Qwen2.5-1.5B-Instruct vs DeepSeek-R1-Distill-Qwen-1.5B
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
1.5 B
Context
32,768
30d
5.0 M
apache-2.0 · commercial OK
deepseek-ai · B · Open weights
Params
1.8 B
Context
131,072
30d
600 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-1.5B-Instruct | DeepSeek-R1-Distill-Qwen-1.5B |
|---|---|---|
| Parameters | 1.5 B | 1.8 B |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 5,017,129 | 599,995 |
| Downloads all time | 227.9 M | 22.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.1 M398 K
Qwen2.5-1.5B-Instruct
DeepSeek-R1-Distill-Qwen-1.5B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-Instruct · fp16
4.1 GB / 24 GB
DeepSeek-R1-Distill-Qwen-1.5B · fp16 @ 128K ctx
8.7 GB / 24 GB