Ternary-Bonsai-27B-mlx-2bit vs Qwen3-4B-Base
Specs, VRAM requirements and download trends — updated 13 September 2026.
prism-ml · A · Open weights
Params
2.6 B
Context
—
30d
1.0 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Ternary-Bonsai-27B-mlx-2bit | Qwen3-4B-Base |
|---|---|---|
| Parameters | 2.6 B | 4.0 B |
| Architecture | Qwen3_5ForConditionalGeneration | Qwen3ForCausalLM |
| Context length | — | 32,768 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 1,012,597 | 446,856 |
| Downloads all time | 4.7 M | 23.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-07-04 | 2025-04-28 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.1 M418 K
Ternary-Bonsai-27B-mlx-2bit
Qwen3-4B-Base
A overtook B on 29 Sep
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-4B-Base · fp16
10.0 GB / 24 GB
Ternary-Bonsai-27B-mlx-2bit · fp16
10.2 GB / 24 GB