DeepSeek R1 Distill Qwen 1.5B vs AceMath 1.5B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 Distill Qwen 1.5B | AceMath 1.5B Instruct | |
|---|---|---|
| Parameters | 1.8B | 1.8B |
| Context | 131K | 4K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | MIT | CC BY-NC 4.0 |
| Downloads | 788.2K | 1.4K |
| Released | Feb 2025 | Jan 2025 |
VRAM by Quantization: DeepSeek R1 Distill Qwen 1.5B vs AceMath 1.5B Instruct
| Quantization | Bits | DeepSeek R1 Distill Qwen 1.5B VRAM | AceMath 1.5B Instruct VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 1.1 GB | — |
| Q3_K_M | 3.90 | 1.2 GB | — |
| Q4_K_M | 4.80 | 1.4 GB | — |
| Q5_K_M | 5.70 | 1.6 GB | — |
| Q6_K | 6.60 | 1.8 GB | — |
| Q8_0 | 8.00 | 2.1 GB | — |
Verdict
DeepSeek R1 Distill Qwen 1.5B supports a longer context window (131K tokens). DeepSeek R1 Distill Qwen 1.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, DeepSeek R1 Distill Qwen 1.5B or AceMath 1.5B Instruct?
DeepSeek R1 Distill Qwen 1.5B supports 131,072 tokens and AceMath 1.5B Instruct supports 4,096 tokens.
- What is the difference between DeepSeek R1 Distill Qwen 1.5B and AceMath 1.5B Instruct?
DeepSeek R1 Distill Qwen 1.5B is a 1.8B model from DeepSeek (Qwen family), while AceMath 1.5B Instruct is a 1.8B model from NVIDIA. Compare their VRAM requirements above to see which fits your GPU or Mac.