Distil Qwen3 0.6B Text2sql vs CyberSecQwen 4B

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

Distil Qwen3 0.6B Text2sql

distil-labs · 596M

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CyberSecQwen 4B

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

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Specifications

Distil Qwen3 0.6B Text2sqlCyberSecQwen 4B
Parameters596M4.0B
Context41K262K
ArchitectureQwen3ForCausalLMQwen3ForCausalLM
LicenseApache 2.0Apache 2.0
Downloads1731.2K
ReleasedJan 2026May 2026

VRAM by Quantization: Distil Qwen3 0.6B Text2sql vs CyberSecQwen 4B

QuantizationBitsDistil Qwen3 0.6B Text2sql VRAMCyberSecQwen 4B VRAM
Q2_K3.400.7 GB
Q3_K_M3.900.7 GB
Q3_K_S3.500.7 GB
Q4_04.000.7 GB
Q4_K_M4.800.8 GB
Q5_K_M5.700.8 GB
Q6_K6.600.9 GB
Q8_08.001.0 GB

Verdict

CyberSecQwen 4B supports a longer context window (262K tokens). CyberSecQwen 4B is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, Distil Qwen3 0.6B Text2sql or CyberSecQwen 4B?

Distil Qwen3 0.6B Text2sql supports 40,960 tokens and CyberSecQwen 4B supports 262,144 tokens.

What is the difference between Distil Qwen3 0.6B Text2sql and CyberSecQwen 4B?

Distil Qwen3 0.6B Text2sql is a 596M model from distil-labs (Qwen family), while CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.