What are the hardware requirements for Llama 3.2 3B Instruct 4bit?

Llama 3.2 3B Instruct 4bit requires approximately 1.8 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 3.2 3B Instruct 4bit and how large is it?

Llama 3.2 3B Instruct 4bit is developed by mlx-community, a model with 3b 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 3.2 3B Instruct 4bit?

Llama 3.2 3B Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B Instruct 4bit by mlx-community — VRAM 1.8GB, 128K context

Name: Llama 3.2 3B Instruct 4bit
Author: mlx-community

Llama 3.2 3B Instruct 4bit is an open-source language model by mlx-community. Features: 3b LLM, VRAM: 1.8GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

4-bit 4bit Base model:mlx-community/llama... Base model:quantized:mlx-commu... Conversational De En Endpoints compatible Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Quantized Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct-4bit

Llama 3.2 3B Instruct 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

Converted to MLX format

Supported Languages

en (High), de (High), fr (High), it (High), pt (High), hi (High), es (High), th (High)

Input Output

Input Format:

Text-based prompts

Accepted Modalities:

text

Output Format:

Text

LLM Name	Llama 3.2 3B Instruct 4bit
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct-4bit
Base Model(s)	mlx-community/Llama-3.2-3B-Instruct mlx-community/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	1.8 GB
Updated	2026-08-04
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	1.8 GB
Supported Languages	en de fr it pt hi es th
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B 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

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-3B-Instruct-4bit.