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Llama 3 8B Instruct 64K GGUF by MaziyarPanahi

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Llama 3 8B Instruct 64K GGUF is an open-source language model by MaziyarPanahi. Features: 8b LLM, VRAM: 3.2GB, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit Base model:maziyarpanahi/llama... Base model:quantized:maziyarpa...   Conversational   Gguf   Instruct   Llama   Llama-3   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF 

Llama 3 8B Instruct 64K GGUF Benchmarks

LLME Score: 0.20233
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct 64K GGUF (MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF)
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Llama 3 8B Instruct 64K GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is available in GGUF format, a replacement for GGML, introduced by the llama.cpp team.
LLM NameLlama 3 8B Instruct 64K GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF 
Model NameLlama-3-8B-Instruct-64k-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  Llama 3 8B Instruct 64K   MaziyarPanahi/Llama-3-8B-Instruct-64k
Model Size8b
Required VRAM3.2 GB
Updated2026-04-17
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  3.2 GB   4.3 GB   4.0 GB   3.7 GB   4.9 GB   4.7 GB   5.7 GB   5.6 GB   6.6 GB   8.5 GB   16.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF.

Rank the Llama 3 8B Instruct 64K 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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