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

Qwen2.5 0.5B Instruct Unsloth 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 Instruct Unsloth Bnb 4bit and how large is it?

Qwen2.5 0.5B Instruct Unsloth 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 Instruct Unsloth Bnb 4bit?

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

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

Qwen2.5 0.5B Instruct Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 0.5b LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2407.10671 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-0.5b-i... Bitsandbytes Conversational Deploy:azure En Endpoints compatible Instruct Quantized Qwen Qwen2 Region:us Safetensors Unsloth

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

Qwen2.5 0.5B Instruct Unsloth Bnb 4bit Parameters and Internals

LLM Name	Qwen2.5 0.5B Instruct Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct-unsloth-bnb-4bit
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	0.5 GB
Updated	2026-08-24
Maintainer	unsloth
Model Type	qwen2
Instruction-Based	Yes
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 Instruct Unsloth Bnb 4bit capabilities

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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 Qwen2.5 0.5B Instruct Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Pgabl Ft Nama Siswa	32K / 1 GB	253	0
Legal Rag Qwen Sft	32K / 1 GB	204	0
Atomight V2.2 UltraThink 0.5B	32K / 1 GB	54	1
...mmanuel Siagian Exp1 Lr2e5 R16	32K / 1 GB	11	0
BoyBarley Sparky	32K / 1 GB	18	0
Qwen2.5 0.5B Instruct 4bit	32K / 0.3 GB	15769	7
Qwen2.5 0.5B Instruct Bnb 4bit	32K / 0.5 GB	14598	4
...5 Coder 0.5B Instruct Bnb 4bit	32K / 0.5 GB	6612	4
TinySphinx	32K / 1 GB	34	0
... Instruct Unsloth Merged 16bit	32K / 1.3 GB	25	2

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