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RichardErkhov/
FreedomIntelligence_-_Apollo-1.8B-gguf

Name: FreedomIntelligence_-_Apollo-1.8B-gguf
Availability: InStock

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Apollo-1.8B - GGUF

Model creator: https://huggingface.co/FreedomIntelligence/
Original model: https://huggingface.co/FreedomIntelligence/Apollo-1.8B/

Name	Quant method	Size
Apollo-1.8B.Q2_K.gguf	Q2_K	0.78GB
Apollo-1.8B.Q3_K_S.gguf	Q3_K_S	0.89GB
Apollo-1.8B.Q3_K.gguf	Q3_K	0.97GB
Apollo-1.8B.Q3_K_M.gguf	Q3_K_M	0.97GB
Apollo-1.8B.Q3_K_L.gguf	Q3_K_L	1.0GB
Apollo-1.8B.IQ4_XS.gguf	IQ4_XS	1.01GB
Apollo-1.8B.Q4_0.gguf	Q4_0	1.04GB
Apollo-1.8B.IQ4_NL.gguf	IQ4_NL	1.05GB
Apollo-1.8B.Q4_K_S.gguf	Q4_K_S	1.08GB
Apollo-1.8B.Q4_K.gguf	Q4_K	1.16GB
Apollo-1.8B.Q4_K_M.gguf	Q4_K_M	1.16GB
Apollo-1.8B.Q4_1.gguf	Q4_1	1.13GB
Apollo-1.8B.Q5_0.gguf	Q5_0	1.22GB
Apollo-1.8B.Q5_K_S.gguf	Q5_K_S	1.24GB
Apollo-1.8B.Q5_K.gguf	Q5_K	1.31GB
Apollo-1.8B.Q5_K_M.gguf	Q5_K_M	1.31GB
Apollo-1.8B.Q5_1.gguf	Q5_1	1.31GB
Apollo-1.8B.Q6_K.gguf	Q6_K	1.47GB
Apollo-1.8B.Q8_0.gguf	Q8_0	1.82GB

Original model description:

license: apache-2.0

Multilingual Medicine: Model, Dataset, Benchmark, Code

Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far

👨🏻‍💻Github •📃 Paper • 🌐 Demo • 🤗 ApolloCorpus • 🤗 XMedBench
中文 | English

🌈 Update

[2024.03.07] Paper released.
[2024.02.12] ApolloCorpus and XMedBench is published！🎉
[2024.01.23] Apollo repo is published！🎉

Results

🤗Apollo-0.5B • 🤗 Apollo-1.8B • 🤗 Apollo-2B • 🤗 Apollo-6B • 🤗 Apollo-7B

🤗 Apollo-0.5B-GGUF • 🤗 Apollo-2B-GGUF • 🤗 Apollo-6B-GGUF • 🤗 Apollo-7B-GGUF

Usage Format

User:{query}\nAssistant:{response}<|endoftext|>

Dataset & Evaluation

Dataset 🤗 ApolloCorpus
Click to expand

Apollo
- Zip File
- Data category
  - Pretrain:
    - data item:
      
      json_name: {data_source}{language}{data_type}.json
      
      data_type: medicalBook, medicalGuideline, medicalPaper, medicalWeb(from online forum), medicalWiki
      
      language: en(English), zh(chinese), es(spanish), fr(french), hi(Hindi)
      
      data_type: qa(generated qa from text)
      
      data_type==text: list of string
      [ "string1", "string2", ... ]
      
      data_type==qa: list of qa pairs(list of string)
      [ [ "q1", "a1", "q2", "a2", ... ], ... ]
  - SFT:
    - json_name: {data_source}_{language}.json
    - data_type: code, general, math, medicalExam, medicalPatient
    - data item: list of qa pairs(list of string)
      [ [ "q1", "a1", "q2", "a2", ... ], ... ]
Evaluation 🤗 XMedBench
Click to expand
- EN:
  - MedQA-USMLE
  - MedMCQA
  - PubMedQA: Because the results fluctuated too much, they were not used in the paper.
  - MMLU-Medical
    - Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
- ZH:
  - MedQA-MCMLE
  - CMB-single: Not used in the paper
    - Randomly sample 2,000 multiple-choice questions with single answer.
  - CMMLU-Medical
    - Anatomy, Clinical_knowledge, College_medicine, Genetics, Nutrition, Traditional_chinese_medicine, Virology
  - CExam: Not used in the paper
    - Randomly sample 2,000 multiple-choice questions
- ES: Head_qa
- FR: Frenchmedmcqa
- HI: MMLU_HI
  - Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
- AR: MMLU_Ara
  - Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine

Results reproduction

Click to expand

Waiting for Update

Citation

Please use the following citation if you intend to use our dataset for training or evaluation:

@misc{wang2024apollo,
   title={Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People},
   author={Xidong Wang and Nuo Chen and Junyin Chen and Yan Hu and Yidong Wang and Xiangbo Wu and Anningzhe Gao and Xiang Wan and Haizhou Li and Benyou Wang},
   year={2024},
   eprint={2403.03640},
   archivePrefix={arXiv},
   primaryClass={cs.CL}
}

RichardErkhov/FreedomIntelligence_-_Apollo-1.8B-gguf