What are the hardware requirements for Qwen3 0.6B Sushi Coder?

Qwen3 0.6B Sushi Coder 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 Sushi Coder and how large is it?

Qwen3 0.6B Sushi Coder is developed by bigatuna, 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 Sushi Coder?

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

Qwen3 0.6B Sushi Coder by bigatuna — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B Sushi Coder
Author: bigatuna

Qwen3 0.6B Sushi Coder is an open-source language model by bigatuna. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.21.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Code Conversational Dataset:microsoft/rstar-coder Dataset:open-r1/codeforces-cot... En Endpoints compatible Grpo Qwen3 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/bigatuna/Qwen3-0.6B-Sushi-Coder

Qwen3 0.6B Sushi Coder Parameters and Internals

LLM Name	Qwen3 0.6B Sushi Coder
Repository 🤗	https://huggingface.co/bigatuna/Qwen3-0.6B-Sushi-Coder
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-02
Maintainer	bigatuna
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Sushi Coder 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 0.6B Sushi Coder

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
E2etext T1edu1 T1	40K / 1.2 GB	995	1
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Qwen3 0.6B Heretic	40K / 1.2 GB	238	0
Qwen3 0.6B NWC	40K / 0.8 GB	234	1
Adtc Agri Sft Qwen3 0.6B	40K / 1.2 GB	619	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Voho Saudi Speak 0.6B	40K / 1.2 GB	249	0
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1

Note: green Score (e.g. "73.2") means that the model is better than bigatuna/Qwen3-0.6B-Sushi-Coder.