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YBXL_-_Med-LLaMA3-8B-gguf
RichardErkhov/YBXL_-_Med-LLaMA3-8B-gguf
YBXL_-_Med-LLaMA3-8B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf108 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- 21d60dac
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Med-LLaMA3-8B - GGUF
- Model creator: https://huggingface.co/YBXL/
- Original model: https://huggingface.co/YBXL/Med-LLaMA3-8B/
| Name | Quant method | Size |
|---|---|---|
| Med-LLaMA3-8B.Q2_K.gguf | Q2_K | 2.96GB |
| Med-LLaMA3-8B.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| Med-LLaMA3-8B.IQ3_S.gguf | IQ3_S | 3.43GB |
| Med-LLaMA3-8B.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| Med-LLaMA3-8B.IQ3_M.gguf | IQ3_M | 3.52GB |
| Med-LLaMA3-8B.Q3_K.gguf | Q3_K | 3.74GB |
| Med-LLaMA3-8B.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| Med-LLaMA3-8B.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| Med-LLaMA3-8B.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| Med-LLaMA3-8B.Q4_0.gguf | Q4_0 | 4.34GB |
| Med-LLaMA3-8B.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| Med-LLaMA3-8B.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| Med-LLaMA3-8B.Q4_K.gguf | Q4_K | 4.58GB |
| Med-LLaMA3-8B.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| Med-LLaMA3-8B.Q4_1.gguf | Q4_1 | 4.78GB |
| Med-LLaMA3-8B.Q5_0.gguf | Q5_0 | 5.21GB |
| Med-LLaMA3-8B.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| Med-LLaMA3-8B.Q5_K.gguf | Q5_K | 5.34GB |
| Med-LLaMA3-8B.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| Med-LLaMA3-8B.Q5_1.gguf | Q5_1 | 5.65GB |
| Med-LLaMA3-8B.Q6_K.gguf | Q6_K | 6.14GB |
| Med-LLaMA3-8B.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers tags: []
Model Card for Med-LLaMA3-8B
<!-- Provide a quick summary of what the model is/does. -->Model Details
Model Description
Med-LLaMA3-8B is an 8-billion parameter medical language model that has undergone continual pre-training on LLaMA3-8B architecture using large-scale open-sourced medical data.
Training Details
Med-LLaMA3-8B is trained on a large-scale dataset comprising: medical books, medical literature, clinical guidelines and a small portion of general domain data It is a study extension based on our previous Me-LLaMA paper: https://arxiv.org/pdf/2402.12749
If you use the model, please cite the following papers:
<pre> @misc{xie2024llama, title={Me LLaMA: Foundation Large Language Models for Medical Applications}, author={Qianqian Xie and Qingyu Chen and Aokun Chen and Cheng Peng and Yan Hu and Fongci Lin and Xueqing Peng and Jimin Huang and Jeffrey Zhang and Vipina Keloth and Huan He and Lucila Ohno-Machido and Yonghui Wu and Hua Xu and Jiang Bian}, year={2024}, eprint={2402.12749}, archivePrefix={arXiv}, primaryClass={cs.CL} } </pre>- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024