JordiBayarri commited on
Commit
b002e98
1 Parent(s): f79b2aa

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -5
README.md CHANGED
@@ -24,8 +24,8 @@ pipeline_tag: question-answering
24
  ---
25
  <p align="center">
26
  <picture>
27
- <source media="(prefers-color-scheme: dark)" srcset="https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/ymLVs-prfhvlT7RF2NnCW.png">
28
- <img alt="prompt_engine" src="https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/ymLVs-prfhvlT7RF2NnCW.png" width=50%>
29
  </picture>
30
  </p>
31
  <h1 align="center">
@@ -34,11 +34,12 @@ Aloe: A Family of Fine-tuned Open Healthcare LLMs
34
 
35
  ---
36
 
37
- Llama3.1-Aloe-8B-Beta is an **open healthcare LLM** (released with a permissive CC-BY license) achieving **state-of-the-art performance** on several medical tasks. Aloe Beta is made available in two model sizes: [8B](https://huggingface.co/HPAI-BSC/Llama3.1-Aloe-Beta-8B) and [70B](https://huggingface.co/HPAI-BSC/Llama3.1-Aloe-Beta-70B). Both models are trained using the same recipe.
 
38
 
39
  Aloe is trained on 20 medical tasks, resulting in a robust and versatile healthcare model. Evaluations show Aloe models to be among the best in their class. When combined with a RAG system ([also released](https://github.com/HPAI-BSC/prompt_engine)) the 8B version gets close to the performance of closed models like MedPalm-2, GPT4. With the same RAG system, Aloe-Beta-70B outperforms those private alternatives, producing state-of-the-art results.
40
 
41
- # Aloe-8B-Beta
42
 
43
 
44
 
@@ -63,7 +64,7 @@ Complete training details, model merging configurations, and all training data (
63
  - **Developed by:** [HPAI](https://hpai.bsc.es/)
64
  - **Model type:** Causal decoder-only transformer language model
65
  - **Language(s) (NLP):** English (capable but not formally evaluated on other languages)
66
- - **License:** This model is based on Meta Llama 3.1 8B and is governed by the [Meta Llama 3 License](https://www.llama.com/llama3_1/license/). All our modifications are available with a [CC BY 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license, making the Aloe Beta models **compatible with commercial use**.
67
  - **Base model :** [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
68
  - **Paper:** (more coming soon)
69
  - **RAG Repository:** https://github.com/HPAI-BSC/prompt_engine
 
24
  ---
25
  <p align="center">
26
  <picture>
27
+ <source media="(prefers-color-scheme: dark)" srcset="https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/vg1jG1OgqP7yyE0PO-OMT.png">
28
+ <img alt="prompt_engine" src="https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/vg1jG1OgqP7yyE0PO-OMT.png" width=50%>
29
  </picture>
30
  </p>
31
  <h1 align="center">
 
34
 
35
  ---
36
 
37
+
38
+ Llama3.1-Aloe-Beta-8B is an **open healthcare LLM** achieving **state-of-the-art performance** on several medical tasks. Aloe Beta is made available in two model sizes: [8B](https://huggingface.co/HPAI-BSC/Llama3.1-Aloe-Beta-8B) and [70B](https://huggingface.co/HPAI-BSC/Llama3.1-Aloe-Beta-70B). Both models are trained using the same recipe.
39
 
40
  Aloe is trained on 20 medical tasks, resulting in a robust and versatile healthcare model. Evaluations show Aloe models to be among the best in their class. When combined with a RAG system ([also released](https://github.com/HPAI-BSC/prompt_engine)) the 8B version gets close to the performance of closed models like MedPalm-2, GPT4. With the same RAG system, Aloe-Beta-70B outperforms those private alternatives, producing state-of-the-art results.
41
 
42
+ # Aloe-Beta-8B
43
 
44
 
45
 
 
64
  - **Developed by:** [HPAI](https://hpai.bsc.es/)
65
  - **Model type:** Causal decoder-only transformer language model
66
  - **Language(s) (NLP):** English (capable but not formally evaluated on other languages)
67
+ - **License:** This model is based on Meta Llama 3.1 8B and is governed by the [Meta Llama 3 License](https://www.llama.com/llama3_1/license/). All our modifications are available with a [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license, making the Aloe Beta models **compatible with commercial use**.
68
  - **Base model :** [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
69
  - **Paper:** (more coming soon)
70
  - **RAG Repository:** https://github.com/HPAI-BSC/prompt_engine