Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.
-
Updated
Jul 8, 2026 - Python
Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.
Structured YAML catalog of 4,587 AI models across 95 providers — pricing, context windows, modalities, capabilities. First-party data with TypeScript types and Zod validation.
Local-first desktop app for running uncensored, refusal-ablated language models. Tauri + Rust + Ollama. 12MB installer, zero telemetry.
Curated list of open-source LLM-serving runtimes, routers, evaluators, and standards. Run LLMs without locking into one vendor.
tiny tool, big videos. topic in, video out. no film degree required. webapp, windows app and mcp server for agent use
Pre-registered adversarial robustness study testing whether model-initiated session termination provides defensive coverage beyond refusal training against multi-turn attacks. Minimal Python harness with scorer and analysis pipeline. Pilot on Gemma 4 26b. Preliminary findings in FINDINGS.md.
Open-weights GIS-specific model evaluation, training, and distribution assets
GLM-5.2 Released: 1 Million Usable Context Window, MIT Open-Source Licensing, & Claude Code Integration Guide.
Collect and refine high-quality prompts for Ideogram 4.0 to improve your image generation results.
Production-ready multi-facet conversation evaluation benchmark - 399 facets, 5-level ordinal scoring, scales to 5000+ without redesign. Open-weights LLM (Qwen 3 8B) via Ollama/vLLM/HF.
Ideogram 4 本地 CUDA 图像生成器:内置 NF4 权重、官方 Magic Prompt 提示词优化、Windows/Linux 便携包 / Local open-weight text-to-image generator
AI tool licenses and data terms — know what you're signing.
Democratize AI: a download-and-forget app that turns idle computers into a language model owned by everyone. Folding@home, pointed at intelligence instead of proteins.
Data-driven exploration of open weight AI models and providers, based on performance x cost x energy use.
VoxReach POC — full-duplex AI receptionist demo built on Kyutai MoshiRAG (open weights). Persona: Hearth & Pass Korean restaurant. 2-pane investor demo UI + POS-write moat story.
Open-weight Brazilian Portuguese LLMs trained from scratch — Apache 2.0
Physical Intelligence — foundation models for robotics
API Evangelist profile of Mixedbread - embeddings and reranking API
Open-weights image generation models — Flux family.
An open-source agentic coding harness that learns from its own failures. Observability-driven self-evolution, open-weight-first. Pre-alpha.
Add a description, image, and links to the open-weights topic page so that developers can more easily learn about it.
To associate your repository with the open-weights topic, visit your repo's landing page and select "manage topics."