What are the hardware requirements for Llama 3.2 3B?

Llama 3.2 3B 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 and how large is it?

Llama 3.2 3B 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?

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

Name: Llama 3.2 3B
Author: meta-llama

Llama 3.2 3B is an open-source language model by meta-llama. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, LLM Explorer Score: 0.3.

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

Llama 3.2 3B Parameters and Internals

Model Type

text generation, text summarization, multilingual

Use Cases

Areas:

commercial, research

Applications:

knowledge retrieval, summarization, writing assistants, query and prompt rewriting

Primary Use Cases:

assistant chat, agentic applications

Limitations:

Use beyond supported languages without compliance with license, Violation of Acceptable Use Policy, Illegal activities

Considerations:

Encourage responsible use.

Additional Notes

Initial release for commercial and research purposes.

Supported Languages

en (English), de (German), fr (French), it (Italian), pt (Portuguese), hi (Hindi), es (Spanish), th (Thai)

Training Details

Data Volume:

9 trillion tokens

Methodology:

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

Context Length:

128000

Training Time:

916k GPU hours

Hardware Used:

H100-80GB GPUs

Model Architecture:

Optimized transformer architecture with autoregressive language model.

Safety Evaluation

Methodologies:

Red teaming, Safety fine-tuning

Findings:

N/A

Risk Categories:

CBRNE

Responsible Ai Considerations

Mitigation Strategies:

System safeguards include Llama Guard, Prompt Guard, and Code Shield.

Input Output

Input Format:

Multilingual Text

Accepted Modalities:

text

Output Format:

Multilingual Text and code

LLM Name	Llama 3.2 3B
Repository 🤗	https://huggingface.co/meta-llama/Llama-3.2-3B
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-06-30
Maintainer	meta-llama
Model Type	llama
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 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

Model	Likes	Downloads	VRAM
Teuta	2	1153	6 GB
Llama 3.2 3B Bnb 4bit	22	11072	2 GB
Llm 3 2 Flux Prompt	15	1008	6 GB
Llama 3.2 3B GGUF	2	178	2 GB
Llama 3.2 3B COT	2	40	6 GB

Best Alternatives to Llama 3.2 3B

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
...anbeige4.1 3B Heretic Bfloat16	256K / 7.9 GB	33	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	15	0
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368

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