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

Llama 3.2 3B Instruct GGUF requires approximately 0.9 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 GGUF and how large is it?

Llama 3.2 3B Instruct GGUF is developed by unsloth, 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 GGUF?

Llama 3.2 3B Instruct GGUF 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 GGUF by unsloth — VRAM 0.9GB, 128K context

Name: Llama 3.2 3B Instruct GGUF
Author: unsloth

Llama 3.2 3B Instruct GGUF is an open-source language model by unsloth. Features: 3b LLM, VRAM: 0.9GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational En Endpoints compatible Facebook Gguf Instruct Llama Llama-3 Meta Q2 Quantized Region:us Unsloth

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

Llama 3.2 3B Instruct GGUF Parameters and Internals

LLM Name	Llama 3.2 3B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-GGUF
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	0.9 GB
Updated	2026-08-06
Maintainer	unsloth
Model Type	llama
Instruction-Based	Yes
Model Files	6.4 GB 6.4 GB 1.9 GB 1.8 GB 1.4 GB 1.4 GB 1.7 GB 1.5 GB 1.9 GB 2.1 GB 2.0 GB 1.9 GB 2.3 GB 2.3 GB 2.6 GB 3.4 GB 1.0 GB 0.9 GB 1.3 GB 1.1 GB 1.4 GB 1.4 GB 1.7 GB 2.1 GB 2.3 GB 3.0 GB 4.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 3B Instruct GGUF 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

Best Alternatives to Llama 3.2 3B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
KielMind Lite	128K / 2 GB	1712	1
KielMind Pro	128K / 2 GB	46	1
Gunny	128K / 6.5 GB	25	0
Llama 3.2 MEDIT 3B O1	128K / 7.2 GB	81	13
ReWiz Llama 3.2 3B	128K / 6.5 GB	341	3
Teuta	128K / 6.5 GB	1153	2
Leyes Ecuador 20250825 200051	128K / 6.5 GB	35	0
Automotive 20250816 105217	128K / 6.5 GB	44	0
Llama 3.2 3B COT	128K / 6.5 GB	40	2
Llama3 Finetuned Id 16bit	128K / 6.5 GB	652	0

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