What are the hardware requirements for Llama 3.2 1B?

Llama 3.2 1B requires approximately 2.5 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 1B and how large is it?

Llama 3.2 1B is developed by meta-llama, a model with 1b 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 1B?

Llama 3.2 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B by meta-llama — VRAM 2.5GB, 128K context

Name: Llama 3.2 1B
Author: meta-llama

Llama 3.2 1B is an open-source language model by meta-llama. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, LLM Explorer Score: 0.33.

Arxiv:2204.05149 Arxiv:2405.16406 De En Endpoints compatible Es Eval-results Facebook Fr Hi It Llama Llama-3 Meta Pt Pytorch Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.2-1B

Llama 3.2 1B Parameters and Internals

Model Type

Multilingual, Generative, Instruction-tuned

Use Cases

Areas:

Commercial, Research

Applications:

Agentic retrieval, Summarization tasks, Knowledge retrieval, Prompt rewriting

Primary Use Cases:

Multilingual dialogue and assistant-based tasks

Considerations:

Deployments, including those in additional languages, must adhere to safety guidelines and responsible use principles.

Additional Notes

This is a static model trained on an offline dataset. Future versions may be released that improve model capabilities and safety.

Supported Languages

English (official), German (official), French (official), Italian (official), Portuguese (official), Hindi (official), Spanish (official), Thai (official)

Training Details

Data Sources:

A new mix of publicly available online data

Data Volume:

Up to 9 trillion tokens

Context Length:

128000

Hardware Used:

Meta's custom built GPU cluster

Model Architecture:

Auto-regressive with an optimized transformer architecture

Responsible Ai Considerations

Mitigation Strategies:

Llama 3.2 was developed following best practices outlined in Meta's Responsible Use Guide.

Input Output

Input Format:

Text

Accepted Modalities:

Multilingual Text

Output Format:

Text and code

LLM Name	Llama 3.2 1B
Repository 🤗	https://huggingface.co/meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-07
Maintainer	meta-llama
Model Type	llama
Model Files	2.5 GB
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 1B 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 1B

Model	Likes	Downloads	VRAM
Llama 3.2 1B Unsloth Bnb 4bit	2	5124	1 GB
....2 1B Computer Engineering LLM	0	39	1 GB
Orca Mini V9 5 1B Instruct	4	23	2 GB
... Mini V9 5 1B Instruct Preview	2	14	2 GB
Llama 3.2 1B Bnb 4bit	18	7428	1 GB
Mlx Llama 3.2 1B Q8	0	49	2 GB
...glish Dataset Fine Tuned 29 09	0	30	0 GB

Best Alternatives to Llama 3.2 1B

Best Alternatives	Context / RAM	Downloads	Likes
ISA 02 Nano Llama 3.2 1B	1024K / 2.5 GB	47	3
LWM Text 1M	1024K / 13.5 GB	1149	29
LWM Text Chat 1M	1024K / 13.5 GB	57	173
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
MiniCPM5 1B MegaMerge Final	512K / 2.2 GB	0	1
MiniCPM5 1B	128K / 2.2 GB	354385	868
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166

Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Llama-3.2-1B.