/CMB): Not used in the paper
|
||||
- Randomly sample 2,000 multiple-choice questions with single answer.
|
||||
- [CMMLU-Medical](https://huggingface.co/datasets/haonan-li/cmmlu)
|
||||
- Anatomy, Clinical_knowledge, College_medicine, Genetics, Nutrition, Traditional_chinese_medicine, Virology
|
||||
- [CExam](https://github.com/williamliujl/CMExam): Not used in the paper
|
||||
- Randomly sample 2,000 multiple-choice questions
|
||||
|
||||
|
||||
- ES: [Head_qa](https://huggingface.co/datasets/head_qa)
|
||||
- FR:
|
||||
- [Frenchmedmcqa](https://github.com/qanastek/FrenchMedMCQA)
|
||||
- [MMLU_FR]
|
||||
- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
|
||||
- HI: [MMLU_HI](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Hindi)
|
||||
- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
|
||||
- AR: [MMLU_AR](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Arabic)
|
||||
- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
|
||||
- JA: [IgakuQA](https://github.com/jungokasai/IgakuQA)
|
||||
- KO: [KorMedMCQA](https://huggingface.co/datasets/sean0042/KorMedMCQA)
|
||||
- IT:
|
||||
- [MedExpQA](https://huggingface.co/datasets/HiTZ/MedExpQA)
|
||||
- [MMLU_IT]
|
||||
- Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
|
||||
- DE: [BioInstructQA](https://huggingface.co/datasets/BioMistral/BioInstructQA): German part
|
||||
- PT: [BioInstructQA](https://huggingface.co/datasets/BioMistral/BioInstructQA): Portuguese part
|
||||
- RU: [RuMedBench](https://github.com/sb-ai-lab/MedBench)
|
||||
|
||||
|
||||
|
||||
|
||||
</details>
|
||||
## Model Download and Inference
|
||||
We take Apollo-MoE-0.5B as an example
|
||||
1. Login Huggingface
|
||||
|
||||
```
|
||||
huggingface-cli login --token $HUGGINGFACE_TOKEN
|
||||
```
|
||||
|
||||
2. Download model to local dir
|
||||
|
||||
```python
|
||||
from huggingface_hub import snapshot_download
|
||||
import os
|
||||
|
||||
local_model_dir=os.path.join('/path/to/models/dir','Apollo-MoE-0.5B')
|
||||
snapshot_download(repo_id="FreedomIntelligence/Apollo-MoE-0.5B", local_dir=local_model_dir)
|
||||
```
|
||||
|
||||
3. Inference Example
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
|
||||
import os
|
||||
|
||||
local_model_dir=os.path.join('/path/to/models/dir','Apollo-MoE-0.5B')
|
||||
|
||||
model=AutoModelForCausalLM.from_pretrained(local_model_dir,trust_remote_code=True)
|
||||
tokenizer = AutoTokenizer.from_pretrained(local_model_dir,trust_remote_code=True)
|
||||
generation_config = GenerationConfig.from_pretrained(local_model_dir, pad_token_id=tokenizer.pad_token_id, num_return_sequences=1, max_new_tokens=7, min_new_tokens=2, do_sample=False, temperature=1.0, top_k=50, top_p=1.0)
|
||||
|
||||
inputs = tokenizer('Answer direclty.\nThe capital of Mongolia is Ulaanbaatar.\nThe capital of Iceland is Reykjavik.\nThe capital of Australia is', return_tensors='pt')
|
||||
inputs = inputs.to(model.device)
|
||||
pred = model.generate(**inputs,generation_config=generation_config)
|
||||
print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
## Results reproduction
|
||||
<details><summary>Click to expand</summary>
|
||||
|
||||
|
||||
We take Apollo2-7B or Apollo-MoE-0.5B as example
|
||||
1. Download Dataset for project:
|
||||
|
||||
```
|
||||
bash 0.download_data.sh
|
||||
```
|
||||
|
||||
2. Prepare test and dev data for specific model:
|
||||
|
||||
|
||||
- Create test data for with special token
|
||||
|
||||
```
|
||||
bash 1.data_process_test&dev.sh
|
||||
```
|
||||
|
||||
3. Prepare train data for specific model (Create tokenized data in advance):
|
||||
|
||||
|
||||
- You can adjust data Training order and Training Epoch in this step
|
||||
|
||||
```
|
||||
bash 2.data_process_train.sh
|
||||
```
|
||||
|
||||
4. Train the model
|
||||
|
||||
|
||||
- If you want to train in Multi Nodes please refer to ./src/sft/training_config/zero_multi.yaml
|
||||
|
||||
|
||||
```
|
||||
bash 3.single_node_train.sh
|
||||
```
|
||||
|
||||
|
||||
5. Evaluate your model: Generate score for benchmark
|
||||
|
||||
```
|
||||
bash 4.eval.sh
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
|
||||
## Citation
|
||||
Please use the following citation if you intend to use our dataset for training or evaluation:
|
||||
|
||||
```
|
||||
@misc{zheng2024efficientlydemocratizingmedicalllms,
|
||||
title={Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts},
|
||||
author={Guorui Zheng and Xidong Wang and Juhao Liang and Nuo Chen and Yuping Zheng and Benyou Wang},
|
||||
year={2024},
|
||||
eprint={2410.10626},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.CL},
|
||||
url={https://arxiv.org/abs/2410.10626},
|
||||
}
|
||||
```
|
||||
5
added_tokens.json
Normal file
5
added_tokens.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"<|endoftext|>": 151643,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644
|
||||
}
|
||||
27
config.json
Normal file
27
config.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1536,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8960,
|
||||
"max_position_embeddings": 131072,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 12,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 2,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.44.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "question-answering", "allow_remote": true}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151643,
|
||||
"max_new_tokens": 2048,
|
||||
"transformers_version": "4.44.2"
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:95aa141c5ef52571ab9be4798010d0331bf19b8c68c84705ab087d02fc646885
|
||||
size 3554214752
|
||||
20
special_tokens_map.json
Normal file
20
special_tokens_map.json
Normal file
@@ -0,0 +1,20 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
303119
tokenizer.json
Normal file
303119
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
44
tokenizer_config.json
Normal file
44
tokenizer_config.json
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "left",
|
||||
"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