What are the hardware requirements for Qwen3 0.6B Autoround Safetensors?

Qwen3 0.6B Autoround Safetensors requires approximately 0.6 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 Autoround Safetensors and how large is it?

Qwen3 0.6B Autoround Safetensors is developed by simaai, 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 Autoround Safetensors?

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

Qwen3 0.6B Autoround Safetensors by simaai — VRAM 0.6GB, 40K context

Name: Qwen3 0.6B Autoround Safetensors
Author: simaai

Qwen3 0.6B Autoround Safetensors is an open-source language model by simaai. Features: 0.6b LLM, VRAM: 0.6GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Autoround Base model:quantized:qwen/qwen... Base model:qwen/qwen3-0.6b Compressed-tensors Conversational Endpoints compatible Gptq Multilingual Quantized Qwen3 Region:us Safetensors Sima-ai

Model Card on HF 🤗: https://huggingface.co/simaai/Qwen3-0.6B-Autoround-Safetensors

Qwen3 0.6B Autoround Safetensors Parameters and Internals

LLM Name	Qwen3 0.6B Autoround Safetensors
Repository 🤗	https://huggingface.co/simaai/Qwen3-0.6B-Autoround-Safetensors
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	0.6 GB
Updated	2026-10-22
Maintainer	simaai
Model Type	qwen3
Model Files	0.6 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.10.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Autoround Safetensors 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 Autoround Safetensors

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 Tools	40K / 1.2 GB	2679	1
E2etext T1edu1 T1	40K / 1.2 GB	995	1
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Qwen3 0.6B JSON SFT	40K / 1.2 GB	67	1
Cultist Simulator Qwen3 0.6B	40K / 1.2 GB	348	0
Adtc Agri Sft Qwen3 0.6B	40K / 1.2 GB	619	0
Qwen3 0.6B JSON SFT	40K / 1.2 GB	37	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	37	1

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