# Edge device optimization

phi-2 is a text generation model employing IQ-DynamicGate ultra-low bit quantization (1-2 bits), suitable for natural language processing and code generation tasks.

An ultra-low bit quantized model optimized based on the Llama-3-8B architecture, utilizing IQ-DynamicGate technology for adaptive 1-2 bit precision quantization, suitable for memory-constrained environments.

OlympicCoder-32B is a code generation model based on Qwen2.5-Coder-32B-Instruct, employing IQ-DynamicGate ultra-low-bit quantization technology for efficient inference in memory-constrained environments.

EXAONE-Deep-32B is a 32B-parameter large language model supporting English and Korean, specifically designed for text generation tasks.

An 8B parameter model based on the Llama-3 architecture, optimized for memory usage with IQ-DynamicGate ultra-low bit quantization technology

A 7.8B-parameter model featuring ultra-low-bit quantization (1-2 bits) using IQ-DynamicGate technology, supporting English and Korean text generation tasks.

This is an instruction-tuned model based on Mistral-Small-3.1-24B-Base-2503, utilizing GGUF format and IQ-DynamicGate ultra-low bit quantization technology.

Qwen2.5-7B-Instruct-1M is an instruction-tuned version based on Qwen2.5-7B, employing IQ-DynamicGate ultra-low-bit quantization (1-2 bits), suitable for efficient inference in memory-constrained environments.

Llama-3.1-8B-Instruct is an instruction-tuned version based on Llama-3-8B, utilizing IQ-DynamicGate technology for ultra-low-bit quantization (1-2 bits), enhancing accuracy while maintaining memory efficiency.

Mistral-7B-Instruct-v0.2 is an instruction-tuned model based on the Mistral-7B architecture, supporting text generation tasks, optimized for memory efficiency using IQ-DynamicGate ultra-low bit quantization technology.

A fine-tuned reasoning model based on LLaMA-3B, enhanced with reasoning capabilities and multilingual processing support

Mini Agent-α is a lightweight AI agent trained on the Qwen2.5-Coder model series, specifically designed for edge devices, supporting Pythonic function calling methods.

A multi-label content moderation system built on the DistilBERT architecture for detecting and classifying potentially harmful content in user comments, featuring high accuracy and lightweight characteristics.

A micro Hindi-English mixed dialogue text completion model capable of conversing on daily life topics in Hinglish.