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Mistral 7B Instruct Sa V0.1 by sci-m-wang

 »  All LLMs  »  sci-m-wang  »  Mistral 7B Instruct Sa V0.1   URL Share it on

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Finetuned   Generated from trainer   Instruct   Llama-factory   Lora   Peft   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/sci-m-wang/Mistral-7B-Instruct-sa-v0.1 

Mistral 7B Instruct Sa V0.1 Benchmarks

MMLU Pro: 15.13
GPQA: 1.23
MUSR: 6.68
BBH: 5.74
IFEval: 43.35 vs 88 (so35)-50.7%
MATH Lvl 5: 1.06
LLME Score: 0.22388
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct Sa V0.1 (sci-m-wang/Mistral-7B-Instruct-sa-v0.1)

Mistral 7B Instruct Sa V0.1 Parameters and Internals

LLM NameMistral 7B Instruct Sa V0.1
Repository 🤗https://huggingface.co/sci-m-wang/Mistral-7B-Instruct-sa-v0.1 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM0 GB
Updated2025-01-17
Maintainersci-m-wang
Instruction-BasedYes
Model Files  0.0 GB   0.0 GB
Model ArchitectureAdapter
Licenseother
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than sci-m-wang/Mistral-7B-Instruct-sa-v0.1.

Rank the Mistral 7B Instruct Sa V0.1 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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