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bailian-train-deploy

bailian-train-deploy is an agent skill published by modelstudioai, listed under training models. It lives in the modelstudioai/skills repository, which has 57 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.

Bailian CLI (`bl`) allows users to complete the 'data → fine-tuning training → export → deployment → invocation' loop for text, audio, image, and video models, or directly deploy pre-trained models. It supports SFT/DPO/CPT text models, CosyVoice audio TTS models, Wan2.7 image generation models, and Wan i2v/kf2v video generation models. The tool covers dataset validation/upload, fine-tuning task creation, model training, checkpoint export, inference deployment, and invocation examples.

Install

skills is a generic installer for any repository of Claude agent skills -- it reads modelstudioai/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add modelstudioai/skills

Maintenance

Stars
57
State
listed
Licence
Apache-2.0
From the repository

用百炼 CLI (`bl`) 走完"数据→微调训练→导出→部署→调用"的完整闭环,或跳过训练直接部署基座模型。支持文本模型(SFT/DPO/CPT)、音频 TTS 模型(CosyVoice)、图像生成模型(Wan2.7)和视频生成模型(Wan i2v/kf2v)微调。涵盖数据集校验/上传、创建微调任务、等待训练、导出最佳 checkpoint、创建推理部署、等待就绪、给出调用示例。当用户提到在百炼 / DashScope / 阿里云模型工作室上"训练模型""微调""fine-tune""finetune""部署模型""模型上线""把微调模型跑起来/调用""训练一个推理模型""继续预训练""LoRA/SFT/DPO 训练""语音合成模型""TTS 微调""CosyVoice""声音克隆""图像生成微调""文生图""图生图""Wan2.7""图像模型训练""视频生成微调""图生视频""首帧生视频""首尾帧""kf2v""i2v""Wan视频""视频特效训练"等,都应激活本技能——即使用户没明说"用 bl",只要意图是百炼平台的训练或部署,就用本技能,不要自己拼凑命令。

bailian-train-deploy compared with similar skills

bailian-train-deploy compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
bailian-train-deploy (this page)modelstudioai用百炼 CLI (`bl`) 走完"数据→微调训练→导出→部署→调用"的完整闭环,或跳过训练直接部署基座模型。支持文本模型(SFT/DPO/CPT)、音频 TTS 模型(CosyVoice)、图像生成模型(Wan2.7…572026-10-23
agent-platform-eval-flywheelgoogleMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel met…21,5802026-10-25
agent-platform-tuninggoogleAgent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform…21,5802026-10-25
agent-platform-tuning-managementgoogleManages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don'…21,5802026-10-25
gemini-live-apigoogleGenerates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user…21,5802026-10-25
hf-cloud-sagemaker-deployment-plannerhuggingfacePlan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants…11,2132026-10-23
hf-cloud-serving-image-selectionhuggingfacePick the right serving container for a SageMaker model deployment and find its current image URI. Use this sk…11,2132026-10-23

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about bailian-train-deploy

What does bailian-train-deploy do?
Bailian CLI (`bl`) allows users to complete the 'data → fine-tuning training → export → deployment → invocation' loop for text, audio, image, and video models, or directly deploy pre-trained models. It supports SFT/DPO/CPT text models, CosyVoice audio TTS models, Wan2.7 image generation models, and Wan i2v/kf2v video generation models. The tool covers dataset validation/upload, fine-tuning task creation, model training, checkpoint export, inference deployment, and invocation examples.
How do I install bailian-train-deploy?
Run npx skills add modelstudioai/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes bailian-train-deploy?
modelstudioai.
Is bailian-train-deploy maintained, and what licence does it use?
Its repository has 57 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23. The repository declares the Apache-2.0 licence.

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