What are the hardware requirements for Qwen3 0.6B Cybertown SFT?

Qwen3 0.6B Cybertown SFT requires approximately 1.2 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 0.6B Cybertown SFT and how large is it?

Qwen3 0.6B Cybertown SFT is developed by WindyLab, a model with 0.6b 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 0.6B Cybertown SFT?

Qwen3 0.6B Cybertown SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 0.6B Cybertown SFT by WindyLab — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B Cybertown SFT
Author: WindyLab

Qwen3 0.6B Cybertown SFT is an open-source language model by WindyLab. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Cybertown Dataset:windylab/qwen3-0.6b-cy... En Endpoints compatible Qwen3 Region:us Robotics Safetensors Sft Task-planning

Model Card on HF 🤗: https://huggingface.co/WindyLab/Qwen3-0.6B-cybertown-SFT

Qwen3 0.6B Cybertown SFT Parameters and Internals

LLM Name	Qwen3 0.6B Cybertown SFT
Repository 🤗	https://huggingface.co/WindyLab/Qwen3-0.6B-cybertown-SFT
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-05
Maintainer	WindyLab
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Cybertown SFT 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 0.6B Cybertown SFT

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Meridian Ac Nano	40K / 1.2 GB	575	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4

Note: green Score (e.g. "73.2") means that the model is better than WindyLab/Qwen3-0.6B-cybertown-SFT.