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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Choose a model from our extensive open-source library, launch the container, and seamlessly integrate the model API into your application. Whether you're working with image recognition or natural language processing, all our models come pre-trained and are conveniently packaged within a user-friendly API. Our diverse collection of models continues to expand, ensuring you have access to the latest innovations. We carefully select and refine the top models available from sources like HuggingFace and Github. You have the option to host the model on your own with ease or obtain your personal endpoint and API key with just a single click. Cargoship stays at the forefront of advancements in the AI field, relieving you of the burden of keeping up. With the Cargoship Model Store, you'll find a comprehensive selection tailored for every machine learning application. The website features interactive demos for you to explore, along with in-depth guidance that covers everything from the model's capabilities to implementation techniques. Regardless of your skill level, we’re committed to providing you with thorough instructions to ensure your success. Additionally, our support team is always available to assist you with any questions you may have.

Description

Tinker is an innovative training API tailored for researchers and developers, providing comprehensive control over model fine-tuning while simplifying the complexities of infrastructure management. It offers essential primitives that empower users to create bespoke training loops, supervision techniques, and reinforcement learning workflows. Currently, it facilitates LoRA fine-tuning on open-weight models from both the LLama and Qwen families, accommodating a range of model sizes from smaller variants to extensive mixture-of-experts configurations. Users can write Python scripts to manage data, loss functions, and algorithmic processes, while Tinker autonomously takes care of scheduling, resource distribution, distributed training, and recovery from failures. The platform allows users to download model weights at various checkpoints without the burden of managing the computational environment. Delivered as a managed service, Tinker executes training jobs on Thinking Machines’ proprietary GPU infrastructure, alleviating users from the challenges of cluster orchestration and enabling them to focus on building and optimizing their models. This seamless integration of capabilities makes Tinker a vital tool for advancing machine learning research and development.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Python
Qwen
Qwen3
React Native
Vue.js

Integrations

Docker
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Python
Qwen
Qwen3
React Native
Vue.js

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cargoship

Website

cargoship.sh/

Vendor Details

Company Name

Thinking Machines Lab

Country

United States

Website

thinkingmachines.ai/tinker/

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