What are the hardware requirements for Llama 3.2 1B Bnb 4bit?

Llama 3.2 1B Bnb 4bit requires approximately 1 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 Bnb 4bit and how large is it?

Llama 3.2 1B Bnb 4bit is developed by unsloth, 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 Bnb 4bit?

Llama 3.2 1B Bnb 4bit 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 Bnb 4bit by unsloth — VRAM 1GB, 128K context

Name: Llama 3.2 1B Bnb 4bit
Author: unsloth

Llama 3.2 1B Bnb 4bit is an open-source language model by unsloth. Features: 1b LLM, VRAM: 1GB, Context: 128K, License: llama3.2, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Bitsandbytes Deploy:azure En Endpoints compatible Facebook Llama Llama-3 Meta Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.2-1B-bnb-4bit

Llama 3.2 1B Bnb 4bit Parameters and Internals

Model Type

text generating

Additional Notes

The model is optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

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

Methodology:

Uses supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).

Model Architecture:

Llama 3.2 is an auto-regressive language model that uses an optimized transformer architecture.

LLM Name	Llama 3.2 1B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Llama-3.2-1B-bnb-4bit
Base Model(s)	meta-llama/Llama-3.2-1B meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	1 GB
Updated	2026-08-04
Maintainer	unsloth
Model Type	llama
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Bnb 4bit 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 Bnb 4bit

Model	Likes	Downloads	VRAM
...lytical Reasoning Llama 3.2 1B	0	12	4 GB

Best Alternatives to Llama 3.2 1B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...1B Agentic Tooluse Merged FP16	128K / 2.2 GB	2361	6
MiniCPM5 1B OptiQ 4bit	128K / 0.9 GB	4608	9
... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
Fraud Sentinel 1B	128K / 0.7 GB	145	1
Llama 3.2 1B Legal Indo	128K / 2.5 GB	223	0
MiniCPM5 1B 8bit	128K / 1.1 GB	1983	3
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
...Agentic Tooluse V3 Merged FP16	128K / 2.2 GB	226	2
AeroCart Support Bot SFT	128K / 2.5 GB	241	1
Humanizer 1B OptiQ 4bit	128K / 0.9 GB	235	5

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Llama-3.2-1B-bnb-4bit.