What are the hardware requirements for Llama 3.2 1B Instruct?

Llama 3.2 1B Instruct 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 Instruct and how large is it?

Llama 3.2 1B Instruct 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 Instruct?

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

Name: Llama 3.2 1B Instruct
Author: meta-llama

Llama 3.2 1B Instruct is an open-source language model by meta-llama. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.36.

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

Llama 3.2 1B Instruct Parameters and Internals

Model Type

text-generation, multilingual

Use Cases

Areas:

Commercial, Research

Applications:

Assistant-like chat, Knowledge retrieval, Summarization, Mobile AI-powered writing assistants, Query and prompt rewriting, Natural language generation tasks

Primary Use Cases:

Multilingual dialogue use cases

Limitations:

Use in any manner that violates applicable laws or regulations

Additional Notes

Llama 3.2 models can be fine-tuned for additional languages beyond the primary 8 supported languages.

Supported Languages

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

Training Details

Data Sources:

A new mix of publicly available online data.

Data Volume:

Up to 9T tokens

Methodology:

Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)

Context Length:

128000

Training Time:

830k GPU hours

Hardware Used:

H100-80GB (TDP of 700W) GPUs

Model Architecture:

Auto-regressive with optimized transformer architecture

Input Output

Input Format:

Multilingual Text

Accepted Modalities:

text

Output Format:

Multilingual Text and code

Release Notes

Version:

3.2

Date:

September 25, 2024

Notes:

Introduced new multilingual capabilities and instruction tuning for agentic and summarization tasks.

LLM Name	Llama 3.2 1B Instruct
Repository 🤗	https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-08-03
Maintainer	meta-llama
Model Type	llama
Instruction-Based	Yes
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 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 1B Instruct

Model	Likes	Downloads	VRAM
Llama 3.2 1B Sarcasm Rewriter	0	12	2 GB
...2 1B Instruct Unsloth Bnb 4bit	4	27547	1 GB
Llama 3.2 1B Instruct Bnb 4bit	22	36333	1 GB
Llama 3.2 1B Instruct GGUF	69	19144	0 GB
Llama Deepsync 1B	3	31	2 GB
...truct Gptqmodel 4bit Vortex V1	2	85	1 GB
Orca Mini V9 1 1B Instruct	3	16	2 GB
Llama SmolTalk 3.2 1B Instruct	3	48	2 GB
OrcaAgent Llama3.2 1B	2	25	2 GB
...ma 3.2 1B Instruct XMADai 4bit	5	7	1 GB

Best Alternatives to Llama 3.2 1B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	259	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0
ShaziLLM 1B	128K / 2.2 GB	186	0

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