News for hackers. Stuff that matters.
Re: by zambelli on Tuesday May 19, 2026 @03:02PM (#48197802)
Happy to answer questions about the eval methodology, the backend findings, or anything in the repo. I'll be around.
Re: by fabian_shipamax on Tuesday May 19, 2026 @03:43PM (#48198407)
dashboard link is dead
Re: by zambelli on Tuesday May 19, 2026 @03:48PM (#48198480)
Re: by schaefer on Tuesday May 19, 2026 @04:08PM (#48198768)
yes, that link works for me.
Re: by schaefer on Tuesday May 19, 2026 @05:02PM (#48199605)
super interesting work. It will take me a few days to dig in and really understand it. But I'm looking forward to it.

I run small models at home, so I'm very curious.

Re: by zambelli on Tuesday May 19, 2026 @05:33PM (#48199976)
That's awesome! Let me know if quick start is causing issues or anything else you'd like to dig into.

Out of curiosity, what models are you running?

Re: by zambelli on Friday May 22, 2026 @10:59AM (#48236873)
Thanks to everyone for the great discussion! v0.7.0 is out now. It was in flight when this landed - changes tool error channel based on dogfooding observations with some larger models, eval re-run (numbers shift but within CI), and most importantly docs updated! I hope they're clearer now.
Re: by zambelli on Sunday May 24, 2026 @05:33AM (#48255882)
v0.7.1 is now out - Forge can now sit behind Claude Code! Proxy mode can talk to supported backends and handles format translation. Anthropic > forge > OpenAI; or Anthropic > forge > Anthropic.

Will get this ported over into vLLM work and try to get that released soon.

Thanks to some kind folks who contributed Docker, token counting, and a handful of PRs I haven't gotten to yet.

Re: by c0rruptbytes on Tuesday May 26, 2026 @04:12AM (#48276675)
been testing forge with ternary bonsai 8b mlx 2bit, pretty sweet even if the model is limited - real potential with this project, good luck!!

  - Broad slice:
      - Full Forge: 48/72 accurate, 72/72 complete, score 66.7%
      - Bare: 18/72 accurate, 24/72 complete, score 25.0%
      - Lift: +30 correct runs, no paired regressions
      - Bare had 42 ToolCallErrors and 6 ToolExecutionErrors; full Forge had none.
  - Advanced reasoning:
      - Full Forge: 3/24 accurate, 24/24 complete, score 12.5%
      - Bare: 3/24 accurate, 9/24 complete, score 12.5%
      - Lift: completion improved, but accuracy did not.