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

Qwen3 0.6B JSON 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 JSON SFT and how large is it?

Qwen3 0.6B JSON SFT is developed by NotoriousH2, 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 JSON SFT?

Qwen3 0.6B JSON 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 JSON SFT by NotoriousH2 — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B JSON SFT
Author: NotoriousH2

Qwen3 0.6B JSON SFT is an open-source language model by NotoriousH2. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, LLM Explorer Score: 0.29.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Conversational Ko Qwen3 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/NotoriousH2/Qwen3-0.6B-JSON-SFT

Qwen3 0.6B JSON SFT Parameters and Internals

LLM Name	Qwen3 0.6B JSON SFT
Repository 🤗	https://huggingface.co/NotoriousH2/Qwen3-0.6B-JSON-SFT
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-09-05
Maintainer	NotoriousH2
Model Type	qwen3
Model Files	1.2 GB 0.0 GB
Supported Languages	ko
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B JSON 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 JSON SFT

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Meridian Ac Nano	40K / 1.2 GB	493	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	88	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
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 NotoriousH2/Qwen3-0.6B-JSON-SFT.