OTel-2.0-LLM-31B-IT vs DeepSeek-R1-Distill-Llama-70B
Specs, VRAM requirements and download trends — updated 5 September 2026.
farbodtavakkoli · A
Params
31.3 B
Context
262,144
30d
6.6 M
apache-2.0 · commercial OK
deepseek-ai · B
Params
70.6 B
Context
131,072
30d
189 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | OTel-2.0-LLM-31B-IT | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| Parameters | 31.3 B | 70.6 B |
| Architecture | Gemma4ForConditionalGeneration | LlamaForCausalLM |
| Context length | 262,144 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 6,581,143 | 189,344 |
| Downloads all time | 13.5 M | 5.8 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 53 days (31 Jul – 21 Sep)
7.6 M189 K
OTel-2.0-LLM-31B-IT
DeepSeek-R1-Distill-Llama-70B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
OTel-2.0-LLM-31B-IT · fp16 @ 256K ctx
290.0 GB / 24 GB
DeepSeek-R1-Distill-Llama-70B · fp16 @ 128K ctx
325.0 GB / 24 GB