Qwen3-8B vs Meta-Llama-3.1-8B-Instruct-FP8
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · B
Params
8.0 B
Context
131,072
30d
479 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-8B | Meta-Llama-3.1-8B-Instruct-FP8 |
|---|---|---|
| Parameters | 8.2 B | 8.0 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 16,272,885 | 479,171 |
| Downloads all time | 103.2 M | 6.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2024-07-23 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
16.6 M465 K
Qwen3-8B
Meta-Llama-3.1-8B-Instruct-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-8B · fp16
19.7 GB / 24 GB
Meta-Llama-3.1-8B-Instruct-FP8 · fp16 @ 128K ctx
29.8 GB / 24 GB