LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Meditron 7B GGUF by TheBloke

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

  694   
  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: 0.16122
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)

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
Updated2025-02-22
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

Best Alternatives to Meditron 7B GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Pixel8K / 4.4 GB170
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB145894479
Qwen2 7B Instruct GGUF0K / 1.9 GB103427911
WizardLM 2 7B GGUF0K / 2.7 GB132146676
Conversely Mistral 7B0K / 0.2 GB2820
Deepthink Reasoning 7B GGUF0K / 4.7 GB134111
CleverBoi 7B V20K / 0.1 GB3230
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB704629
Neumind Math 7B Instruct GGUF0K / 4.7 GB2749
QwQ LCoT 7B Instruct GGUF0K / 4.7 GB1879
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/meditron-7B-GGUF.

Rank the Meditron 7B GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 43508 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer