DeepSeek-R1-0528-Qwen3-8B vs LLaDA-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
371 K
mit · commercial OK
GSAI-ML · B · Open weights
Params
8.0 B
Context
—
30d
221 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-R1-0528-Qwen3-8B LLaDA-8B-Instruct
Parameters 8.2 B 8.0 B
Architecture Qwen3ForCausalLM LLaDAModelLM
Context length 131,072 —
Licence mit mit
Commercial use Allowed Allowed
Languages — —
Downloads 30d 370,533 221,151
Downloads all time 8.6 M 6.4 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-05-29 2025-02-19

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

1.3 M221 K
DeepSeek-R1-0528-Qwen3-8B LLaDA-8B-Instruct

VRAM side by side

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

LLaDA-8B-Instruct · fp16 19.3 GB / 24 GB
✅ Runs comfortably
DeepSeek-R1-0528-Qwen3-8B · fp16 @ 128K ctx 38.2 GB / 24 GB
❌ Won’t fit

Adjacent comparisons