Llama-3.1-8B-Instruct vs DeepSeek-Coder-V2-Lite-Instruct-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 | DeepSeek-Coder-V2-Lite-Instruct-FP8 |
|---|---|---|
| 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 | 8,014,793 | 203,893 |
| Downloads all time | 175.3 M | 1.1 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-07-18 | 2024-07-17 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
8.0 M195 K
Llama-3.1-8B-Instruct
DeepSeek-Coder-V2-Lite-Instruct-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
DeepSeek-Coder-V2-Lite-Instruct-FP8 · fp16 @ 160K ctx
65.4 GB / 24 GB