Tinker
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Control every aspect of model training and fine-tuning
WebsiteFreemiumAPI
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thinkingmachines.ai/
Was ist Tinker?
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
Kernfunktionen
Perform forward and backward passes with gradient accumulation
Update model weights via optim_step
Generate tokens for interaction, evaluation, or RL actions
Save training progress for resumption
Support for LoRA fine-tuning
Compatible with models from DeepSeek, Moonshot, NVIDIA, GPT-OSS, Qwen, and Thinking Machines
Beliebte Anwendungsfaelle
- Fine-tuning language models for specific tasks
- Reinforcement learning research and experimentation
- Rapid prototyping of training algorithms
- Custom model training without infrastructure management
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
So benutzt du es
- 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
Preise
Tinker verwendet ein Freemium-Preismodell. Preise und Funktionen koennen sich mit der Zeit aendern.
Free
$0
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Pro
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Team
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Enterprise
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Source
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