OTel-2.0-LLM-31B-IT vs Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Specs, VRAM requirements and download trends — updated 27 August 2026.
farbodtavakkoli · A · Open weights
Params
31.3 B
Context
262,144
30d
212 K
apache-2.0 · commercial OK
hugging-quants · B · Open weights
Params
70.6 B
Context
131,072
30d
140 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | OTel-2.0-LLM-31B-IT | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 |
|---|---|---|
| Parameters | 31.3 B | 70.6 B |
| Architecture | Gemma4ForConditionalGeneration | LlamaForCausalLM |
| Context length | 262,144 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 212,019 | 140,116 |
| Downloads all time | 13.5 M | 5.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-07-23 | 2024-07-19 |
Download trend
Daily snapshots, last 87 days (31 Jul – 25 Oct)
7.6 M140 K
OTel-2.0-LLM-31B-IT
Meta-Llama-3.1-70B-Instruct-AWQ-INT4
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Meta-Llama-3.1-70B-Instruct-AWQ-INT4 · fp16 @ 128K ctx
213.6 GB / 24 GB
OTel-2.0-LLM-31B-IT · fp16 @ 256K ctx
290.0 GB / 24 GB