What are the hardware requirements for Qwen3 4B Base?

Qwen3 4B Base requires approximately 8.1 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 Qwen3 4B Base and how large is it?

Qwen3 4B Base is developed by Qwen, 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 Base?

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

Qwen3 4B Base by Qwen — VRAM 8.1GB, 32K context

Name: Qwen3 4B Base
Author: Qwen

Qwen3 4B Base is an open-source language model by Qwen. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.31.

Arxiv:2505.09388 Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-4B-Base

Qwen3 4B Base Benchmarks

LLME Score: 0.30712

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Qwen3 4B Base Parameters and Internals

LLM Name	Qwen3 4B Base
Repository 🤗	https://huggingface.co/Qwen/Qwen3-4B-Base
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-04-09
Maintainer	Qwen
Model Type	qwen3
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Qwen3 4B Base

Model	Likes	Downloads	VRAM
Qwen3 4B Base Unsloth Bnb 4bit	3	15734	3 GB

Best Alternatives to Qwen3 4B Base

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	9840924	819
GRPO 4 70	256K / 8.1 GB	20	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	1676918	575
Lightning 4B	256K / 8.1 GB	13	6
QED Nano	256K / 8.1 GB	6816	86
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	715358	73
Jan V1 4B	256K / 8.1 GB	108354	353
Qwen3 4B Thinking 2507 FP8	256K / 5.2 GB	186613	64
...en3.6 Plus Reasoning Distilled	256K / 8.1 GB	1087	3
AgentCPM Explore	256K / 8.9 GB	141	412

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

Rank the Qwen3 4B Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Qwen3 4B Base by Qwen