What are the hardware requirements for Llama 3 8B Instruct 64K GGUF?

Llama 3 8B Instruct 64K GGUF requires approximately 3.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Instruct 64K GGUF and how large is it?

Llama 3 8B Instruct 64K GGUF is developed by MaziyarPanahi, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3 8B Instruct 64K GGUF?

Llama 3 8B Instruct 64K GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Instruct 64K GGUF by MaziyarPanahi — VRAM 3.2GB

Name: Llama 3 8B Instruct 64K GGUF
Author: MaziyarPanahi

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: 0.18.

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 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 Name	Llama 3 8B Instruct 64K GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-64k-GGUF
Model Name	Llama-3-8B-Instruct-64k-GGUF
Model Creator	MaziyarPanahi
Base Model(s)	Llama 3 8B Instruct 64K MaziyarPanahi/Llama-3-8B-Instruct-64k
Model Size	8b
Required VRAM	3.2 GB
Updated	2026-07-27
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
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 Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Llama 3 8B Instruct 64K GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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