Llama-3.1-8B-Instruct vs DeepSeek-V2-Lite
Specs, VRAM requirements and download trends — updated 21 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.1-8B-Instruct | DeepSeek-V2-Lite |
|---|---|---|
| Parameters | 8.0 B | 15.7 B |
| Architecture | LlamaForCausalLM | DeepseekV2ForCausalLM |
| Context length | — | 163,840 |
| Licence | llama3.1 | other |
| Commercial use | Conditional | Unknown |
| Languages | 8 | — |
| Downloads 30d | 5,910,102 | 304,131 |
| Downloads all time | 185.1 M | 5.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2024-05-15 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
8.0 M304 K
Llama-3.1-8B-Instruct
DeepSeek-V2-Lite
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Llama-3.1-8B-Instruct · fp16
19.4 GB / 24 GB
DeepSeek-V2-Lite · fp16 @ 160K ctx
82.2 GB / 24 GB