Mistral 7B Instruct V0.2 GGUF by alokabhishek

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Mistral 7B Instruct V0.2 GGUF is an open-source language model by alokabhishek. Features: 7b LLM, VRAM: 4.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24, ELO: 1072, Arc: 56.7, HellaSwag: 80.8, MMLU: 59.1, GSM8K: 37.6.

  4bit   Conversational   Endpoints compatible   Gguf   Instruct   Mistral   Mistral-7b   Pytorch   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.2 GGUF 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 V0.2 GGUF (alokabhishek/Mistral-7B-Instruct-v0.2-GGUF)

Mistral 7B Instruct V0.2 GGUF Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
text-generation
LLM NameMistral 7B Instruct V0.2 GGUF
Repository 🤗https://huggingface.co/alokabhishek/Mistral-7B-Instruct-v0.2-GGUF 
Base Model(s)  malhajar/Mistral-7B-Instruct-v0.2-turkish   malhajar/Mistral-7B-Instruct-v0.2-turkish
Model Size7b
Required VRAM4.4 GB
Updated2026-07-20
Maintaineralokabhishek
Model Typemistral
Instruction-BasedYes
Model Files  4.4 GB   5.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than alokabhishek/Mistral-7B-Instruct-v0.2-GGUF.

Rank the Mistral 7B Instruct V0.2 GGUF 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