OTel-2.0-Decision-26B-A4B-4bit vs Meta-Llama-3.1-70B-Instruct-FP8
Specs, VRAM requirements and download trends — updated 10 November 2026.
farbodtavakkoli · A · Open weights
Params
25.8 B
Context
—
30d
3.2 M
apache-2.0 · commercial OK
RedHatAI · B · Open weights
Params
70.6 B
Context
131,072
30d
142 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | OTel-2.0-Decision-26B-A4B-4bit | Meta-Llama-3.1-70B-Instruct-FP8 |
|---|---|---|
| Parameters | 25.8 B | 70.6 B |
| Architecture | Gemma4ForConditionalGeneration | LlamaForCausalLM |
| Context length | — | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 3,246,291 | 141,993 |
| Downloads all time | 3.2 M | 2.1 M |
| Quantizations on the Hub | GGUF, SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-10-06 | 2024-07-23 |
Download trend
Daily snapshots, last 19 days (23 Oct – 10 Nov)
3.2 M139 K
OTel-2.0-Decision-26B-A4B-4bit
Meta-Llama-3.1-70B-Instruct-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
OTel-2.0-Decision-26B-A4B-4bit · Q4_K_M
22.8 GB / 24 GB
OTel-2.0-Decision-26B-A4B-4bit · fp16
23.3 GB / 24 GB
Meta-Llama-3.1-70B-Instruct-FP8 · fp16 @ 128K ctx
249.8 GB / 24 GB