Step 1
Upload a batch of raw input data
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Model Distiller Workflow
Automatically iterate over a dataset and use a teacher LLM to generate high-quality fine-tuning pairs for your small models. Free.
Step 2
Configure the Teacher LLM's system instructions
Step 3
Run the generation pipeline in the background
How to Use Model Distiller Workflow
Automate the creation of synthetic instruction sets.
- 1Upload a batch of raw input data
- 2Configure the Teacher LLM's system instructions
- 3Run the generation pipeline in the background
- 4Export a clean JSONL file ready for LoRA fine-tuning
Who Is Model Distiller Workflow For?
Machine learning practitioners exploring synthetic data.
ML Researchers
Distill reasoning capabilities
AI Hackers
Create specialized task-specific models
Frequently Asked Questions
What is the output format?▼
It outputs the standard JSONL format used by HuggingFace, Unsloth, and OpenAI fine-tuning endpoints.