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README.md

@@ -1,151 +1,66 @@
 ---
+base_model: FreedomIntelligence/Apollo-7B
+language:
+- en
+library_name: transformers
 license: apache-2.0
+quantized_by: mradermacher
 ---
-# Multilingual Medicine: Model, Dataset, Benchmark, Code
+## About
 
-Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
+<!-- ### quantize_version: 1 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type:  -->
+<!-- ### vocab_type:  -->
+static quants of https://huggingface.co/FreedomIntelligence/Apollo-7B
 
+<!-- provided-files -->
+weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+## Usage
 
-<p align="center">
-   👨🏻‍💻<a href="https://github.com/FreedomIntelligence/Apollo" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a> • 🌐 <a href="https://apollo.llmzoo.com/" target="_blank">Demo</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> • 🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a> 
-   <br>  <a href="./README_zh.md"> 中文 </a> | <a href="./README.md"> English
-</p>
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
 
-![Apollo](assets/apollo_medium_final.png)
+## Provided Quants
 
-## 🌈 Update
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
 
-* **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released.
-* **[2024.02.12]** <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> and  <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>  is published！🎉
-* **[2024.01.23]** Apollo repo is published！🎉
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q2_K.gguf) | Q2_K | 3.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_XS.gguf) | IQ3_XS | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_S.gguf) | IQ3_S | 4.1 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q3_K_S.gguf) | Q3_K_S | 4.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_M.gguf) | IQ3_M | 4.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q3_K_L.gguf) | Q3_K_L | 4.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ4_XS.gguf) | IQ4_XS | 4.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q5_K_S.gguf) | Q5_K_S | 6.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q5_K_M.gguf) | Q5_K_M | 6.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q8_0.gguf) | Q8_0 | 9.2 | fast, best quality |
 
 
-## Results
-  🤗<a href="https://huggingface.co/FreedomIntelligence/Apollo-0.5B" target="_blank">Apollo-0.5B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-1.8B" target="_blank">Apollo-1.8B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-2B" target="_blank">Apollo-2B</a>  • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-6B" target="_blank">Apollo-6B</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-7B" target="_blank">Apollo-7B</a>
-   
-   🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-0.5B-GGUF" target="_blank">Apollo-0.5B-GGUF</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-2B-GGUF" target="_blank">Apollo-2B-GGUF</a>  • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-6B-GGUF" target="_blank">Apollo-6B-GGUF</a> • 🤗 <a href="https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF" target="_blank">Apollo-7B-GGUF</a>
-   
-   
-   ![Apollo](assets/result.png)
-      
-   
-  
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
 
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
 
-## Dataset & Evaluation
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
 
-- Dataset
-  🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a>
-  
-  <details><summary>Click to expand</summary>
+## FAQ / Model Request
 
-    ![Apollo](assets/dataset.png)
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
 
-    - [Zip File](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/blob/main/ApolloCorpus.zip)
-    - [Data category](https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus/tree/main/train)
-       - 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",
-                  ...
-                ],
-                ...
-              ]
-              ```
+## Thanks
 
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
 
-   </details>
-
-
-   
-- Evaluation
-  🤗 <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</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)
-     - HI: [MMLU_HI](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Arabic)
-        - Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
-     - AR: [MMLU_Ara](https://huggingface.co/datasets/FreedomIntelligence/MMLU_Hindi)
-        - Clinical knowledge, Medical genetics, Anatomy, Professional medicine, College biology, College medicine
-
-
-   </details>
-
-
-## Results reproduction
-   <details><summary>Click to expand</summary>
-   
-   **Waiting for Update**
-      
-
-   
-   </details>
-
-
-
-
-##  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}
-}
-```
+<!-- end -->