What are the hardware requirements for Qwen2.5 0.5B Bnb 4bit?

Qwen2.5 0.5B Bnb 4bit requires approximately 0.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 0.5B Bnb 4bit and how large is it?

Qwen2.5 0.5B Bnb 4bit is developed by unsloth, a model with 0.5b 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 Qwen2.5 0.5B Bnb 4bit?

Qwen2.5 0.5B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 0.5B Bnb 4bit by unsloth — VRAM 0.5GB, 32K context

Name: Qwen2.5 0.5B Bnb 4bit
Author: unsloth

Qwen2.5 0.5B Bnb 4bit is an open-source language model by unsloth. Features: 0.5b LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16.

Arxiv:2407.10671 4-bit 4bit Ara Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-0.5b Bitsandbytes Deu Endpoints compatible Eng Fra Ita Jpn Kor Por Quantized Qwen2 Region:us Rus Safetensors Spa Tha Unsloth Vie Zho

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-0.5B-bnb-4bit

Qwen2.5 0.5B Bnb 4bit Parameters and Internals

LLM Name	Qwen2.5 0.5B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-0.5B-bnb-4bit
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	0.5 GB
Updated	2026-08-05
Maintainer	unsloth
Model Type	qwen2
Model Files	0.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 0.5B 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 Qwen2.5 0.5B Bnb 4bit

Model	Likes	Downloads	VRAM
...5 0.5B Pgabl Legal Sft Dzakwan	0	340	1 GB

Best Alternatives to Qwen2.5 0.5B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Finetune Exp 2	128K / 1 GB	16	0
Qwen2 0.5B 20240829 175401	128K / 1 GB	8	0
Qwen2 0.5B Bnb 4bit	128K / 0.5 GB	1123	3
Qwen2 0.5B Alpaca Merged St	128K / 1 GB	6	0
Qwen2 0.5B Assamese V0.2.1	128K / 1 GB	12	0
Qwen2 0.5B Assamese V0.2.2	128K / 1 GB	7	0
Ymail Search Qwen2 0.5B 16bit	128K / 1 GB	16	0
Ymail Search Qwen2 0.5B 4bit	128K / 0.5 GB	9	0
....O.S.I.E.v4o 0.5B Stage1 Beta1	128K / 1 GB	11	1
....O.S.I.E.v4o 0.5B Stage1 Beta1	128K / 1 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-0.5B-bnb-4bit.