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Mistral RealworldQA V0.2 7B SFT GGUF by InferenceIllusionist

 »  All LLMs  »  InferenceIllusionist  »  Mistral RealworldQA V0.2 7B SFT GGUF   URL Share it on

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  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Dataset:visheratin/realworldqa   En   Endpoints compatible   Gguf   Mistral   Q8   Quantized   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF 

Mistral RealworldQA V0.2 7B SFT GGUF Benchmarks

LLME Score: 0.14661
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral RealworldQA V0.2 7B SFT GGUF (InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF)
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Mistral RealworldQA V0.2 7B SFT GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
Image captioning
Applications:
Concise descriptions with low token counts, suitable for captioning tasks
Primary Use Cases:
Vision Question Answering tasks reducing hallucinations, Image captioning
Limitations:
Cannot replace conversational models, produces dry output
Additional Notes 
Requires an additional mmproj file for full vision functionality.
Supported Languages 
en (Full support)
Training Details 
Data Sources:
visheratin/realworldqa
Methodology:
Fine-tuning for image captioning to reduce hallucinations in VQA tasks.
Model Architecture:
Mistral-7b-02 base model with TRL library from Huggingface and Unsloth for 2x faster training.
Input Output 
Input Format:
Use Alpaca for best results
Accepted Modalities:
text
Output Format:
Generates less verbose output with fewer hallucinations
Performance Tips:
Use mmproj file for optimal functionality in vision tasks.
Release Notes 
Version:
v0.1
Notes:
Initial Release
Version:
v0.2
Notes:
Updating base model to official Mistral-7b fp16 release, refinements to dataset and instruction formatting.
LLM NameMistral RealworldQA V0.2 7B SFT GGUF
Repository 🤗https://huggingface.co/InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF 
Base Model(s)  unsloth/mistral-7b-v0.2-bnb-4bit   unsloth/mistral-7b-v0.2-bnb-4bit
Model Size7b
Required VRAM7.7 GB
Updated2025-10-19
MaintainerInferenceIllusionist
Model Typemistral
Model Files  7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q8|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/Mistral-RealworldQA-v0.2-7b-SFT-GGUF.

Rank the Mistral RealworldQA V0.2 7B SFT 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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