What are the hardware requirements for Llama 3.3 70B Instruct 8bit?

Llama 3.3 70B Instruct 8bit requires approximately 75 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.3 70B Instruct 8bit and how large is it?

Llama 3.3 70B Instruct 8bit 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 Llama 3.3 70B Instruct 8bit?

Llama 3.3 70B Instruct 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.3 70B Instruct 8bit by mlx-community — VRAM 75GB, 128K context

Name: Llama 3.3 70B Instruct 8bit
Author: mlx-community

Llama 3.3 70B Instruct 8bit is an open-source language model by mlx-community. Features: 70b LLM, VRAM: 75GB, Context: 128K, License: llama3.3, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

8-bit 8bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational De En Endpoints compatible Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Quantized Region:us Safetensors Sharded Tensorflow Th

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.3-70B-Instruct-8bit

Llama 3.3 70B Instruct 8bit Parameters and Internals

LLM Name	Llama 3.3 70B Instruct 8bit
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.3-70B-Instruct-8bit
Base Model(s)	meta-llama/Llama-3.3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct
Model Size	70b
Required VRAM	75 GB
Updated	2026-08-07
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
Supported Languages	en fr it pt hi es th de
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
License	llama3.3
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.3 70B Instruct 8bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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