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Meditron 7B Chat GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:malhajar/meditron-7... Base model:quantized:malhajar/...   Dataset:yahma/alpaca-cleaned   En   Gptq   Llama   Medicine   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/meditron-7B-chat-GPTQ 

Meditron 7B Chat GPTQ Benchmarks

LLME Score: 0.12553
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meditron 7B Chat GPTQ (TheBloke/meditron-7B-chat-GPTQ)
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Meditron 7B Chat GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
Meditron 7B Chat is a fine-tuned version of the epfl-llm/meditron-7b model using SFT Training on the Alpaca Dataset, specifically adapted for providing information on medical topics.
Supported Languages 
English (High proficiency)
Training Details 
Data Sources:
yahma/alpaca-cleaned
Input Output 
Input Format:
### Instruction: {prompt} ### Response:
Accepted Modalities:
text
LLM NameMeditron 7B Chat GPTQ
Repository 🤗https://huggingface.co/TheBloke/meditron-7B-chat-GPTQ 
Model NameMeditron 7B Chat
Model CreatorMohamad Alhajar
Base Model(s)  Meditron 7B Chat   malhajar/meditron-7b-chat
Model Size7b
Required VRAM3.9 GB
Updated2025-09-20
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32017
Torch Data Typebfloat16

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

Rank the Meditron 7B Chat GPTQ 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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Release v20241124
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