What are the hardware requirements for Meta Llama 3 70B Instruct 4bit?

Meta Llama 3 70B Instruct 4bit requires approximately 39.7 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 70B Instruct 4bit and how large is it?

Meta Llama 3 70B Instruct 4bit is developed by mlx-community, a model with 70b 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 70B Instruct 4bit?

Meta Llama 3 70B Instruct 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 70B Instruct 4bit by mlx-community — VRAM 39.7GB, 8K context

Name: Meta Llama 3 70B Instruct 4bit
Author: mlx-community

Meta Llama 3 70B Instruct 4bit is an open-source language model by mlx-community. Features: 70b LLM, VRAM: 39.7GB, Context: 8K, 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-3-70B-Instruct-4bit

Meta Llama 3 70B Instruct 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

Model converted to MLX format using mlx-lm version 0.10.0.

LLM Name	Meta Llama 3 70B Instruct 4bit
Repository 🤗	https://huggingface.co/mlx-community/Meta-Llama-3-70B-Instruct-4bit
Base Model(s)	Meta Llama 3 120B Instruct mlabonne/Meta-Llama-3-120B-Instruct
Model Size	70b
Required VRAM	39.7 GB
Updated	2026-07-26
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-8 5.3 GB: 2-of-8 5.3 GB: 3-of-8 5.3 GB: 4-of-8 5.3 GB: 5-of-8 5.3 GB: 6-of-8 5.3 GB: 7-of-8 2.6 GB: 8-of-8
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 70B Instruct 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 70B Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2
...0B Instruct Gradient 262K 2bit	256K / 21.9 GB	20	1
... Gradient 262K 2.25bpw H6 EXL2	256K / 22.2 GB	8	0
...t Gradient 262K 4.0bpw H6 EXL2	256K / 37.2 GB	7	1
...t Gradient 262K 2.4bpw H6 EXL2	256K / 23.5 GB	6	0
...t Gradient 262K 3.5bpw H6 EXL2	256K / 32.9 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Meta-Llama-3-70B-Instruct-4bit.