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BioMistral 7B SLERP GGUF by MaziyarPanahi

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  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   Dataset:pubmed   De   En   Endpoints compatible   Es   Fr   Gguf   Has space   Instruct   It   Medical   Merge   Mergekit   Mistral   Nl   Pl   Quantized   Region:us   Safetensors   Slerp
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/BioMistral-7B-SLERP-GGUF 

BioMistral 7B SLERP GGUF Benchmarks

LLME Score: 0.16976
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioMistral 7B SLERP GGUF (MaziyarPanahi/BioMistral-7B-SLERP-GGUF)

BioMistral 7B SLERP GGUF Parameters and Internals

Model Type 
quantized, text-generation
Use Cases 
Areas:
text-generation, medical, biology, conversational
Additional Notes 
Quantized by MaziyarPanahi with support for multiple quantization bits (2, 3, 4, 5, 6, 8) and GGUF format.
Supported Languages 
French (high), English (high), Spanish (high), Italian (high), Polish (intermediate), Dutch (intermediate), German (intermediate)
Training Details 
Data Sources:
pubmed
Methodology:
mergekit, merge, slerp
LLM NameBioMistral 7B SLERP GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/BioMistral-7B-SLERP-GGUF 
Model NameBioMistral-7B-SLERP-GGUF
Model CreatorBioMistral
Base Model(s)  BioMistral 7B SLERP   BioMistral/BioMistral-7B-SLERP
Model Size7b
Required VRAM2.7 GB
Updated2025-02-23
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-SLERP-GGUF.

Rank the BioMistral 7B SLERP 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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