AceMath 1.5B Instruct vs Nemotron Research Reasoning Qwen 1.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AceMath 1.5B Instruct | Nemotron Research Reasoning Qwen 1.5B | |
|---|---|---|
| Parameters | 1.8B | 1.8B |
| Context | 4K | 131K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | CC BY-NC 4.0 | CC BY-NC 4.0 |
| Downloads | 1.4K | 3.3K |
| Released | Jan 2025 | Nov 2025 |
VRAM by Quantization: AceMath 1.5B Instruct vs Nemotron Research Reasoning Qwen 1.5B
| Quantization | Bits | AceMath 1.5B Instruct VRAM | Nemotron Research Reasoning Qwen 1.5B 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, AceMath 1.5B Instruct or Nemotron Research Reasoning Qwen 1.5B?
At BF16, AceMath 1.5B Instruct needs 3.9 GB and Nemotron Research Reasoning Qwen 1.5B needs 3.9 GB, so AceMath 1.5B Instruct is the lighter option to run locally.
- Which has a longer context window, AceMath 1.5B Instruct or Nemotron Research Reasoning Qwen 1.5B?
AceMath 1.5B Instruct supports 4,096 tokens and Nemotron Research Reasoning Qwen 1.5B supports 131,072 tokens.
- What is the difference between AceMath 1.5B Instruct and Nemotron Research Reasoning Qwen 1.5B?
AceMath 1.5B Instruct is a 1.8B model from NVIDIA, 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.