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Meta Llama 3 8B Instruct GGUF by MaziyarPanahi

By MaziyarPanahi · 96368 downloads
HF Repo ↗ Copy URL

Meta Llama 3 8B Instruct GGUF is an open-source language model by MaziyarPanahi. Features: 8b LLM, VRAM: 2GB, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  16-bit   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   En   Facebook   Gguf   Instruct   Llama   Llama-3   Meta   Mistral   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF 

Meta Llama 3 8B Instruct GGUF Parameters and Internals

Model Type 
text-generation, instruction-tuned
Use Cases 
Areas:
Research, Commercial applications
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Instruction tuned models for dialogue, Pretrained models for various tasks
Limitations:
Use in languages other than English, Any manner violating laws or regulations
Considerations:
Fine-tuning allowed for languages beyond English under compliance
Additional Notes 
Pretraining data cutoff March 2023 for 8B, December 2023 for 70B.
Supported Languages 
English (High)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
Supervised fine-tuning (SFT), Reinforcement Learning with Human Feedback (RLHF)
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, H100-80GB GPUs
Model Architecture:
Auto-regressive language model, optimized transformer architecture
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations
Findings:
Fewer false refusals compared to Llama 2
Risk Categories:
CBRNE threats, Cyber Security risks, Child Safety risks
Ethical Considerations:
Residual risks remain, developers should assess them for specific use cases
Responsible Ai Considerations 
Transparency:
Open approach to AI, encourage community engagement
Mitigation Strategies:
Updated Responsible Use Guide, use of Meta Llama Guard 2 and Code Shield
Input Output 
Input Format:
Text
Output Format:
Text, Code
Performance Tips:
Follow prompt template provided by Llama-3
LLM NameMeta Llama 3 8B Instruct GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF 
Model NameMeta-Llama-3-8B-Instruct-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM2 GB
Updated2026-08-02
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.2 GB   2.0 GB   2.6 GB   3.5 GB   4.5 GB   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
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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