Llama-3.1-8B-Instruct vs Qwen3-4B-Thinking-2507-FP8
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.1-8B-Instruct | Qwen3-4B-Thinking-2507-FP8 |
|---|---|---|
| Parameters | 8.0 B | 4.4 B |
| Architecture | LlamaForCausalLM | Qwen3ForCausalLM |
| Context length | — | 262,144 |
| Licence | llama3.1 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | — |
| Downloads 30d | 8,014,793 | 204,861 |
| Downloads all time | 175.3 M | 2.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2025-08-06 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.0 M204 K
Llama-3.1-8B-Instruct
Qwen3-4B-Thinking-2507-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB
Qwen3-4B-Thinking-2507-FP8 · fp16 @ 256K ctx
27.4 GB / 24 GB