Mistral 7B Instruct 32K GPTQ INT8 by Moses25

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Mistral 7B Instruct 32K GPTQ INT8 is an open-source language model by Moses25. Features: 7b LLM, VRAM: 7.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  8-bit   8bit   Endpoints compatible   Gptq   Instruct   Mistral   Quantized   Region:us

Mistral 7B Instruct 32K GPTQ INT8 Benchmarks

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 32K GPTQ INT8 Parameters and Internals

Model Type 
Mistral, Llama
Input Output 
Input Format:
JSON list of conversations
Accepted Modalities:
text
Output Format:
String
LLM NameMistral 7B Instruct 32K GPTQ INT8
Repository 🤗https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8 
Model Size7b
Required VRAM7.7 GB
Updated2026-04-12
MaintainerMoses25
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8.

Rank the Mistral 7B Instruct 32K GPTQ INT8 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 v20260328a