dspy-finetune-bootstrap
CommunityFine-tune DSPy models with BootstrapFinetune
AuthorOmidZamani
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill distills a DSPy program into fine-tuned model weights for efficient production deployment, reducing inference costs and latency.
Core Features & Use Cases
- BootstrapFinetune workflow: Prepare a teacher, generate traces, and fine-tune a student model.
- Production readiness: Output a finetuned program and a saved model path suitable for deployment.
- Use Case: When you have a large teacher model and want a smaller, fast-serving version without API-only constraints.
Quick Start
Configure a strong teacher LM, instantiate a teacher DSPy module, and run BootstrapFinetune with your trainset and train_kwargs to produce a finetuned model that you can save and load for inference.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dspy-finetune-bootstrap Download link: https://github.com/OmidZamani/dspy-skills/archive/main.zip#dspy-finetune-bootstrap Please download this .zip file, extract it, and install it in the .claude/skills/ directory.