CAAP models.x402.wtf Solana AI Model Kit

x402 model launch surface

Train from local files, publish to Hugging Face, and hand the model to CAAP/1.0.

The kit turns PDFs, JSONL, CSV, notebooks, markdown, YAML, parquet, and image sidecars into a reviewed SFT dataset, optional LoRA adapter, and registry-ready payload.

Open register.x402.wtf $CLAWD coin x402.wtf
Solana AI Model Kit pipeline

clawd-model-kit


          


          

            

              
Flow

              
One-shot path

              
    
                
  1. CollectDrop source files into `ai-training/data/incoming`.
    2. 
                
  2. BuildCreate SFT JSONL, splits, manifest, and dataset card.
    3. 
                
  3. TrainRun a local LoRA dry-run or launch a guarded HF Job.
    4. 
                
  4. RegisterSend CAAP/1.0 metadata to `onchain.x402.wtf`.
    5. 
              

            


            

              
Deploy

              
Vercel plus Render

              

                cd ai-training/model-kit
                npm run build
                vercel deploy --prod
                render blueprint launch ai-training/model-kit/render.yaml
              

            

          


          

            

              
Published datasets

              
Training lanes

            

            

          


          

            

              
Models

              
Adapters and foundation lanes

            

            

          


          

            

              
Jobs

              
Training status