Tinker API
  • What is Tinker?
  • Navigating these docs
  • Installation
  • Using the Tinker API
  • Training and Sampling
  • Loss Functions
  • Saving and Loading
  • Downloading Weights
  • Publishing Weights
  • Async and Futures
  • Model Lineup
    • ServiceClient
    • TrainingClient
    • SamplingClient
    • RestClient
    • APIFuture
    • Parameters
    • Exceptions
  • The Tinker Cookbook
  • Overview
  • Rendering
  • LoRA Primer
  • Supervised Learning
    • Basic SL
    • SL training loop
    • SL hyperparams
    • Prompt distillation
    • Sweep case study
  • Reinforcement Learning
    • Your first RL run
    • RL envs
    • RL training loop
    • RL hyperparams
  • Preferences
    • DPO guide
    • RLHF worked example
  • Evaluations
  • Completers
  • Under the Hood
  • Development tips

On This Page

  • AI-assisted development
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Development tips

Developer Tips

AI-assisted development

We've provided a single-file version of the documentation that can be fed to LLMs for development: see llms.txt and llms-full.txt.

Under the Hood

Tinker API Documentation