What are the hardware requirements for Qwen3 4B Noss?

Qwen3 4B Noss 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 Noss and how large is it?

Qwen3 4B Noss is developed by beyoru, 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 Noss?

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

Qwen3 4B Noss by beyoru — VRAM 8.1GB, 32K context

Name: Qwen3 4B Noss
Author: beyoru

Qwen3 4B Noss is an open-source language model by beyoru. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.2.

Autotrain compatible Base model:beyoru/qwen3-4b-nos... Base model:finetune:beyoru/qwe... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/beyoru/Qwen3-4B-noss

Qwen3 4B Noss Parameters and Internals

LLM Name	Qwen3 4B Noss
Repository 🤗	https://huggingface.co/beyoru/Qwen3-4B-noss
Base Model(s)	Qwen3 4B Noss beyoru/Qwen3-4B-noss
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-09-06
Maintainer	beyoru
Model Type	qwen3
Model Files	2.5 GB: 1-of-4 2.5 GB: 2-of-4 2.5 GB: 3-of-4 0.6 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 4B Noss 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 Qwen3 4B Noss

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	5	0
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

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