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Gguf Unsloth Vistralnq42 Q4 K M by quyennt

 »  All LLMs  »  quyennt  »  Gguf Unsloth Vistralnq42 Q4 K M   URL Share it on

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Base model:quantized:viet-mist... Base model:viet-mistral/vistra...   Conversational   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/quyennt/gguf_unsloth_vistralnq42_q4_k_m 

Gguf Unsloth Vistralnq42 Q4 K M Benchmarks

LLME Score: 0.15411
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gguf Unsloth Vistralnq42 Q4 K M (quyennt/gguf_unsloth_vistralnq42_q4_k_m)
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Gguf Unsloth Vistralnq42 Q4 K M Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Training Details 
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameGguf Unsloth Vistralnq42 Q4 K M
Repository 🤗https://huggingface.co/quyennt/gguf_unsloth_vistralnq42_q4_k_m 
Base Model(s)  Viet-Mistral/Vistral-7B-Chat   Viet-Mistral/Vistral-7B-Chat
Model Size7b
Required VRAM4.4 GB
Updated2025-07-21
Maintainerquyennt
Model Typemistral
Model Files  4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than quyennt/gguf_unsloth_vistralnq42_q4_k_m.

Rank the Gguf Unsloth Vistralnq42 Q4 K M 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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