Nemotron Research Reasoning Qwen 1.5B vs Thinkless 1.5B RL DeepScaleR
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Nemotron Research Reasoning Qwen 1.5B | Thinkless 1.5B RL DeepScaleR | |
|---|---|---|
| Parameters | 1.8B | 1.8B |
| Context | 131K | 33K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | CC BY-NC 4.0 | Apache 2.0 |
| Downloads | 3.3K | 2.8K |
| Released | Nov 2025 | Jun 2025 |
VRAM by Quantization: Nemotron Research Reasoning Qwen 1.5B vs Thinkless 1.5B RL DeepScaleR
| Quantization | Bits | Nemotron Research Reasoning Qwen 1.5B VRAM | Thinkless 1.5B RL DeepScaleR VRAM |
|---|---|---|---|
| BF16 | 16.00 | 3.9 GB | 3.9 GB |
Verdict
Nemotron Research Reasoning Qwen 1.5B supports a longer context window (131K tokens). Nemotron Research Reasoning Qwen 1.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Nemotron Research Reasoning Qwen 1.5B or Thinkless 1.5B RL DeepScaleR?
At BF16, Nemotron Research Reasoning Qwen 1.5B needs 3.9 GB and Thinkless 1.5B RL DeepScaleR needs 3.9 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 Thinkless 1.5B RL DeepScaleR?
Nemotron Research Reasoning Qwen 1.5B supports 131,072 tokens and Thinkless 1.5B RL DeepScaleR supports 32,768 tokens.
- What is the difference between Nemotron Research Reasoning Qwen 1.5B and Thinkless 1.5B RL DeepScaleR?
Nemotron Research Reasoning Qwen 1.5B is a 1.8B model from NVIDIA (Qwen family), while Thinkless 1.5B RL DeepScaleR is a 1.8B model from Vinnnf. Compare their VRAM requirements above to see which fits your GPU or Mac.