CyberSecQwen 4B vs SpatialLM1.1 Qwen 0.5B

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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SpatialLM1.1 Qwen 0.5B

manycore-research · 604M

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Specifications

CyberSecQwen 4BSpatialLM1.1 Qwen 0.5B
Parameters4.0B604M
Context262K33K
ArchitectureQwen3ForCausalLMSpatialLMQwenForCausalLM
LicenseApache 2.0CC BY-NC 4.0
Downloads1.2K3.3K
ReleasedMay 2026Sep 2025

VRAM by Quantization: CyberSecQwen 4B vs SpatialLM1.1 Qwen 0.5B

QuantizationBitsCyberSecQwen 4B VRAMSpatialLM1.1 Qwen 0.5B VRAM
BF1616.008.5 GB1.5 GB

Verdict

SpatialLM1.1 Qwen 0.5B needs less VRAM at BF16 (1.5 GB vs 8.5 GB), so it fits on smaller GPUs. CyberSecQwen 4B supports a longer context window (262K tokens). SpatialLM1.1 Qwen 0.5B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, CyberSecQwen 4B or SpatialLM1.1 Qwen 0.5B?

At BF16, CyberSecQwen 4B needs 8.5 GB and SpatialLM1.1 Qwen 0.5B needs 1.5 GB, so SpatialLM1.1 Qwen 0.5B is the lighter option to run locally.

Which has a longer context window, CyberSecQwen 4B or SpatialLM1.1 Qwen 0.5B?

CyberSecQwen 4B supports 262,144 tokens and SpatialLM1.1 Qwen 0.5B supports 32,768 tokens.

What is the difference between CyberSecQwen 4B and SpatialLM1.1 Qwen 0.5B?

CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family), while SpatialLM1.1 Qwen 0.5B is a 604M model from manycore-research (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.