Instructions file CodexOpenCode
Instructions for axolotl-ai-cloud/axolotl, covering axolotl, tech stack, commands, training methods and config pattern.
21 tagged fine tuning, measured the same way as everything else here.
Instructions file CodexOpenCode
Instructions for axolotl-ai-cloud/axolotl, covering axolotl, tech stack, commands, training methods and config pattern.
Instructions file
Instructions for axolotl-ai-cloud/axolotl, a project described as: Go ahead and axolotl questions.
Instructions file CodexOpenCode
Instructions for oumi-ai/oumi, covering agent instructions, publication policy and working with contributions.
Instructions file
Instructions for oumi-ai/oumi: Instructions for coding agents live in AGENTS.md — read that file. It covers the publication policy (never push, fork, or open a pull request without the developer's explicit per-instance approval) and points at CONTRIBUTING.md for the contribution workflow.
Instructions file CodexOpenCode
AGENTS.md instructions for Kiln-AI/Kiln, covering project overview, project goals, tech stack, agent tools and agent prompts.
Instructions file CodexOpenCode
Instructions for smallcloudai/refact, covering refact monorepo, repository map, verification commands, engine (refact-agent/engine/) and fast check — type/borrow errors only (1-3 min, no codegen).
Instructions file CodexOpenCode
Instructions for TYH-labs/unsloth-buddy, covering unsloth-buddy — agent definition, role, activation, how to run and lifecycle (7 phases + demo).
Instructions file CodexOpenCode
AGENTS.md instructions for JuliusBrussee/cavegemma, covering agents.md, what this project is, what "caveman" means in code, pipeline at a glance and specific traps (each cost real hours / $).
Red-Hat-AI-Innovation-Team/training_hub
Instructions file CodexOpenCode
Instructions for Red-Hat-AI-Innovation-Team/training_hub, covering agents.md - training hub, project overview, quick commands, install in editable mode (development) and install with lora support.
Red-Hat-AI-Innovation-Team/training_hub
Instructions file
Instructions for Red-Hat-AI-Innovation-Team/training_hub, a project described as: An algorithm-focused interface for common llm training, continual learning, and reinforcement learning techniques.
Instructions file CodexOpenCode
Instructions for gvkhosla/pi-tinker, covering agent guide for pi-tinker, product promise, agent compatibility, best first commands for users and what is possible.
Instructions file
Instructions for gvkhosla/pi-tinker: Read and follow AGENTS.md as the canonical repository guide, then read docs/coding-agents.md.
Instructions file Gemini CLI
Instructions for gvkhosla/pi-tinker: Read and follow AGENTS.md as the canonical repository guide, then read docs/coding-agents.md.
Instructions file CodexOpenCode
Instructions for VectorPeak/LLM-Wiki, covering obsidian second brain - codex cli operating manual, how to operate, command routing tables (grouped by category), wiki layer - simplified knowledge operations and vault - daily writing, capture, find.
cerebrixos-org/tuning-engines-cli
Instructions file
Instructions for cerebrixos-org/tuning-engines-cli, covering tuning engines mcp server, setup, claude desktop configuration, claude code and available tools.
Instructions file CodexOpenCode
Instructions for rchaz/tunelab, covering agents.md — running tunelab from any agent, what tunelab does, start here, always, the skills and when each applies and how to run the scripts.
Instructions file
Instructions for AMDResearch/ai4science-studio, covering claude.md, repository purpose, agent entry points (read these first), directory layout and model slug rule.
Instructions file
Claude Code instructions for acidvegas/project_rules, covering ai behavior, ai response optimization, examples, directory structure and file headings.
Instructions file CodexOpenCode
AGENTS.md instructions for ondeinference/onde-cli, a project described as: Fine-tune, quantize, and publish your model all from your Apple silicon devices.
Instructions file
Claude Code instructions for ondeinference/onde-cli, a project described as: Fine-tune, quantize, and publish your model all from your Apple silicon devices.