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Meta Llama 3 8B Q4 by spiharsh

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Model Card on HF 🤗: https://huggingface.co/spiharsh/Meta-Llama-3-8B-Q4 

Meta Llama 3 8B Q4 Benchmarks

LLME Score: 0.15779
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Q4 (spiharsh/Meta-Llama-3-8B-Q4)
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Meta Llama 3 8B Q4 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
use in prohibited areas as listed in the Acceptable Use Policy
LLM NameMeta Llama 3 8B Q4
Repository 🤗https://huggingface.co/spiharsh/Meta-Llama-3-8B-Q4 
Base Model(s)  Meta Llama 3 8Bee   BEE-spoke-data/Meta-Llama-3-8Bee
Model Size8b
Required VRAM4.5 GB
Updated2025-07-30
Maintainerspiharsh
Model Typellama
Model Files  4.5 GB
Supported Languagesen
Quantization Typeq4
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Vocabulary Size128256
Torch Data Typebfloat16

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... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB53
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Note: green Score (e.g. "73.2") means that the model is better than spiharsh/Meta-Llama-3-8B-Q4.

Rank the Meta Llama 3 8B Q4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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