القائمة
Plans AirLLM-style layer-by-layer inference across mesh devices for running large models on limited hardware.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | layer-inference-planner |
| description | Plans AirLLM-style layer-by-layer inference across mesh devices for running large models on limited hardware. |
| version | 0.1.0 |
| publisher | acmecorp |
| handler_language | typescript |
| handler_file | handler.ts |
| inputs_schema | {"type":"object","properties":{"action":{"type":"string","enum":["plan_single","plan_distributed","estimate","visualize"]},"model_id":{"type":"string"},"total_layers":{"type":"number"},"activation_size_mb":{"type":"number"},"available_vram_mb":{"type":"number"},"devices":{"type":"array"}},"required":["action"]} |
| outputs_schema | {"type":"object","properties":{"result":{"type":"object"}}} |
Plans AirLLM-style layer-by-layer inference for running 70B+ models on constrained hardware. Supports single-device sequential inference and multi-device pipeline distribution with activation transfer estimation.
