What are the hardware requirements for Qwen2 0.5B GGUF?

Qwen2 0.5B GGUF requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 0.5B GGUF and how large is it?

Qwen2 0.5B GGUF is developed by AlekseyElygin, 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 0.5B GGUF?

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

Qwen2 0.5B GGUF by AlekseyElygin — VRAM 0.4GB

Name: Qwen2 0.5B GGUF
Author: AlekseyElygin

Qwen2 0.5B GGUF is an open-source language model by AlekseyElygin. Features: 0.5b LLM, VRAM: 0.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Conversational En Endpoints compatible Gguf Quantized Qwen2 Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/Qwen2-0.5B-GGUF

Qwen2 0.5B GGUF Parameters and Internals

Model Type

text-generation-inference, transformers, gguf

Training Details

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Qwen2 0.5B GGUF
Repository 🤗	https://huggingface.co/AlekseyElygin/Qwen2-0.5B-GGUF
Base Model(s)	unsloth/qwen2-0.5b-bnb-4bit unsloth/qwen2-0.5b-bnb-4bit
Model Size	0.5b
Required VRAM	0.4 GB
Updated	2026-09-15
Maintainer	AlekseyElygin
Model Type	qwen2
Model Files	1.0 GB 0.4 GB 0.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Qwen2 0.5B 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 Qwen2 0.5B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Fncl GGUF	0K / 1 GB	18	0
...0.5B Instruct Bnb 4bit Q4KM 1E	0K / 0.4 GB	27	0
Qwen Jenna V01 Gguf Q4	0K / 0.4 GB	16	0
Qwen2 0.5B Gguf F16	0K / 1 GB	19	0
Qwen2 0.5B F16	0K / 1 GB	16	0
Qwen2 0.5B Gguf Q4 K M	0K / 0.4 GB	10	0
Qwen2 0.5B Q5 K M	0K / 0.4 GB	10	0
Qwen2 0.5B Q4 K M	0K / 0.4 GB	8	0
Qwen2 0.5B Instruct Sorah GGUF	0K / 0.4 GB	34	0
Qwen2 0.5B Gguf Q5 K M	0K / 0.4 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/Qwen2-0.5B-GGUF.