# Dynamic precision allocation

Dans-PersonalityEngine-V1.3.0-24b is a multi-functional model series that has been fine-tuned on more than 50 professional datasets and supports multilingual and professional domain tasks.

Quantized version of Qwen3-8B, utilizing IQ-DynamicGate ultra-low bit quantization technology to optimize memory efficiency and inference speed

Qwen3-30B-A3B is a large language model based on Qwen3-30B-A3B-Base, supporting text generation tasks, optimized for memory efficiency with ultra-low-bit quantization technology.

Qwen3-14B is a GGUF format model generated from Qwen/Qwen3-14B-Base, supporting text generation tasks and optimized for memory efficiency using IQ-DynamicGate ultra-low-bit quantization technology.

GLM-Z1-9B-0414 is a bilingual text generation model supporting both Chinese and English, utilizing the GGUF format and suitable for various quantization levels, from BF16 to ultra-low-bit quantization (1-2 bits).

OlympicCoder-7B is a code generation model optimized based on Qwen2.5-Coder-7B-Instruct. It uses the IQ-DynamicGate ultra-low bit quantization technology and is designed for memory-constrained environments.

The GLM-4-32B-0414 GGUF model is a series of powerful text generation models with various quantization formats, suitable for different hardware and memory conditions.

Ultra-low-bit quantization (1-2 bits) language model using IQ-DynamicGate technology, suitable for memory-constrained environments

Ultra-low-bit quantization (1-2 bit) large language model using IQ-DynamicGate technology, supporting multilingual text 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.

An ultra-low-bit (1-2 bit) quantized model based on Llama-3.1-70B, utilizing IQ-DynamicGate technology for adaptive precision quantization, enhancing accuracy while maintaining memory efficiency.

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.

GGUF quantized version of Gemma 3 with 27B parameters, supporting image-text interaction tasks

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.

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.