What are the hardware requirements for Qwen3 0.6B Sushi Code Expert?

Qwen3 0.6B Sushi Code Expert requires approximately 1.5 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 Code Expert and how large is it?

Qwen3 0.6B Sushi Code Expert is developed by kazako5er, 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 Code Expert?

Qwen3 0.6B Sushi Code Expert 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 Code Expert by kazako5er — VRAM 1.5GB, 40K context

Name: Qwen3 0.6B Sushi Code Expert
Author: kazako5er

Qwen3 0.6B Sushi Code Expert is an open-source language model by kazako5er. Features: 0.6b LLM, VRAM: 1.5GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:bigatuna/qwen3-0.6b... Base model:merge:bigatuna/qwen... Base model:merge:qwen/qwen3-0.... Base model:merge:suayptalha/qw... Base model:qwen/qwen3-0.6b Base model:suayptalha/qwen3-0.... Code Conversational Endpoints compatible Merge Mergekit Qwen Qwen3 Region:us Safetensors Ties

Model Card on HF 🤗: https://huggingface.co/kazako5er/Qwen3-0.6B-Sushi-Code-Expert

Qwen3 0.6B Sushi Code Expert Parameters and Internals

LLM Name	Qwen3 0.6B Sushi Code Expert
Repository 🤗	https://huggingface.co/kazako5er/Qwen3-0.6B-Sushi-Code-Expert
Base Model(s)	suayptalha/Qwen3-0.6B-Code-Expert bigatuna/Qwen3-0.6B-Sushi-Coder Qwen/Qwen3-0.6B suayptalha/Qwen3-0.6B-Code-Expert bigatuna/Qwen3-0.6B-Sushi-Coder Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.5 GB
Updated	2026-08-01
Maintainer	kazako5er
Model Type	qwen3
Model Files	1.5 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.5
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Sushi Code Expert 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 Sushi Code Expert

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 Finetuned	40K / 1.2 GB	98	1
Privasis Cleaner 0.6B	40K / 1.2 GB	73	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	136	2
Palindrome Sft Qwen3	40K / 2.4 GB	141	0

Note: green Score (e.g. "73.2") means that the model is better than kazako5er/Qwen3-0.6B-Sushi-Code-Expert.