Tinker is a training API for researchers and developers that provides fine-grained control over model training and fine-tuning while abstracting away infrastructure complexities.
Control every aspect of model training and fine-tuning
- Fine-tuning language models for specific tasks
- Reinforcement learning research and experimentation
- Rapid prototyping of training algorithms
- Custom model training without infrastructure management
- Sign up for a Tinker account and obtain API credentials
- Choose a supported model from the available list
- Use the forward_backward function to perform forward and backward passes
- Apply optim_step to update model weights
- Use sample to generate tokens for evaluation or interaction
- Save state with save_state to resume training later
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