Nemotron Research Reasoning Qwen 1.5B vs Qwen1.5 1.8B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Nemotron Research Reasoning Qwen 1.5B | Qwen1.5 1.8B | |
|---|---|---|
| Parameters | 1.8B | 1.8B |
| Context | 131K | 33K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | CC BY-NC 4.0 | Other |
| Downloads | 3.3K | 21.5K |
| Released | Nov 2025 | Apr 2024 |
VRAM by Quantization: Nemotron Research Reasoning Qwen 1.5B vs Qwen1.5 1.8B
| Quantization | Bits | Nemotron Research Reasoning Qwen 1.5B VRAM | Qwen1.5 1.8B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.9 GB | 4.4 GB |
Verdict
Nemotron Research Reasoning Qwen 1.5B needs less VRAM at BF16 (3.9 GB vs 4.4 GB), so it fits on smaller GPUs. Nemotron Research Reasoning Qwen 1.5B supports a longer context window (131K tokens). Qwen1.5 1.8B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Nemotron Research Reasoning Qwen 1.5B or Qwen1.5 1.8B?
At BF16, Nemotron Research Reasoning Qwen 1.5B needs 3.9 GB and Qwen1.5 1.8B needs 4.4 GB, so Nemotron Research Reasoning Qwen 1.5B is the lighter option to run locally.
- Which has a longer context window, Nemotron Research Reasoning Qwen 1.5B or Qwen1.5 1.8B?
Nemotron Research Reasoning Qwen 1.5B supports 131,072 tokens and Qwen1.5 1.8B supports 32,768 tokens.
- What is the difference between Nemotron Research Reasoning Qwen 1.5B and Qwen1.5 1.8B?
Nemotron Research Reasoning Qwen 1.5B is a 1.8B model from NVIDIA (Qwen family), while Qwen1.5 1.8B is a 1.8B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.