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Meditron 7B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Meditron 7B GGUF   URL Share it on

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  Arxiv:2311.16079 Base model:epfl-llm/meditron-7... Base model:quantized:epfl-llm/...   Dataset:epfl-llm/guidelines   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/meditron-7B-GGUF 

Meditron 7B GGUF Benchmarks

LLME Score: 0.14015
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meditron 7B GGUF (TheBloke/meditron-7B-GGUF)
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Meditron 7B GGUF Parameters and Internals

Model Type 
Causal decoder-only transformer language model
Use Cases 
Primary Use Cases:
Medical exam question answering, Supporting differential diagnosis, Disease information query, General health information query
Limitations:
Not recommended for natural language generation in a production environment
Considerations:
Proper evaluation and testing for use-case alignment are recommended before deployment.
Additional Notes 
Quantization methods like GGUF format allow the model to be supported by multiple third-party UIs and libraries.
Supported Languages 
en (English)
Training Details 
Data Sources:
Clinical Guidelines, Medical Paper Abstracts, Medical Papers, Replay Data
Data Volume:
48.1B tokens
Methodology:
Domain-adaptive pretraining with a focus on the medical domain.
Context Length:
2048
Hardware Used:
1 node of 8x NVIDIA A100 (80GB) SXM GPUs
Model Architecture:
Matches Llama 2 architecture.
Input Output 
Input Format:
Text-only data
Accepted Modalities:
Text
Output Format:
Generates text only
Performance Tips:
Use a high throughput and memory-efficient inference engine, such as vLLM, for optimal performance.
Release Notes 
Version:
v1.0
Date:
September 2023
Notes:
Release focused on enhancing model's performance in the medical domain.
LLM NameMeditron 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/meditron-7B-GGUF 
Model NameMeditron 7B
Model CreatorEPFL LLM Team
Base Model(s)  Meditron 7B   epfl-llm/meditron-7b
Model Size7b
Required VRAM2.8 GB
Updated2025-09-20
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/meditron-7B-GGUF.

Rank the Meditron 7B GGUF 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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