Local LLM toolchain explodes
New community tools are making powerful local LLM workflows practical — Heretic can automatically remove censoring behavior from models, llmfit scans hardware to recommend optimal models (497 supported), and hobbyists are running Ollama/Open WebUI stacks on $200 mini‑PCs — together they turbocharge experimenting with open LLMs posted posted reported.
p-e-w’s Heretic GitHub repo shows 11.3k stars on the project page, reflecting rapid community uptake. github.com Heretic 1.2.0 was released to PyPI on Feb 14, 2026, and the repository lists AGPL‑3.0 as its license. pypi.org llmfit, authored by AlexsJones, is a Rust‑based CLI/TUI that documents multi‑GPU, MoE and dynamic quantization support in its README. github.com The llmfit project page and mirrors show roughly 6,176 stars and a last push on Feb 27, 2026, indicating active maintenance. agentskill.work XDA’s Dhruv Bhutani published a hands‑on test on Mar 13, 2026 that ran Ollama plus Open WebUI on a small x86 mini PC with 16GB RAM and no dedicated GPU, noting Ollama exposes a local API for other tools. xda-developers.com Community signals include 1,247+ Heretic‑processed models surfaced on the Heretic site and documentation that the tool implements directional ablation with Optuna TPE optimization. heretics.fun llmfit’s README explicitly lists integrations and local runtime providers such as Ollama, llama.cpp and MLX, underscoring interoperability between the hardware‑profiling and local runtime layers. github.com
