Tinker

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Control every aspect of model training and fine-tuning
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thinkingmachines.ai/
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O que e 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

Recursos principais
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
Casos de uso populares
  • 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.
Como usar
  • 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
Preco
Tinker usa um modelo de preco Freemium. O preco e os recursos podem mudar com o tempo.
Free
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Pro
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