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NO.
#78f7ba84
Topic
AGENTS & TOOLS
Source
Hacker News · LLM
Published
2026-05-19 12:23:07
Importance
★ 7/10 — radar 70
`Forge` pushes local LLM tool-calling reliability with guardrail retries
FIG-0781:1

`Forge` pushes local LLM tool-calling reliability with guardrail retries

Guardrails, not model size, drive most of the gain. Useful if you want always-on agents without frontier API spend.

[ KEY POINTS ]
  1. Ministral 8B reached 99.3% with Forge; Claude Sonnet with the same layer hit 100%.
  2. Without guardrails, Claude Sonnet scored 87.2%, so orchestration beat raw model strength in this eval.
  3. Retry nudges caused 24-49 point drops when removed; error recovery added about 10 points across tested models.
  4. Backend choice changed results hard: the same Mistral-Nemo 12B weights scored 7% on llama-server vs 83% on Llamafile.
Originalgithub.com/antoinezambelli/forgeRead original →

// related