ixformer
CommunityAccelerate large-model inference on国产芯片 with optimized framework.
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enhances the deployment and inference speed of large language models on国产芯片 by providing optimized acceleration techniques.
Core Features & Use Cases
- Model Deployment Optimization: Supports deploying models like LLaMA, Qwen, and Baichuan with improved throughput.
- Inference Acceleration: Implements techniques such as PagedAttention, KV Cache reuse, and Continuous Batching to boost performance.
- Use Case: Enable a Chinese AI enterprise to deploy a 7B parameter model on国产硬件 for real-time chatbot services with minimal latency.
Quick Start
Use the ixformer skill to run a high-performance LLM inference service on the specified device and model.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: ixformer Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#ixformer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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