Mixtral BioMedical 7B by LeroyDyer

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  Arxiv:2203.05482   Autotrain compatible   Endpoints compatible   Gguf   Merge   Mergekit   Mistral   Pytorch   Quantized   Region:us

Mixtral BioMedical 7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral BioMedical 7B (LeroyDyer/Mixtral_BioMedical_7b)

Mixtral BioMedical 7B Parameters and Internals

Additional Notes 
This model was created through merging using the Mergekit tool.
Training Details 
Methodology:
Model merged using the linear merge method.
LLM NameMixtral BioMedical 7b
Repository ๐Ÿค—https://huggingface.co/LeroyDyer/Mixtral_BioMedical_7b 
Base Model(s)  Nitral-AI/ProdigyXBioMistral_7B   LeroyDyer/Mixtral_AI   Nitral-AI/ProdigyXBioMistral_7B   LeroyDyer/Mixtral_AI
Model Size7b
Required VRAM7.7 GB
Updated2024-12-27
MaintainerLeroyDyer
Model Typemistral
Model Files  7.7 GB   14.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_BioMedical_7b.

Rank the Mixtral BioMedical 7B 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