Fine-tuning & Deployment

Manage the full model fine-tuning and deployment lifecycle from the terminal: create fine-tune jobs, manage checkpoints, deploy dedicated models, and manage throughput reservations.

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Fine-tuning

• bl finetune text create: Create a text model fine-tune job (sft | sft-lora | dpo | dpo-lora | cpt) with advanced parameters for job name, priority, LoRA, evaluation, checkpoint saving, dataset split, and data augmentation
• bl finetune audio create: Create an audio TTS model fine-tune job (sft-lora)
• bl finetune image create: Create an image generation model fine-tune job (sft-lora)
• bl finetune video create: Create a video generation model fine-tune job (Wan i2v/kf2v, efficient_sft)
• bl finetune list: List fine-tune jobs
• bl finetune get: Get details of a single fine-tune job, including job metadata and hyperparameters
• bl finetune watch: Probe a fine-tune job's status; use --follow to poll until terminal
• bl finetune logs: Fetch training logs for a fine-tune job
• bl finetune checkpoints: List checkpoints produced by a fine-tune job
• bl finetune export: Publish a checkpoint as a deployable model
• bl finetune cancel: Cancel a running fine-tune job
• bl finetune delete: Delete a fine-tune job record
• bl finetune capability: Query fine-tune training capability — by model (which training types it supports) or by training type (which models support it)
• bl finetune price: Estimate the training cost for a fine-tune job (token billing)

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Deployment

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Deployment management

• bl deploy text create: Create a text model deployment
• bl deploy audio create: Create an audio (TTS) model deployment
• bl deploy image create: Create an image generation model deployment
• bl deploy list: List model deployments and throughput reservations
• bl deploy get: Get details of a single model deployment
• bl deploy update: Update a deployment's rate limits (rpm_limit / tpm_limit)
• bl deploy scale: Scale a deployment's capacity
• bl deploy delete: Delete a model deployment (PTU must be STOPPED with all capacity released)
• bl deploy pause: Pause a running model deployment (stops billing for mu/ptu)
• bl deploy resume: Resume a paused model deployment (brings service back online)
• bl deploy models: List models available for deployment

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Throughput reservation capacity

Purchasing, scaling, renewing, releasing, and setting overflow strategies for capacity instances are high-risk operations: execution is blocked without --yes; preview with --dry-run first.

• bl deploy capacity list: List throughput reservation capacity instances
• bl deploy capacity get: Get a throughput reservation capacity instance
• bl deploy capacity create: Purchase an additional capacity instance for a ModelCode
• bl deploy capacity scale: Scale the absolute capacity of one reservation instance
• bl deploy capacity renew: Renew a prepaid capacity instance, optionally changing capacity
• bl deploy capacity delete: Release a capacity instance without deleting its ModelCode
• bl deploy capacity unsubscribe: Build the Aliyun billing console unsubscribe link for a prepaid capacity instance
• bl deploy overflow: Set the overflow strategy for a throughput reservation ModelCode
• bl deploy operation get: Query a throughput reservation capacity operation once
• bl deploy operation wait: Wait for a capacity operation and refresh confirmed capacity