# Efficient text generation

A quantized model based on DeepSeek-R1-0528, focusing on text generation tasks and providing a more efficient way of use.

A large language model based on the Gemma architecture, specialized in Turkish text generation tasks.

The quantized version of Huihui AI's Qwen3-4B model, aiming to make knowledge more widely accessible to the public.

Qwen3-1.7B-4bit is a 4-bit quantized version of the Tongyi Qianwen 1.7B model, which has been converted to the MLX framework format for efficient operation on Apple Silicon devices.

Bamba-9B-v2 is a decoder-only language model built on the Mamba-2 architecture, focusing on text generation tasks and outperforming Llama 3.1 8B in performance.

A quantized version of Tessa - Rust - T1 - 7B, quantized using the llama.cpp tool, supporting efficient operation under different hardware conditions.

A fine-tuned model based on the Transformer architecture, which performs excellently in question-answering and text generation tasks, providing an accurate and efficient language interaction experience.

An innovative quantization solution that achieves smaller model size while maintaining high performance through mixed-precision quantization.

QwQ-32B is a 32B-parameter large language model based on the Qwen2 architecture, processed with 4-bit integer quantization using the GPTQ method, suitable for efficient text generation tasks.

This project provides multiple GGUF matrix quantization versions of the Steelskull/L3.3-Electra-R1-70b model, effectively improving the model's operating efficiency and performance in different hardware environments.

0x Mini is a lightweight language model developed by Ozone AI, optimized based on the Llama-3.1 architecture, providing efficient text generation capabilities

Fikri is a language model specifically tailored for Turkish language tasks, based on the Llama 3.1 architecture with 8 billion parameters.

Mistral 7B is a large language model launched by Mistral AI with 7 billion parameters. It is designed for high efficiency and performance and is suitable for real-time application scenarios that require quick responses.

GGUF format quantized model based on abacusai/Llama-3-Smaug-8B, supporting 2-8 bit quantization levels, suitable for text generation tasks

GIGABATEMAN-7B is a 7B-parameter large language model based on the Mistral architecture, focusing on text generation tasks.

Mamba is an efficient language model based on the State Space Model (SSM), with the ability to model sequences with linear time complexity.