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

Llama 3.2 3B Instruct requires approximately 6.5 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 and how large is it?

Llama 3.2 3B Instruct 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.

How does Llama 3.2 3B Instruct perform on standard benchmarks?

Llama 3.2 3B Instruct has the following published scores: LMSYS ELO 1166. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3.2 3B Instruct by mlx-community — VRAM 6.5GB, 128K context

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

Llama 3.2 3B Instruct is an open-source language model by mlx-community. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.27, ELO: 1166.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational De Deploy:azure En Endpoints compatible Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Region:us Safetensors Sharded Tensorflow Th

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

Llama 3.2 3B Instruct Benchmarks

LMSys ELO 1166 vs 1272 (so35) -8.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama 3.2 3B Instruct Parameters and Internals

LLM Name	Llama 3.2 3B Instruct
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-08
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	5.4 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en de fr it pt hi es th
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 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

Quantized Models of the Llama 3.2 3B Instruct

Model	Likes	Downloads	VRAM
Llama 3.2 3B Instruct 4bit	47	20959	1 GB
... Summary Llama 3.2 3B Instruct	0	64	6 GB
...ry Agent Llama 3.2 3B Instruct	0	57	6 GB

Best Alternatives to Llama 3.2 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

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