huawei-cloud-msmodelslim-model-adapt SKILL.md skillA

huawei-cloud-msmodelslim-model-adapt from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-msmodelslim-model-adapt@git:20260604.f4dba6b

Pins git:20260604.f4dba6b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
huaweicloud/huaweicloud-skills
Path
skills/ai/modelarts/huawei-cloud-msmodelslim-model-adapt/SKILL.md
Versions recorded
1
Latest version
git:20260604.f4dba6b, committed Jun 4, 2026
Size
8,737 bytes
Repository stars
59
License
MIT

Create basic Transformers model adapters for msModelSlim. Implements required interfaces and completes a four-step verification workflow: generate test model -> full fallback quantization -> weight verification -> quantization description validation. Use this skill when the user wants to: (1) create msModelSlim adapters for decoder-only LLM, (2) adapt understanding VLM text backbones for quantization, (3) implement W8A8/W4A16 quantization workflow for new models. Trigger: user mentions…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Huawei Cloud msModelSlim Model Adapter

## Overview

This skill guides how to create basic adapters for new models to run
W8A8/W4A16 quantization workflows in msModelSlim.

**Architecture**: Model Analysis -> Adapter Creation -> Registration ->
Verification (4 Steps)

**Related Skills**:

- `huawei-cloud-msmodelslim-model-analysis` - Model structure analysis
  before adapter implementation
- `huawei-cloud-ascend-profiler-db-explorer` - Optional: Performance
  analysis after deployment

## Scope

**Supported**:

- Decoder-only LLM
- Understanding VLM (text/LLM backbone only)

**Not supported**:

- Multimodal generation (Stable Diffusion/Flux/Wan)
- Encoder-only models
- Non-Transformers architectures

## Architecture

```text
┌─────────────────────────────────────────────────────────────┐
│              msModelSlim Model Adapter Skill                │
├─────────────────────────────────────────────────────────────┤
│  ┌──────────────────┐    ┌──────────────────────────────┐  │
│  │  Model Analysis │───▶│    Adapter Creation          │  │
│  │  - config.json  │    │    - LLM Adapter Template     │  │
│  │  - modeling_*.py│    │    - VLM Adapter Template     │  │
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-msmodelslim-model-adapt@sha256:f18a553fa409636f

The line at the top of this page pins the label git:20260604.f4dba6b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qj67fry63jngmips.svg)](https://markdownregistry.com/a/art_qj67fry63jngmips)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 4, 2026.

versioncommittedcommitsizeaudit
git:20260604.f4dba6b latest2026-06-04 f4dba6b 8,737 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8737 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_qj67fry63jngmips
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-msmodelslim-model-adapt
GET https://markdownregistry.com/api/v1/blob/f18a553fa409636fc343e194d44988338c40f6e95371daaee0067a7d3d6b029d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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