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 meta-llama, 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?

Llama 3.2 3B Instruct 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 by meta-llama — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Instruct
Rating: 1 (1 reviews)
Author: meta-llama

Llama 3.2 3B Instruct is an open-source language model by meta-llama. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.38.

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

Llama 3.2 3B Instruct Parameters and Internals

Model Type

text-generation

Use Cases

Applications:

multilingual dialogue, knowledge retrieval, summarization, AI powered writing assistants, query and prompt rewriting

Limitations:

Use in any manner that violates applicable laws or regulations

Supported Languages

English (officially supported), German (officially supported), French (officially supported), Italian (officially supported), Portuguese (officially supported), Hindi (officially supported), Spanish (officially supported), Thai (officially supported)

Training Details

Data Sources:

publicly available online data

Data Volume:

up to 9 trillion tokens

Methodology:

Supervised Fine-Tuning (SFT), Rejection Sampling (RS), and Direct Preference Optimization (DPO)

Context Length:

128000

Hardware Used:

H100-80GB GPUs (TDP of 700W)

Model Architecture:

Auto-regressive transformer with Grouped-Query Attention (GQA)

Input Output

Accepted Modalities:

Multilingual Text

Output Format:

Multilingual Text and code

LLM Name	Llama 3.2 3B Instruct
Repository 🤗	https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-27
Maintainer	meta-llama
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 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
KielMind Pro	1	46	2 GB
...2 3B Instruct Unsloth Bnb 4bit	10	74156	2 GB
Gladiator Mini Exp 1211 3B	0	15	6 GB
Orca Mini V9 0 3B Instruct	5	11	6 GB
...ator Mini Exp 1222 3B Instruct	0	12	6 GB
...r Mini Exp 1221 3B Instruct V2	0	9	6 GB
...ator Mini Exp 1221 3B Instruct	0	16	6 GB
Llama 3.2 3B Instruct GGUF	15	82038	0 GB
Komodo Llama 3.2 3B V2 Fp16	6	16	6 GB
Llama 3.2 MEDIT 3B O1	13	81	7 GB

Best Alternatives to Llama 3.2 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
...ama 3.2 3B TechWriter Instruct	128K / 6.4 GB	226	0
HyLo Llama 6MLA22GDN 8K SFT	128K / 17.1 GB	42	1
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
... 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