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BioMistral 7B DARE GGUF by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  BioMistral 7B DARE GGUF   URL Share it on

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  Arxiv:2306.01708   Arxiv:2311.03099   Arxiv:2402.10373   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:biomistral/biomistr... Base model:biomistral/biomistr... Base model:mistralai/mistral-7... Base model:quantized:biomistra...   Biology   Conversational   Dare   Dataset:pubmed   De   En   Endpoints compatible   Es   Fr   Gguf   Instruct   It   Medical   Merge   Mergekit   Mistral   Nl   Pl   Quantized   Region:us   Ro   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/BioMistral-7B-DARE-GGUF 

BioMistral 7B DARE GGUF Benchmarks

LLME Score: 0.14346
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioMistral 7B DARE GGUF (MaziyarPanahi/BioMistral-7B-DARE-GGUF)
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BioMistral 7B DARE GGUF Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English), fr (French), nl (Dutch), es (Spanish), it (Italian), pl (Polish), ro (Romanian), de (German)
LLM NameBioMistral 7B DARE GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/BioMistral-7B-DARE-GGUF 
Model NameBioMistral-7B-DARE-GGUF
Model CreatorBioMistral
Base Model(s)  BioMistral 7B DARE   BioMistral/BioMistral-7B-DARE
Model Size7b
Required VRAM2.7 GB
Updated2025-08-17
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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

Rank the BioMistral 7B DARE 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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