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tinker-cookbook-2026-04-07-bd7604cefc40 | AGENTS.md | 2026-04-07 | # Tinker Cookbook Agent Guide
Quick reference for agents working on `tinker-cookbook`. Detailed guidance is in the skills under `skills/`.
`tinker-cookbook` is a client library with training and eval code built on the Tinker service (hosted by Thinking Machines Lab) and the Tinker SDK (a separate repo with just the A... |
tinker-cookbook-2026-04-07-bd7604cefc40 | CLAUDE.md | 2026-04-07 | # Tinker Cookbook Agent Guide
Quick reference for agents working on `tinker-cookbook`. Detailed guidance is in the skills under `skills/`.
`tinker-cookbook` is a client library with training and eval code built on the Tinker service (hosted by Thinking Machines Lab) and the Tinker SDK (a separate repo with just the A... |
tinker-cookbook-2026-04-07-bd7604cefc40 | CHANGELOG.md | 2026-04-07 | # Changelog
A curated feed of notable changes to `tinker-cookbook`. Small bugfixes and minor argument additions are omitted—this is for changes worth knowing about.
## Format
Each entry includes:
- **Title**: A short, human-readable summary (not the commit message)
- **Date**: When it was merged
- **Type**: `new` (f... |
tinker-cookbook-2026-04-07-bd7604cefc40 | LICENSE | 2026-04-07 |
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... |
tinker-cookbook-2026-04-07-bd7604cefc40 | README.md | 2026-04-07 | <h1 align="center">Tinker Cookbook</h1>
<div align="center">
<img src="assets/tinker-cover.png" width="60%" />
</div>
<div align="center">
[](https://github.com/thinking-machines-lab/tinker-cookbook/actions/wo... |
tinker-cookbook-2026-04-07-bd7604cefc40 | pyproject.toml | 2026-04-07 | [project]
name = "tinker_cookbook"
dynamic = ["version"]
description = "Implementations of post-training algorithms using the Tinker API"
readme = "README.md"
authors = [
{ name = "Tinker authors", email = "tinker@thinkingmachines.ai" },
]
license = "Apache-2.0"
requires-python = ">=3.11"
dependencies = [
"aiohttp>... |
tinker-cookbook-2026-04-07-bd7604cefc40 | CONTRIBUTING.md | 2026-04-07 | # Contributing to Tinker Cookbook
We welcome contributions! This project is built in the spirit of open science and collaborative development.
## Development setup
```bash
git clone https://github.com/thinking-machines-lab/tinker-cookbook.git
cd tinker-cookbook
uv sync --extra dev
pre-commit install
```
This instal... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/501_export_hf.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 05-1: Export a Merged HuggingFace Model
After training a LoRA adapter with Tinker, you typically want a **standalone mode... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/103_async_patterns.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 03: Efficient Sampling with Tinker
Tinker runs on remote GPUs. Every API call involves network latency plus GPU compute t... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/101_hello_tinker.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 01: Hello Tinker
Tinker is a remote GPU service for LLM training and inference. You write training loops in Python on you... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/407_rlhf_pipeline.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 14: Full RLHF Pipeline
Train a model through the complete 3-stage RLHF pipeline:
```
Stage 1: SFT S... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/204_weights.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 204: Weights and Checkpoints
Tinker stores model checkpoints on the server. This tutorial covers the full checkpoint life... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/401_sl_hyperparams.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 09: SL Hyperparameters
Finding the right learning rate and LoRA rank for SFT. The cookbook provides a `sweep` module that... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/203_completers.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 203: Completers
Completers are thin wrappers around `SamplingClient` that provide two levels of abstraction:
- **Tok... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/402_rl_hyperparams.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 10: RL Hyperparameters
Tune KL penalty, group size, and advantage normalization.
RL training has several hyperparame... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/302_custom_environment.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 06: Build a Custom RL Environment
In tutorial 04, you learned the raw GRPO algorithm -- sampling completions, grading the... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/503_publish_hub.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial: Publish to HuggingFace Hub
Once you have a merged model or PEFT adapter on disk, you can upload it to HuggingFace Hub fo... |
tinker-cookbook-2026-04-07-bd7604cefc40 | tutorials/502_lora_adapter.py | 2026-04-07 | import marimo
__generated_with = "0.21.1"
app = marimo.App()
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell(hide_code=True)
def _(mo):
mo.md(r"""
# Tutorial 05-2: Convert to PEFT LoRA Adapter
Instead of merging LoRA weights into the base model, you can export a **standalone PEF... |
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