OTel-2.0-LLM-31B-IT vs DeepSeek-R1-Distill-Qwen-32B
Specs, VRAM requirements and download trends — updated 6 August 2026.
farbodtavakkoli · A
Params
32.1 B
Context
262,144
30d
3.3 M
apache-2.0 · commercial OK
deepseek-ai · B
Params
32.8 B
Context
131,072
30d
793 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | OTel-2.0-LLM-31B-IT | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Parameters | 32.1 B | 32.8 B |
| Architecture | — | Qwen2ForCausalLM |
| Context length | 262,144 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 3,250,998 | 792,975 |
| Downloads all time | 3.3 M | 26.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-07-23 | 2025-01-20 |
Download trend
Daily snapshots, last 7 days (31 Jul – 6 Aug)
3.3 M793 K
OTel-2.0-LLM-31B-IT
DeepSeek-R1-Distill-Qwen-32B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
DeepSeek-R1-Distill-Qwen-32B · fp16 @ 128K ctx
151.2 GB / 24 GB
OTel-2.0-LLM-31B-IT · fp16 @ 256K ctx
225.3 GB / 24 GB