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Mistral 7B AWQ 4bit by kaitchup

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  4-bit   4bit   Autotrain compatible   Awq   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/kaitchup/Mistral-7B-awq-4bit 

Mistral 7B AWQ 4bit Benchmarks

LLME Score: 0.12204
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B AWQ 4bit (kaitchup/Mistral-7B-awq-4bit)
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Mistral 7B AWQ 4bit Parameters and Internals

Model Type 
Language Model, Text Generation
Additional Notes 
The model has been quantized using AutoAWQ into a 4-bit representation.
LLM NameMistral 7B AWQ 4bit
Repository 🤗https://huggingface.co/kaitchup/Mistral-7B-awq-4bit 
Model Size7b
Required VRAM4.2 GB
Updated2025-09-15
Maintainerkaitchup
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than kaitchup/Mistral-7B-awq-4bit.

Rank the Mistral 7B AWQ 4bit 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 v20241124
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