awq-quantization - AI Research Skills
by Orchestra Research
Cross-platformSkillskillai-researchAI-Research-SKILLs-main
Description
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.
Type
Skill
Ecosystem
Cross-platform
Trust Score
85%
Related Skills
Stable Diffusion WebUI
Feature-rich web interface for Stable Diffusion image generation by AUTOMATIC1111.
Cross-platformai-tool
LangChain
Comprehensive framework for building LLM-powered applications with chains, agents, and retrieval.
Cross-platformframework
LobeChat
Modern, extensible AI chat framework with plugin ecosystem and multi-model support.
Cross-platformopen-source
Open WebUI
Self-hosted web UI for LLMs with multi-model support, RAG, and plugin system.
Cross-platformopen-source