biren-brvllm
CommunityDeploy large-scale language models with efficient inference.
Authordongg622
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables efficient deployment and inference of large language models using the BIREN suinfer-llm engine, streamlining AI model serving workflows.
Core Features & Use Cases
- Model Deployment: Easily deploy models like Qwen and LLaMA on BIREN GPUs for online API services.
- Quantized Inference: Support INT8 and bf16 precision modes to reduce memory usage and improve inference speed.
- Use Case: A user wants to serve a 72-billion-parameter language model with low latency, utilizing multi-GPU distributed inference with distributed parallelism.
Quick Start
Set up the environment, prepare the model with optimized configurations, and launch the inference API server for real-time large model deployment.
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: biren-brvllm Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#biren-brvllm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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