What are the hardware requirements for Qwen3 4B GGUF?

Qwen3 4B GGUF requires approximately 1.1 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B GGUF and how large is it?

Qwen3 4B GGUF is developed by unsloth, a model with 4b 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 Qwen3 4B GGUF?

Qwen3 4B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B GGUF by unsloth — VRAM 1.1GB, 40K context

Name: Qwen3 4B GGUF
Author: unsloth

Qwen3 4B GGUF is an open-source language model by unsloth. Features: 4b LLM, VRAM: 1.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

Arxiv:2309.00071 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b Conversational En Endpoints compatible Gguf Q2 Quantized Qwen Qwen3 Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-4B-GGUF

Qwen3 4B GGUF Parameters and Internals

LLM Name	Qwen3 4B GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen3-4B-GGUF
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	1.1 GB
Updated	2026-07-03
Maintainer	unsloth
Model Type	qwen3
Model Files	8.1 GB 2.4 GB 2.3 GB 1.7 GB 1.7 GB 2.1 GB 1.9 GB 2.4 GB 2.6 GB 2.5 GB 2.4 GB 2.9 GB 2.8 GB 3.3 GB 4.3 GB 1.1 GB 1.1 GB 1.5 GB 1.3 GB 1.7 GB 1.7 GB 2.1 GB 2.5 GB 2.9 GB 3.7 GB 5.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 4B GGUF 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 Qwen3 4B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 4B Distilled GGUF	256K / 2.5 GB	34085	16
...wen3.8 Max Distillation Detrax	256K / 2.5 GB	1366	1
...wen3 4B Toolcalling Gguf Codex	256K / 4.3 GB	2613	55
...B Toolcall Gguf Llamacpp Codex	256K / 4.3 GB	1304	9
...wen3 4B Thinking 2507 Hermes 3	256K / 8.1 GB	157	2
Qwen3 4B Tcomanr Merge V2.2	256K / 8 GB	28	2
Qwen3 4B Tcomanr Merge V2	256K / 8 GB	5	2
Qwen3 4B 128K GGUF	128K / 1.1 GB	1330	27
MiniAI Quata1 4B	40K / 8.1 GB	27	0
Hmanlab Ai V0.1	40K / 8.1 GB	95	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-4B-GGUF.