Mistral 7B Instruct V0.3 Bnb 8ep GGUF by AlekseyElygin

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Mistral 7B Instruct V0.3 Bnb 8ep GGUF is an open-source language model by AlekseyElygin. Features: 7b LLM, VRAM: 7.7GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Safetensors   Unsloth

Mistral 7B Instruct V0.3 Bnb 8ep 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 V0.3 Bnb 8ep GGUF (AlekseyElygin/mistral-7b-instruct-v0.3-bnb-8ep-GGUF)
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Mistral 7B Instruct V0.3 Bnb 8ep GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was fine-tuned using Unsloth and Huggingface's TRL library, reportedly achieving faster training speeds.
Supported Languages 
en ()
LLM NameMistral 7B Instruct V0.3 Bnb 8ep GGUF
Repository ๐Ÿค—https://huggingface.co/AlekseyElygin/mistral-7b-instruct-v0.3-bnb-8ep-GGUF 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM7.7 GB
Updated2026-03-29
MaintainerAlekseyElygin
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/mistral-7b-instruct-v0.3-bnb-8ep-GGUF.

Rank the Mistral 7B Instruct V0.3 Bnb 8ep 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a