vllm-model-tutoriallisted

Generate comprehensive Chinese technical tutorial documents for specific vLLM models (e.g., Qwen3-VL, DeepSeek-V3, Llama 4, InternVL3, etc.). Produces deep-dive model walkthrough documents with Mermaid architecture diagrams, comparison tables, input preprocessing flows, forward pass analysis, ViT computation (for VLMs), vLLM code implementation analysis, and technical principle explanations (MoE, MLA, Gated Attention, ViT, DiT, etc.). Output is saved as Markdown to the skill's outputs/ directory. TRIGGER when: user asks to learn about a specific vLLM model (e.g., "我想了解 vllm 中的 Qwen3-VL", "帮我生成 Qwen3-VL 的模型教程", "generate a model tutorial for InternVL3 in vllm", "vllm 中的 DeepSeek-V3 是怎么实现的", "写一个 Llama 4 的vllm教程"). DO NOT TRIGGER when: user asks about non-vLLM models, general LLM questions without requesting a tutorial, or asks about vLLM features/modules rather than specific models.
shen-shanshan/vllm-dev-skills · ★ 16 · AI & Automation · score 80

Install: claude install-skill shen-shanshan/vllm-dev-skills

# vLLM Model Tutorial Generator Generate a comprehensive model technical tutorial document for a given model supported by vLLM. ## Workflow ### Step 1: Identify the Model Extract the model name from the user's request. Normalize common aliases: - "Qwen3-VL" / "Qwen3VL" → Qwen3-VL - "Qwen2.5-VL" → Qwen2.5-VL - "DeepSeek-V3" / "DSv3" → DeepSeek-V3 - "InternVL3" / "InternVL 3" → InternVL3 - "Llama 4" → Llama 4 - "GPT-OSS" → GPT-OSS If the model name is ambiguous, ask the user to clarify. ### Step 2: Research the Model Gather information from multiple sources. This is the most critical step — thorough research determines document quality. **2a. Find Technical Reports and Papers** Search for the model's official technical report, paper, or blog post: - Use WebSearch: `"{model_name} technical report arxiv"` or `"{model_name} paper"` - Use WebFetch to read the paper/report and extract architecture details, innovations, benchmarks - For model series: also find reports for predecessor models to build the evolution timeline **2b. Gather Model Family Information** Build the model family comparison context: - Search for the full model series evolution (e.g., Qwen-VL → Qwen2-VL → Qwen2.5-VL → Qwen3-VL) - For each variant: collect parameter counts, release dates, key innovations, performance benchmarks - Find HuggingFace and ModelScope links for each variant (search `huggingface.co/{model_id}`) - Collect technical report / paper links for each variant **2c. Analyze Model Archi