Bring your data and model
Add a Dataset
Register a training dataset by importing it from HuggingFace or uploading your own file.
Upload a Model
Bring your own base model into Train: which formats can be fine-tuned and what the archive should contain.
Train and use the result
Fine-tune a Model
Configure and launch a LoRA fine-tuning run, then monitor it to completion.
RLVR Training
Train with GRPO against a verifiable reward, no labeled dataset required.
Merge & Save a Model
Merge a trained LoRA adapter into its base model and push it to BenchGen.
Run Inference
Serve a model you trained as a live, OpenAI-compatible endpoint.
What Train hands off
- → Eval: run a benchmark against the fine-tuned model to measure improvement.
- → Agents: connect the merged model as the LLM inside an agent.