Qwen3-14B vs DeepSeek-R1-Distill-Llama-8B
Specs, VRAM requirements and download trends — updated 30 July 2026.
deepseek-ai · B
Params
8.0 B
Context
131,072
30d
215 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-14B | DeepSeek-R1-Distill-Llama-8B |
|---|---|---|
| Parameters | 14.8 B | 8.0 B |
| Architecture | Qwen3ForCausalLM | LlamaForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,021,818 | 214,947 |
| Downloads all time | 28.3 M | 19.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2025-01-20 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
3.2 M215 K
Qwen3-14B
DeepSeek-R1-Distill-Llama-8B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-14B · fp16
35.2 GB / 24 GB
DeepSeek-R1-Distill-Llama-8B · fp16 @ 128K ctx
37.4 GB / 24 GB