DeepSeek-R1-0528-Qwen3-8B vs Meta-Llama-3.1-8B-Instruct
Specs, VRAM requirements and download trends — updated 6 August 2026.
deepseek-ai · A · Open weights
Params
8.2 B
Context
131,072
30d
390 K
mit · commercial OK
NousResearch · B · Open weights
Params
8.0 B
Context
131,072
30d
131 K
llama3.1 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | DeepSeek-R1-0528-Qwen3-8B | Meta-Llama-3.1-8B-Instruct |
|---|---|---|
| Parameters | 8.2 B | 8.0 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 131,072 | 131,072 |
| Licence | mit | llama3.1 |
| Commercial use | Allowed | Conditional |
| Languages | — | 8 |
| Downloads 30d | 389,929 | 131,302 |
| Downloads all time | 8.6 M | 4.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-05-29 | 2024-07-24 |
Download trend
Daily snapshots, last 90 days (14 Aug – 11 Nov)
1.3 M131 K
DeepSeek-R1-0528-Qwen3-8B
Meta-Llama-3.1-8B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Meta-Llama-3.1-8B-Instruct · fp16 @ 128K ctx
37.4 GB / 24 GB
DeepSeek-R1-0528-Qwen3-8B · fp16 @ 128K ctx
38.2 GB / 24 GB