What are the hardware requirements for Qwen3 4B Dense NoThink 30K?

Qwen3 4B Dense NoThink 30K 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 Dense NoThink 30K and how large is it?

Qwen3 4B Dense NoThink 30K is developed by ShourenWSR, 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 Dense NoThink 30K?

Qwen3 4B Dense NoThink 30K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Dense NoThink 30K by ShourenWSR — VRAM 8.1GB, 32K context

Name: Qwen3 4B Dense NoThink 30K
Author: ShourenWSR

Qwen3 4B Dense NoThink 30K is an open-source language model by ShourenWSR. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, LLM Explorer Score: 0.27.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ShourenWSR/Qwen3-4B-Dense-NoThink-30k

Qwen3 4B Dense NoThink 30K Benchmarks

LLME Score: 0.27127

^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)

Qwen3 4B Dense NoThink 30K (ShourenWSR/Qwen3-4B-Dense-NoThink-30k)

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Qwen3 4B Dense NoThink 30K Parameters and Internals

LLM Name	Qwen3 4B Dense NoThink 30K
Repository 🤗	https://huggingface.co/ShourenWSR/Qwen3-4B-Dense-NoThink-30k
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-05-29
Maintainer	ShourenWSR
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Best Alternatives to Qwen3 4B Dense NoThink 30K

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	6381504	853
GRPO 4 70	256K / 8.1 GB	5	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	589858	591
Lightning 4B	256K / 8.1 GB	13	6
AgentCPM Explore	256K / 8.9 GB	1290	415
OpenSonnet Lite MAX	256K / 8 GB	334	30
Jan V1 4B	256K / 8.1 GB	108354	353
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	803780	75
OpenSonnet Lite	256K / 8.1 GB	345	24
CyberSecQwen 4B	256K / 8 GB	783	11

Note: green Score (e.g. "73.2") means that the model is better than ShourenWSR/Qwen3-4B-Dense-NoThink-30k.

Rank the Qwen3 4B Dense NoThink 30K 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 Dense NoThink 30K by ShourenWSR

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Qwen3 4B Dense NoThink 30K Benchmarks

Qwen3 4B Dense NoThink 30K Parameters and Internals

Best Alternatives to Qwen3 4B Dense NoThink 30K

Rank the Qwen3 4B Dense NoThink 30K Capabilities

What open-source LLMs or SLMs are you in search of? 54089 in total.