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MMed Llama 3 8B by Henrychur

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  Arxiv:2402.13963   Autotrain compatible   Conversational   Dataset:henrychur/mmedc   En   Endpoints compatible   Es   Fr   Instruct   Ja   Llama   Medical   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Henrychur/MMed-Llama-3-8B 

MMed Llama 3 8B Benchmarks

LLME Score: 0.20987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MMed Llama 3 8B (Henrychur/MMed-Llama-3-8B)

MMed Llama 3 8B Parameters and Internals

Model Type 
Multilingual, Medical domain
Use Cases 
Areas:
Medical research, Commercial medical applications
Additional Notes 
Further pretraining enhances the model's medical-domain knowledge.
Supported Languages 
en (Proficient), zh (Proficient), ja (Proficient), fr (Proficient), ru (Proficient), es (Proficient)
Training Details 
Data Sources:
MMedC, Multilingual medical corpus
Data Volume:
25.5B tokens
Methodology:
Further pretraining on a comprehensive medical corpus
Context Length:
8192
Input Output 
Input Format:
Supports multilingual text inputs
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Not undergone instruction fine-tuning
Release Notes 
Version:
MMedLM 2
Date:
2024-02-20
Notes:
Enhanced performance with auto-regressive continuous training on MMedC
Version:
MMed-Llama 3
Date:
-
Notes:
Superior performance on MMedBench in various languages
LLM NameMMed Llama 3 8B
Repository 🤗https://huggingface.co/Henrychur/MMed-Llama-3-8B 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-22
MaintainerHenrychur
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Supported Languagesen zh ja fr ru es
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Henrychur/MMed-Llama-3-8B.

Rank the MMed Llama 3 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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