What are the hardware requirements for Meta Llama 3 8B Instruct 64K 4bit?

Meta Llama 3 8B Instruct 64K 4bit requires approximately 75 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 8B Instruct 64K 4bit and how large is it?

Meta Llama 3 8B Instruct 64K 4bit is developed by mlx-community, 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 Meta Llama 3 8B Instruct 64K 4bit?

Meta Llama 3 8B Instruct 64K 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Instruct 64K 4bit by mlx-community — VRAM 75GB, 64K context

Name: Meta Llama 3 8B Instruct 64K 4bit
Author: mlx-community

Meta Llama 3 8B Instruct 64K 4bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 75GB, Context: 64K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4bit Conversational En Facebook Instruct Llama Llama-3 Meta Mlx Pytorch Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit

Meta Llama 3 8B Instruct 64K 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

This model was converted to MLX format from `NurtureAI/Meta-Llama-3-8B-Instruct-64k` using mlx-lm version 0.11.0.

LLM Name	Meta Llama 3 8B Instruct 64K 4bit
Repository 🤗	https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit
Base Model(s)	...a Llama 3 8B Instruct 64K PoSE Azma-AI/Meta-Llama-3-8B-Instruct-64k-PoSE
Model Size	8b
Required VRAM	75 GB
Updated	2026-07-26
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.2 GB: 1-of-15 5.2 GB: 2-of-15 5.4 GB: 3-of-15 5.1 GB: 4-of-15 5.2 GB: 5-of-15 5.2 GB: 6-of-15 5.4 GB: 7-of-15 5.1 GB: 8-of-15 5.2 GB: 9-of-15 5.2 GB: 10-of-15 5.4 GB: 11-of-15 5.1 GB: 12-of-15 5.2 GB: 13-of-15 5.2 GB: 14-of-15 1.9 GB: 15-of-15 4.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	65536
Model Max Length	65536
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B Instruct 64K 4bit 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

Best Alternatives to Meta Llama 3 8B Instruct 64K 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit.