What are the hardware requirements for Qwen3 0.6B Base?

Qwen3 0.6B Base requires approximately 1.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3 0.6B Base is developed by Qwen, 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 Base?

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

Qwen3 0.6B Base by Qwen — VRAM 1.2GB, 32K context

Name: Qwen3 0.6B Base
Author: Qwen

Qwen3 0.6B Base is an open-source language model by Qwen. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.3.

Arxiv:2505.09388 Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-0.6B-Base

Qwen3 0.6B Base Benchmarks

LLME Score: 0.30077

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Qwen3 0.6B Base Parameters and Internals

LLM Name	Qwen3 0.6B Base
Repository 🤗	https://huggingface.co/Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-20
Maintainer	Qwen
Model Type	qwen3
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Qwen3 0.6B Base

Model	Likes	Downloads	VRAM
... Math L45 Qlora Merged Fp16 V2	0	6	1 GB
...en3 0.6B Base Unsloth Bnb 4bit	4	1972	0 GB
Qwen3 0.6B MLX 4bit	22	741	0 GB
Qwen3 0.6B MLX 8bit	5	520	0 GB
Qwen3 0.6B MLX 6bit	6	75	0 GB

Best Alternatives to Qwen3 0.6B Base

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2678032	376
Privasis Cleaner 0.6B	40K / 1.2 GB	863	17
Qwen3 0.6B FP8	40K / 1.1 GB	2079903	62
GLM 5.1 Qwen3 0.6B CoNDeNse	40K / 1.5 GB	445	2
Qwen 0.6B ConvFill	40K / 1.2 GB	116	0
Qwen3 0.6B	40K / 1.2 GB	197172	20
Palindrome Sft Qwen3	40K / 2.4 GB	141	0
Foggen	40K / 1.2 GB	35	5
Palindrome Sft V2 Qwen3	40K / 2.4 GB	81	0
Qwen3 0.6B Cybertown SFT	40K / 1.2 GB	16	0

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

Rank the Qwen3 0.6B Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Qwen3 0.6B Base by Qwen