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Mixtral BioMedical by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  Mixtral BioMedical   URL Share it on

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  Autotrain compatible   Biology   Chemistry   Code   En   Endpoints compatible   Medical   Mistral   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_BioMedical 

Mixtral BioMedical Benchmarks

ARC: 65.44 vs 96.7 (so35)-32.3%
HellaSwag: 85.2 vs 95.3 (gpt4)-10.6%
MMLU: 63.17 vs 88.3 (so35)-28.5%
TruthfulQA: 62.24 vs 59 (gpt4)5.5%
WinoGrande: 79.72 vs 87.5 (gpt4)-8.9%
GSM8K: 51.1 vs 96.4 (so35)-47%
LLME Score: 0.18688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral BioMedical (LeroyDyer/Mixtral_BioMedical)

Mixtral BioMedical Parameters and Internals

LLM NameMixtral BioMedical
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_BioMedical 
Model Size7b
Required VRAM14.5 GB
Updated2025-01-29
MaintainerLeroyDyer
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.8 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   1.0 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_BioMedical.

Rank the Mixtral BioMedical 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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Release v20241227
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