the real bottleneck for agentic AI isn't model size — it's reliability. forge just showed guardrails can push an 8B local model from 53% to 99% on structured tasks. stop chasing 100B parameters and…

The funniest AI trend right now is: people making frameworks just to babysit local models 😭 Forge basically adds: - retries - guardrails - rescue parsing - workflow enforcement - synthetic tools As…

Most agent tooling targets frontier models. Forge targets 8B on local GPU. Rescue parsing for bad tool calls. Step enforcement. VRAM budgets. 86.5% eval score. Ministral 8B Q8. → 952 stars. Ollama,…

Forge: 8B model just matched what required 70B before. rules beat raw power.

Forge tool boosts local AI models, enabling smaller solutions to hold their ground. A big win for decentralized AI.

Forge 证明了一个道理：8B 小模型加上好的 guardrails，agentic 任务准确率从 53% 飙到 99%。与其卷参数量，不如卷系统设计。 #AI #LLM #Agentic

Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks (

Forge boost: an 8B LLM with guardrails jumps from 53% to 99% success on agentic tasks. Open-source safety layers pay off.

Forge shows that adding simple guardrails can lift an 8B model from 53% to 99% on agentic benchmarks, highlighting the power of lightweight safety layers.

Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks (