rippertnt/HyperCLOVAX-SEED-Text-Instruct-1.5B-Q4_K_M-GGUF
🧠 AI Modelrippertnt
A lightweight, quantized GGUF version of Naver's HyperCLOVAX-SEED-Text-Instruct 1.5B model for efficient local deployment.
This repository provides a quantized GGUF implementation of the HyperCLOVAX-SEED-Text-Instruct 1.5B model. The original model, developed by Naver, is a compact language model designed for instruction-following tasks. The conversion to GGUF format using the Q4_K_M method balances model size and inference accuracy, allowing the model to run on systems with limited VRAM or RAM. This format is natively supported by llama.cpp, Ollama, and various other inference engines, enabling seamless integration into local applications. The 1.5B parameter count ensures fast response times, making it suitable for real-time conversational agents, text summarization, and lightweight NLP tasks where latency is a critical factor.
💡Highlights
- ├─1.5B parameters for low latency
- ├─Q4_K_M quantization for efficiency
- └─Native GGUF support for llama.cpp
🎯For
- ├─Edge AI Developers
- ├─NLP Researchers
- └─Local Inference Enthusiasts