Bonsai 1.7B ternary model at 442T/s on M4 Max

  • Hacker News

We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fully autonomous. Measured against unmodified upstream llama.c...

  • Published: May 4, 2026
  • First seen: May 4, 2026

AI Summary

We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fully autonomous. Measured against unmodified upstream llama.c...

Best for

Teams evaluating AI product workflows / Builders comparing emerging tools / Operators tracking early category shifts

Why it matters

Primary discovery source is Hacker News.

Key Features

  • Primary public product URL is https://agents2agents.ai/bonsai.
  • Description: We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fu....
  • Listed on Hacker News as "Bonsai 1.7B ternary model at 442T/s on M4 Max".
  • Source description: We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fu....
  • Source publish date is 2026-05-04.

Use Cases

  • Primary discovery source is Hacker News.
  • Hacker News mention is recent (2026-05-04).
  • Primary public product URL is https://agents2agents.ai/bonsai.
  • Description: We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fu....
  • Listed on Hacker News as "Bonsai 1.7B ternary model at 442T/s on M4 Max".

Why Now

Bonsai 1.7B ternary model at 442T/s on M4 Max is appearing on fresh discovery surfaces, so it is worth reviewing while momentum is still forming. Confidence is currently low (41/100), so treat this as an early signal rather than a settled trend.

Community Signals

Trend score

35.8

24h momentum

Rising

Hacker News points

10

Rising

Facts / Signals / Inference / Unknowns

Facts

  • Listed on Hacker News as "Bonsai 1.7B ternary model at 442T/s on M4 Max".
  • Source description: We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fu....
  • Source publish date is 2026-05-04.
  • Description: We took a recently released Bonsai 1.7B ternary model from PrismML ( https://github.com/PrismML-Eng/Bonsai-demo ) and ran our agentic evolution search on it for 6 hours to optimize the Metal kernels. The search was fu....
  • Primary public product URL is https://agents2agents.ai/bonsai.

Signals

  • Hacker News mention is recent (2026-05-04).
  • Primary discovery source is Hacker News.

Inference

Trust data is still pending

The evidence pipeline has not produced enough structured trust blocks for this product yet.

Unknowns

  • Documentation is not explicitly linked in the current allowed evidence set.
  • No tagline is stored on the current product record.
  • Pricing details are not explicitly linked in the current allowed evidence set.
  • Recent changelog or release history is not explicitly linked in the current allowed evidence set.

Evidence Snapshots

Bonsai 1.7B ternary model at 442T/s on M4 Max

Listed on Hacker News as "Bonsai 1.7B ternary model at 442T/s on M4 Max".

Bonsai 1.7B ternary model at 442T/s on M4 Max official profile

Primary public product URL is https://agents2agents.ai/bonsai.

Alternatives / Related

Original Sources