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mindspeed-mm-vlm

82 / 100 · Low risk

Fine to try.

By ascend-ai-coding/awesome-ascend-skills (GitHub) · other · 184 stars · scanned at commit 75ec89c

Universal VLM (vision-language understanding model) training guide for Huawei Ascend NPU using MindSpeed-MM. Covers all three framework patterns (Megatron, FSDP2, Custom trainers), weight conversion, dataset preparation (MLLM JSON format), fine-tuning, inference, and evaluation. Supports Qwen2.5VL, Qwen2VL, Qwen3VL, InternVL2.5/3/3.5, GLM4.1V, GLM4.5V, DeepSeekVL2, DeepSeekOCR, Ming, and more. Use when training or fine-tuning any multimodal understanding model on Ascend NPU.

Works with any agent that supports SKILL.md skills.

What this skill can do

Runs commands on your computer

This is disclosed by the author in the skill's SKILL.md or README.

Found in 21 places.

Show 17 more

and 1 more places

Downloads and installs other software

The author does not mention this.

Found in 21 places.

Show 17 more

and 1 more places

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'mindspeed-mm-vlm' ] || [ -L ~/.agents/skills/'mindspeed-mm-vlm' ]; then echo 'A skill folder named mindspeed-mm-vlm already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ascend-ai-coding/awesome-ascend-skills' "$d" && git -C "$d" checkout --quiet '75ec89ce9d401be8ac95980e1c3f42f8d4315057' -- 'skills/training/mindspeed-mm/mindspeed-mm-vlm' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/training/mindspeed-mm/mindspeed-mm-vlm' ~/.agents/skills/'mindspeed-mm-vlm' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'mindspeed-mm-vlm' ~/.claude/skills/'mindspeed-mm-vlm' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-0875ec89c100