What are the hardware requirements for Newstar Qwen3 0.6B?

Newstar Qwen3 0.6B requires a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Newstar Qwen3 0.6B and how large is it?

Newstar Qwen3 0.6B is developed by NewstaR, 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 Newstar Qwen3 0.6B?

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

Newstar Qwen3 0.6B by NewstaR — 32K context

Name: Newstar Qwen3 0.6B
Author: NewstaR

Newstar Qwen3 0.6B is an open-source language model by NewstaR. Features: 0.6b LLM, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2505.09388 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Dataset:marcuscedricridia/itp-... En Newstar Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/NewstaR/Newstar-Qwen3-0.6B

Newstar Qwen3 0.6B Parameters and Internals

LLM Name	Newstar Qwen3 0.6B
Repository 🤗	https://huggingface.co/NewstaR/Newstar-Qwen3-0.6B
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	0 GB
Updated	2026-08-03
Maintainer	NewstaR
Model Type	qwen3
Model Files	2.4 GB 2.1 GB 0.0 GB 0.0 GB 0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Newstar Qwen3 0.6B 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 Newstar Qwen3 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
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
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Quipu 0.6B	40K / 1.2 GB	351	4
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Clary 0.6 0.6B	40K / 1.2 GB	163	1

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