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USK Mistral 7B Unsloth GGUF by Haary

 »  All LLMs  »  Haary  »  USK Mistral 7B Unsloth GGUF   URL Share it on

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Base model:ichsan2895/merak-7b... Base model:quantized:ichsan289...   Conversational   Dataset:haary/qa usk dataset   En   Endpoints compatible   Gguf   Id   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/Haary/USK_Mistral_7B_Unsloth_GGUF 

USK Mistral 7B Unsloth GGUF Benchmarks

LLME Score: 0.197
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
USK Mistral 7B Unsloth GGUF (Haary/USK_Mistral_7B_Unsloth_GGUF)

USK Mistral 7B Unsloth GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Supported Languages 
primary (en), secondary (id)
Training Details 
Data Sources:
Haary/QA_USK_dataset
Methodology:
Utilized Unsloth and Huggingface's TRL library for faster training
Model Architecture:
Mistral architecture
LLM NameUSK Mistral 7B Unsloth GGUF
Repository 🤗https://huggingface.co/Haary/USK_Mistral_7B_Unsloth_GGUF 
Base Model(s)  Merak 7B V4   Ichsan2895/Merak-7B-v4
Model Size7b
Required VRAM4.4 GB
Updated2025-02-22
MaintainerHaary
Model Typemistral
Model Files  14.5 GB   4.4 GB   5.1 GB
Supported Languagesen id
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than Haary/USK_Mistral_7B_Unsloth_GGUF.

Rank the USK Mistral 7B Unsloth 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 v20241227
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