gpt-oss-20b vs Meta-Llama-3.1-70B-Instruct-AWQ-INT4
Specs, VRAM requirements and download trends — updated 6 August 2026.
hugging-quants · B
Params
70.6 B
Context
131,072
30d
220 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gpt-oss-20b | Meta-Llama-3.1-70B-Instruct-AWQ-INT4 |
|---|---|---|
| Parameters | 21.5 B | 70.6 B |
| Architecture | GptOssForCausalLM | LlamaForCausalLM |
| Context length | 131,072 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 8,616,555 | 219,745 |
| Downloads all time | 87.8 M | 4.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-08-04 | 2024-07-19 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.6 M220 K
gpt-oss-20b
Meta-Llama-3.1-70B-Instruct-AWQ-INT4
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gpt-oss-20b · fp16 @ 128K ctx
82.4 GB / 24 GB
Meta-Llama-3.1-70B-Instruct-AWQ-INT4 · fp16 @ 128K ctx
213.6 GB / 24 GB