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Mistral Mcqa by yassinechaouch

 »  All LLMs  »  yassinechaouch  »  Mistral Mcqa   URL Share it on

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  Merged Model   Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Lora   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/yassinechaouch/Mistral-mcqa 

Mistral Mcqa Benchmarks

LLME Score: 0.19528
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Mcqa (yassinechaouch/Mistral-mcqa)

Mistral Mcqa Parameters and Internals

LLM NameMistral Mcqa
Repository 🤗https://huggingface.co/yassinechaouch/Mistral-mcqa 
Merged ModelYes
Model Size3.9b
Required VRAM4.1 GB
Updated2025-02-22
Maintaineryassinechaouch
Model Typemistral
Model Files  4.1 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than yassinechaouch/Mistral-mcqa.

Rank the Mistral Mcqa 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 v20241227
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