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vllm-ascend-model-adapter - Adapt Models for vLLM on Ascend NPU

Adapt Hugging Face or local models to run on vllm-ascend with minimal changes

Tags

Updated: 2026-05-11

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • analyze model architecture
  • inspect model files
  • implement model adapter
  • add model processor
  • register model support
  • map model weights
  • validate dummy weights
  • validate real weights
  • start vllm serve
  • send inference request
  • verify multimodal features
  • generate test config
  • create tutorial doc
  • backport code changes
  • create signed commit

Inputs

  • Model path
  • Config files
  • Processor files
  • Modeling files
  • Tokenizer files
  • Model checkpoint
  • vllm-workspace directories
  • Current git repository
  • Docker environment

Outputs

  • Signed git commit
  • Test config YAML
  • Tutorial markdown
  • Tutorial index update
  • Analysis report
  • Runbook document
  • Feature status matrix
  • Commit hash

Requirements

  • Docker environment
  • Git repository
  • vllm-workspace installation
  • Ascend NPU hardware
  • OpenAI-compatible API

Source

  • Spec: SKILL.md
vllm
ascend
npu
model adaptation
inference
multimodal
huggingface
analyze model architecture
inspect model files
implement model adapter
add model processor
Model path
Config files
Processor files
Signed git commit
Test config YAML
Tutorial markdown