Curated list of open-weight AI models with commercially exploitable licenses, verified benchmarks, and no EU restrictions.

TypeScript framework for fine-tuning

Benchmarking open-weight LLM coding agents as SCOUT delegates: model comparison experiments with pre-registered protocols, blind scoring, and full data.

“A clean, from-scratch implementation of the OLMo architecture with KV caching, RoPE, and an efficient autoregressive inference pipeline. Designed as a minimal yet extensible foundation for post-training research, including RLHF, preference optimization, and reasoning-focused systems.”

Open methodology for systematic adversarial evaluation of small language models in regulated industry deployments

Experimental framework for cross-subtask malicious intent detection in stateless AI agents — research into open-weight model safety

Tamper Attack Resistance (BlueDot Impact Technical AI Safety Project)

Klepon: Taste of Indonesia

Time‑Shift LLM Integrity Tester

Closing the Opus Gap: Systematic Optimization of Tool-Calling in Open-Weight LLMs on Wafer-Scale Hardware

Experimental local-first AI workspace powered by local LLMs.

Technical roadmaps for China's open and open-weight LLM companies: GLM, Kimi, DeepSeek, MiniMax

MacOS Electron Client for LLMs that run locally and on the Cloud using LM Studio/Ollama/OpenRouter/Nvidia Build

Anthropic-style emotion-vector geometry, on any open-weight LLM, in one command. Frozen corpus + unified pipeline + statistical rigor + 5-model reference results.