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

Meta Llama 3 8B Instruct 8bit requires approximately 9 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Meta Llama 3 8B Instruct 8bit 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.

How does Meta Llama 3 8B Instruct 8bit perform on standard benchmarks?

Meta Llama 3 8B Instruct 8bit has the following published scores: MMLU 64.8. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 8B Instruct 8bit by mlx-community — VRAM 9GB, 8K context

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

Meta Llama 3 8B Instruct 8bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 9GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.13, Arc: 59.9, HellaSwag: 80, MMLU: 64.8, GSM8K: 65.7.

8bit 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-8bit

Meta Llama 3 8B Instruct 8bit Parameters and Internals

Model Type

text generation

LLM Name	Meta Llama 3 8B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-8bit
Base Model(s)	...eta Llama 3 8B Instruct FP8 KV neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV
Model Size	8b
Required VRAM	9 GB
Updated	2026-08-07
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 3.7 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B Instruct 8bit 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 8bit

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-8bit.