Ternary-Bonsai-27B-mlx-2bit vs OpenELM-1_1B-Instruct
Specs, VRAM requirements and download trends — updated 1 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 | OpenELM-1_1B-Instruct |
|---|---|---|
| Parameters | 2.6 B | 1.1 B |
| Architecture | Qwen3_5ForConditionalGeneration | OpenELMForCausalLM |
| Context length | — | — |
| Licence | apache-2.0 | apple-amlr |
| Commercial use | Allowed | Unknown |
| Languages | — | — |
| Downloads 30d | 1,012,597 | 184,416 |
| Downloads all time | 4.7 M | 27.7 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-07-04 | 2024-04-12 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.1 M184 K
Ternary-Bonsai-27B-mlx-2bit
OpenELM-1_1B-Instruct
A overtook B on 1 Oct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
OpenELM-1_1B-Instruct · fp16
3.0 GB / 24 GB
Ternary-Bonsai-27B-mlx-2bit · fp16
10.2 GB / 24 GB