Qwen2.5-0.5B-Instruct vs DeepSeek-R1-0528-Qwen3-8B-MLX-4bit
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
490 M
Context
32,768
30d
4.5 M
apache-2.0 · commercial OK
lmstudio-community · B · Open weights
Params
1.3 B
Context
131,072
30d
218 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-0.5B-Instruct | DeepSeek-R1-0528-Qwen3-8B-MLX-4bit |
|---|---|---|
| Parameters | 490 M | 1.3 B |
| Architecture | Qwen2ForCausalLM | Qwen3ForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 4,524,207 | 218,172 |
| Downloads all time | 78.1 M | 6.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2025-05-29 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
8.7 M184 K
Qwen2.5-0.5B-Instruct
DeepSeek-R1-0528-Qwen3-8B-MLX-4bit
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-0.5B-Instruct · fp16
1.7 GB / 24 GB
DeepSeek-R1-0528-Qwen3-8B-MLX-4bit · fp16 @ 128K ctx
8.6 GB / 24 GB