msmodelslim

Official

Compress and deploy Ascend models.

Authorascend-ai-coding
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Huawei Ascend NPU models require efficient quantization and deployment workflows. msModelSlim provides end-to-end tools to compress, calibrate, and deploy LLMs, MoE, and multimodal models on Ascend hardware, reducing memory and latency while preserving accuracy.

Core Features & Use Cases

  • Quantization types: W4A8, W8A8, W8A8C8, W8A8S, W16A16S for various trade-offs.
  • Supports MindIE and vLLM-Ascend deployment pipelines.
  • Calibration data preparation, precision auto-tuning, and sensitive layer analysis.
  • Custom model integration via adapters, templates, and config management.
  • Deployment readiness: export quantized models to vLLM-Ascend or MindIE.

Quick Start

Install msModelSlim and run a quantization for your model with the built-in config or a custom config file.

Dependency Matrix

Required Modules

torch

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: msmodelslim
Download link: https://github.com/ascend-ai-coding/awesome-ascend-skills/archive/main.zip#msmodelslim

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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