Tinker는 무엇인가요?
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
핵심 기능
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
주요 사용 사례
- 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.
사용 방법
- 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
가격
Tinker는 Freemium 가격 모델을 사용합니다. 가격과 기능은 시간이 지나며 바뀔 수 있습니다.
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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Related Tags
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