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Llama 3 13B Instruct V0.1 GGUF by MaziyarPanahi

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Llama 3 13B Instruct V0.1 GGUF is an open-source language model by MaziyarPanahi. Features: 13b LLM, VRAM: 5.1GB, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit Base model:maziyarpanahi/llama... Base model:quantized:maziyarpa...   Conversational   Gguf   Instruct   Mistral   Mixtral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF 

Llama 3 13B Instruct V0.1 GGUF Benchmarks

LLME Score: 0.1373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 13B Instruct V0.1 GGUF (MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF)
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Llama 3 13B Instruct V0.1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is quantized in GGUF format for more efficient inference.
Input Output 
Performance Tips:
You MUST follow the prompt template provided by Llama-3.
LLM NameLlama 3 13B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF 
Model NameLlama-3-13B-Instruct-v0.1-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/Llama-3-13B-Instruct-v0.1   MaziyarPanahi/Llama-3-13B-Instruct-v0.1
Model Size13b
Required VRAM5.1 GB
Updated2026-04-07
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  5.1 GB   7.1 GB   6.5 GB   5.9 GB   8.1 GB   7.7 GB   9.4 GB   9.2 GB   10.9 GB   14.1 GB   26.5 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-3-13B-Instruct-v0.1-GGUF.

Rank the Llama 3 13B Instruct V0.1 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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