prism-ml / text-generation updated 3 weeks ago

Ternary-Bonsai-27B-mlx-2bit

Name: Ternary-Bonsai-27B-mlx-2bit
Author: prism-ml

Prism ML Website    Whitepaper    Demo & Examples    Discord

Params

2.6 B

Context

—

Downloads 30d

453 K

Likes

167

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (4 recorded)

453 K downloads in the last 30 days

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	u32	8.5 GB	10.2 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/ternary-bonsai-27b-mlx-2bit
{
  "hf_id": "prism-ml/Ternary-Bonsai-27B-mlx-2bit",
  "params_b": 2.56,
  "context_length": null,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 452728,
  "vram_estimates": [
    { "quant": "u32", "gb": 10.2 }
  ],
  "updated_at": "2026-08-03T01:00:29Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3_5ForConditionalGeneration
Parameters: 2.6 B
Tensor type: U32
Licence: apache-2.0
First seen on the Hub: 2026-07-04
Base model: Qwen3.6-27B
Training datasets: undisclosed
Added to our catalog: 2026-08-03

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen3.6-27B Qwen 7.0 M

Compare with

Qwen3-0.6B 29.7 M Qwen3-8B 16.3 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M Qwen2.5-3B-Instruct 6.0 M

Appears in

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