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JSL Med Mistral 24B V1 by abideen

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Model Card on HF 🤗: https://huggingface.co/abideen/JSL-Med-Mistral-24B-V1 

JSL Med Mistral 24B V1 Benchmarks

LLME Score: 0.24672
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
JSL Med Mistral 24B V1 (abideen/JSL-Med-Mistral-24B-V1)

JSL Med Mistral 24B V1 Parameters and Internals

LLM NameJSL Med Mistral 24B V1
Repository 🤗https://huggingface.co/abideen/JSL-Med-Mistral-24B-V1 
Model Size24b
Required VRAM47.3 GB
Updated2025-02-05
Maintainerabideen
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size131827
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than abideen/JSL-Med-Mistral-24B-V1.

Rank the JSL Med Mistral 24B V1 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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