What are the hardware requirements for Qwen3 0.6B Acot?

Qwen3 0.6B Acot 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 Acot and how large is it?

Qwen3 0.6B Acot is developed by Ash2749, 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 Acot?

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

Qwen3 0.6B Acot by Ash2749 — VRAM 1.2GB, 40K context

Name: Qwen3 0.6B Acot
Author: Ash2749

Qwen3 0.6B Acot is an open-source language model by Ash2749. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

4bit Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Ash2749/Qwen3_0.6B_acot

Qwen3 0.6B Acot Parameters and Internals

LLM Name	Qwen3 0.6B Acot
Repository 🤗	https://huggingface.co/Ash2749/Qwen3_0.6B_acot
Base Model(s)	unsloth/qwen3-0.6b-unsloth-bnb-4bit unsloth/qwen3-0.6b-unsloth-bnb-4bit
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-09-03
Maintainer	Ash2749
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 0.6B Acot 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 Acot

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Qwen3 0.6B SFTchat Math	40K / 1.2 GB	15	0
Meet7 0.6B	40K / 1.2 GB	10	1
...d Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	24	1
Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than Ash2749/Qwen3_0.6B_acot.