Qwen3-0.6B
Parameters
600M
Context Length
33K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
29 Apr 2025
Knowledge Cutoff
-
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
32,768 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#144
| Benchmark | Score | Rank |
|---|---|---|
Intelligence Index | 1 | 158 |
Rankings
Overall Rank
#144
Coding Rank
-
About Qwen3-0.6B
Qwen3-0.6B is an ultra-lightweight dense language model by Alibaba Cloud featuring a hybrid reasoning system for adaptive thinking on edge hardware. Trained on 36T tokens, it delivers fast multilingual generation across a 32K context window.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
1,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
Layer Normalization
Activation Function
Swish
Dimensions
Hidden Dimension Size
1,024
Number of Layers
24
FFN Intermediate Size (Dense)
3,072
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
151,936
About Qwen 3
The Alibaba Qwen 3 model family comprises dense and Mixture-of-Experts (MoE) architectures, with parameter counts from 0.6B to 235B. Key innovations include a hybrid reasoning system, offering 'thinking' and 'non-thinking' modes for adaptive processing, and support for extensive context windows, enhancing efficiency and scalability.