CyberSecQwen 4B vs Nemotron Research Reasoning Qwen 1.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| CyberSecQwen 4B | Nemotron Research Reasoning Qwen 1.5B | |
|---|---|---|
| Parameters | 4.0B | 1.8B |
| Context | 262K | 131K |
| Architecture | Qwen3ForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | CC BY-NC 4.0 |
| Downloads | 1.2K | 3.3K |
| Released | May 2026 | Nov 2025 |
VRAM by Quantization: CyberSecQwen 4B vs Nemotron Research Reasoning Qwen 1.5B
| Quantization | Bits | CyberSecQwen 4B VRAM | Nemotron Research Reasoning Qwen 1.5B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 8.5 GB | 3.9 GB |
Verdict
Nemotron Research Reasoning Qwen 1.5B needs less VRAM at BF16 (3.9 GB vs 8.5 GB), so it fits on smaller GPUs. CyberSecQwen 4B supports a longer context window (262K tokens). Nemotron Research Reasoning Qwen 1.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, CyberSecQwen 4B or Nemotron Research Reasoning Qwen 1.5B?
At BF16, CyberSecQwen 4B needs 8.5 GB and Nemotron Research Reasoning Qwen 1.5B needs 3.9 GB, so Nemotron Research Reasoning Qwen 1.5B is the lighter option to run locally.
- Which has a longer context window, CyberSecQwen 4B or Nemotron Research Reasoning Qwen 1.5B?
CyberSecQwen 4B supports 262,144 tokens and Nemotron Research Reasoning Qwen 1.5B supports 131,072 tokens.
- What is the difference between CyberSecQwen 4B and Nemotron Research Reasoning Qwen 1.5B?
CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family), while Nemotron Research Reasoning Qwen 1.5B is a 1.8B model from NVIDIA (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.