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BioMistral 7B Zephyr Beta SLERP GGUF by BioMistral

 »  All LLMs  »  BioMistral  »  BioMistral 7B Zephyr Beta SLERP GGUF   URL Share it on

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  Arxiv:2402.10373   Autotrain compatible Base model:huggingfaceh4/zephy... Base model:merge:huggingfaceh4... Base model:merge:project44/bio... Base model:project44/biomistra...   Conversational   Endpoints compatible   Ggml   Gguf   Merge   Mergekit   Mistral   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/BioMistral/BioMistral-7B-Zephyr-Beta-SLERP-GGUF 

BioMistral 7B Zephyr Beta SLERP GGUF Benchmarks

LLME Score: 0.14289
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioMistral 7B Zephyr Beta SLERP GGUF (BioMistral/BioMistral-7B-Zephyr-Beta-SLERP-GGUF)
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BioMistral 7B Zephyr Beta SLERP GGUF Parameters and Internals

Model Type 
Language Model, Further Pre-trained, Merge SLERP
Use Cases 
Areas:
Medical domain, Biomedical research
Applications:
Medical question-answering, Research tool
Primary Use Cases:
Biomedical information retrieval, Medical language tasks
Limitations:
Not evaluated for clinical use, Potential bias and risk in medical context
Considerations:
Not suitable for production in medicine
Additional Notes 
Utilize as a research tool, not for clinical decision-making.
Supported Languages 
English (High proficiency)
Training Details 
Data Sources:
PubMed Central Open Access
Methodology:
Model merging via SLERP, Quantization
Context Length:
2048
Hardware Used:
CNRS Jean Zay French HPC
Model Architecture:
Based on Mistral model
Responsible Ai Considerations 
Fairness:
Potential biases not thoroughly assessed.
Mitigation Strategies:
Not using in practice without further testing.
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Consider specific case testing and further training.
LLM NameBioMistral 7B Zephyr Beta SLERP GGUF
Repository 🤗https://huggingface.co/BioMistral/BioMistral-7B-Zephyr-Beta-SLERP-GGUF 
Base Model(s)  Zephyr 7B Beta   Project44/BioMistral-7B-0.1-PubMed-V2   HuggingFaceH4/zephyr-7b-beta   Project44/BioMistral-7B-0.1-PubMed-V2
Model Size7b
Required VRAM2.7 GB
Updated2025-09-14
MaintainerBioMistral
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q2|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the BioMistral 7B Zephyr Beta 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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Release v20241124
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