CyberSecQwen 4B vs Qwen3 30B A3B Thinking 2507

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

CyberSecQwen 4B

lablab-ai-amd-developer-hackathon · 4.0B

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Qwen3 30B A3B Thinking 2507

Alibaba · 30.5B

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Specifications

CyberSecQwen 4BQwen3 30B A3B Thinking 2507
Parameters4.0B30.5B
Context262K262K
ArchitectureQwen3ForCausalLMQwen3MoeForCausalLM
LicenseApache 2.0Apache 2.0
Downloads1.2K124.4K
ReleasedMay 2026

VRAM by Quantization: CyberSecQwen 4B vs Qwen3 30B A3B Thinking 2507

QuantizationBitsCyberSecQwen 4B VRAMQwen3 30B A3B Thinking 2507 VRAM
Q2_K3.4013.4 GB
Q3_K_M3.9015.3 GB
Q3_K_S3.5013.8 GB
Q4_04.0015.7 GB
Q4_K_M4.8018.7 GB
Q5_K_M5.7022.1 GB
Q6_K6.6025.6 GB
Q8_08.0030.9 GB

Verdict

Qwen3 30B A3B Thinking 2507 is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, CyberSecQwen 4B or Qwen3 30B A3B Thinking 2507?

CyberSecQwen 4B supports 262,144 tokens and Qwen3 30B A3B Thinking 2507 supports 262,144 tokens.

What is the difference between CyberSecQwen 4B and Qwen3 30B A3B Thinking 2507?

CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family), while Qwen3 30B A3B Thinking 2507 is a 30.5B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.