List models supported by the inference engine via the Python helper.
npx skills add https://github.com/trymirai/uzu --skill list-models
Please help me install this Agent Skill. Skill: list-models Source: https://github.com/trymirai/uzu/tree/main/agents/skills/list-models Command: npx skills add https://github.com/trymirai/uzu --skill list-models
Gets a quick view of all models supported by the inference engine, enabling developers to decide which models to use or optimize without manual digging.
Run the helper to list all models supported by the inference engine.
High-intent search queries and answers about installing and using this skill.
To list models supported by the inference engine, run the Python helper in tools/helpers. It scans the internal model registry and returns model identifiers ready for evaluation, conversion, or deployment.
Discovering compatible models for a Python inference engine involves scanning the internal model registry via a helper script. This returns model identifiers, helping you quickly verify model availability without manual digging.
Yes, you can compare model availability across versions and repos by listing the supported models. The helper scans the registry to return current model identifiers, aiding in deployment preparation and comparison.
You need to check the model registry before deployment when preparing model selections for experimentation. Scanning the registry via the Python helper ensures the chosen models are compatible with the current runtime environment.
Listing supported models requires no external dependencies. It uses a Python helper in tools/helpers to directly scan the internal model registry, returning ready model identifiers for the inference engine.
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