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Attribute
🤖 Qwen3-0.6B
Company
Release Date 2025-04-29
Parameters (B) 0.6
Architecture Dense Transformer (GQA)
Context Window 32768
Input Modalities text
Open Source Yes
License apache-2.0
Score 7.2
VRAM (GB) 2
Compute Runs on CPU or any modern GPU with ≥2 GB VRAM at FP16 (≈1.3 GB weights at 4K context); Q4_K_M quantization needs ~0.5 GB weights and fits integrated or low-end GPUs. Full 32K context adds ~3.8 GB KV cache (~6 GB total).
Benchmark: GSM8K 59.6
Benchmark: HumanEval 31
Benchmark: MMLU 52.8
Pricing (Input)
Pricing (Output)