Qwen35 4B Soyuz Merged vs CyberSecQwen 4B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen35 4B Soyuz Merged | CyberSecQwen 4B | |
|---|---|---|
| Parameters | 4B | 4.0B |
| Context | 262K | 262K |
| Architecture | Qwen3_5ForCausalLM | Qwen3ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.2K | 1.2K |
| Released | Jun 2026 | May 2026 |
VRAM by Quantization: Qwen35 4B Soyuz Merged vs CyberSecQwen 4B
| Quantization | Bits | Qwen35 4B Soyuz Merged VRAM | CyberSecQwen 4B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 8.5 GB | 8.5 GB |
Verdict
Qwen35 4B Soyuz Merged needs less VRAM at BF16 (8.5 GB vs 8.5 GB), so it fits on smaller GPUs. CyberSecQwen 4B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen35 4B Soyuz Merged or CyberSecQwen 4B?
At BF16, Qwen35 4B Soyuz Merged needs 8.5 GB and CyberSecQwen 4B needs 8.5 GB, so Qwen35 4B Soyuz Merged is the lighter option to run locally.
- Which has a longer context window, Qwen35 4B Soyuz Merged or CyberSecQwen 4B?
Qwen35 4B Soyuz Merged supports 262,144 tokens and CyberSecQwen 4B supports 262,144 tokens.
- What is the difference between Qwen35 4B Soyuz Merged and CyberSecQwen 4B?
Qwen35 4B Soyuz Merged is a 4B model from AlexWortega (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.