Qwen-72B vs DeepSeek-R1-Distill-Llama-70B
Specs, VRAM requirements and download trends — updated 5 September 2026.
deepseek-ai · B · Open weights
Params
70.6 B
Context
131,072
30d
189 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen-72B | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| Parameters | 72.3 B | 70.6 B |
| Architecture | QWenLMHeadModel | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | other | mit |
| Commercial use | Unknown | Allowed |
| Languages | 2 | — |
| Downloads 30d | 157,322 | 189,344 |
| Downloads all time | 7.5 M | 5.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-11-26 | 2025-01-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.2 M157 K
Qwen-72B
DeepSeek-R1-Distill-Llama-70B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen-72B · fp16
170.4 GB / 24 GB
DeepSeek-R1-Distill-Llama-70B · fp16 @ 128K ctx
325.0 GB / 24 GB