Llama-3.1-8B-Instruct vs DeepSeek-V2-Lite-Chat

Specs, VRAM requirements and download trends — updated 6 August 2026.

meta-llama · A

Llama-3.1-8B-Instruct

Params

8.0 B

Context

—

30d

8.0 M

llama3.1 licence · conditional

deepseek-ai · B

DeepSeek-V2-Lite-Chat

Params

15.7 B

Context

163,840

30d

1.4 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Llama-3.1-8B-Instruct	DeepSeek-V2-Lite-Chat
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	1,354,449
Downloads all time	175.3 M	7.5 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 10 days (28 Jul – 6 Aug)

8.0 M1.2 M

Llama-3.1-8B-Instruct DeepSeek-V2-Lite-Chat

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Llama-3.1-8B-Instruct · fp16 19.4 GB / 24 GB

✅ Runs comfortably

DeepSeek-V2-Lite-Chat · fp16 @ 160K ctx 82.2 GB / 24 GB

❌ Won’t fit

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