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Summary Llama3 8B Q4 K M by vincentmireau

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Base model:quantized:vincentmi... Base model:vincentmireau/summa...   Conversational   En   Endpoints compatible   Fp16   Gguf   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/vincentmireau/summary-llama3-8b-Q4_k_m 

Summary Llama3 8B Q4 K M Benchmarks

LLME Score: 0.17895
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Summary Llama3 8B Q4 K M (vincentmireau/summary-llama3-8b-Q4_k_m)

Summary Llama3 8B Q4 K M Parameters and Internals

Model Type 
text-generation-inference, transformers, llama, gguf
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en ()
LLM NameSummary Llama3 8B Q4 K M
Repository 🤗https://huggingface.co/vincentmireau/summary-llama3-8b-Q4_k_m 
Base Model(s)  Summary Llama3 8B F16 Full   vincentmireau/summary-llama3-8b-f16-full
Model Size8b
Required VRAM4.9 GB
Updated2025-06-01
Maintainervincentmireau
Model Typellama
Model Files  16.1 GB   4.9 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typefp16|gguf|q4
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than vincentmireau/summary-llama3-8b-Q4_k_m.

Rank the Summary Llama3 8B 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 v20241227
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