Tinker

Tinker

Thinking Machines Lab
+
+

Related Products

  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • StackAI
    55 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Pipedrive
    12,537 Ratings
    Visit Website
  • Anaconda
    9 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website

About

OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply replace your Python or Javascript OpenAI SDK and add an OpenPipe API key. Make your data searchable with custom tags. Small specialized models cost much less to run than large multipurpose LLMs. Replace prompts with models in minutes, not weeks. Fine-tuned Mistral and Llama 2 models consistently outperform GPT-4-1106-Turbo, at a fraction of the cost. We're open-source, and so are many of the base models we use. Own your own weights when you fine-tune Mistral and Llama 2, and download them at any time.

About

Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers requiring a solution to replace prompts with faster, cheaper fine-tuned models

Audience

AI researchers and ML engineers requiring a solution to experiment with fine-tuning open source language models while outsourcing infrastructure complexity

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$1.20 per 1M tokens
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

OpenPipe
United States
openpipe.ai/

Company Information

Thinking Machines Lab
United States
thinkingmachines.ai/tinker/

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab
Llama 2

Llama 2

Meta
Tune Studio

Tune Studio

NimbleBox

Categories

AI Development Supported
AI Fine-Tuning Supported
LLM Evaluation Supported

Categories

Integrations

Python Supported
Axolotl Supported
Codestral Mamba Supported
Inkling Not Supported
Inkling-Small Not Supported
JavaScript Supported
Llama 2 Supported
Llama 3 Not Supported
Mathstral Supported
Ministral 3B Supported
Mistral 7B Supported
Mistral AI Supported
Mistral Large Supported
Mistral NeMo Supported
Mistral Small Supported
Mixtral 8x22B Supported
Node.js Supported
OpenAI Supported
PostgreSQL Supported
Qwen Not Supported

Integrations

Python Supported
Axolotl Not Supported
Codestral Mamba Not Supported
Inkling Supported
Inkling-Small Supported
JavaScript Not Supported
Llama 2 Not Supported
Llama 3 Supported
Mathstral Not Supported
Ministral 3B Not Supported
Mistral 7B Not Supported
Mistral AI Not Supported
Mistral Large Not Supported
Mistral NeMo Not Supported
Mistral Small Not Supported
Mixtral 8x22B Not Supported
Node.js Not Supported
OpenAI Not Supported
PostgreSQL Not Supported
Qwen Supported
Claim OpenPipe and update features and information
Claim OpenPipe and update features and information
Claim Tinker and update features and information
Claim Tinker and update features and information