# Lightweight Large Model

This is a 4-bit quantized version converted from the Qwen3-Embedding-4B model, optimized for the MLX framework

Qwen3-0.6B is a lightweight large language model converted to ONNX format for web-based usage.

This is a 4-bit quantized version converted from the Qwen/Qwen3-0.6B model, suitable for efficient inference on the MLX framework.

This is a model for converting image text to text. It is a quantized version based on google/gemma-3-4b-pt, aiming to make knowledge accessible to the public.

MiniCPM-o 2.6 is a multimodal model that supports vision and language tasks, specifically designed for llama.cpp.

A Korean-optimized version based on Google's Gemma-2-9b-it model, developed by Saltware, suitable for Korean natural language processing tasks.

Gemma is Google's lightweight cutting-edge open model series, built with the same technology as Gemini, suitable for various text generation tasks.

Gemma is a series of lightweight open large language models launched by Google, built on the same technology used to create Gemini models, suitable for various text generation tasks.

Gemma is a lightweight open model series launched by Google, built on the same technology as Gemini, suitable for various text generation tasks.

MindLLM 1.3B is a 1.3 billion-parameter Transformer model jointly developed by the Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Applications and the Southeast Institute of Information Technology, Beijing Institute of Technology, supporting Chinese and English dialogue generation.