Tinker
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Control every aspect of model training and fine-tuning
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thinkingmachines.ai/
Qu'est-ce que 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
Fonctionnalites principales
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
Cas d'usage populaires
- 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.
Comment l'utiliser
- 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
Tarifs
Tinker utilise un modele tarifaire Freemium. Les prix et fonctionnalites peuvent evoluer avec le temps.
Free
$0
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Pro
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Team
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Enterprise
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Offre / Coupon
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Pourquoi les utilisateurs l'aiment ?
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Questions frequentes
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Tool status
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Pricing verified
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Founder claimed
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Source
Official website / Community submitted
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