Qwen3-1.7B vs Ternary-Bonsai-27B-mlx-2bit

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

Qwen · A
Params
2.0 B
Context
40,960
30d
7.8 M
apache-2.0 · commercial OK
prism-ml · B
Params
2.6 B
Context
30d
453 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-1.7B Ternary-Bonsai-27B-mlx-2bit
Parameters 2.0 B 2.6 B
Architecture Qwen3ForCausalLM Qwen3_5ForConditionalGeneration
Context length 40,960
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages
Downloads 30d 7,765,125 452,728
Downloads all time 56.3 M 453 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-07-04

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

7.8 M197 K
Qwen3-1.7B Ternary-Bonsai-27B-mlx-2bit

VRAM side by side

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

Qwen3-1.7B · fp16 5.3 GB / 24 GB
✅ Runs comfortably
Ternary-Bonsai-27B-mlx-2bit · fp16 10.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons