# Structured output

A professional code generation model fine-tuned based on Qwen2.5, excelling in generating structurally complex and logically clear code with detailed explanations

A high-performance, multi-domain AI model built using MergeKit's Model Stock fusion technology, integrating multiple fine-tuned Qwen3-4B models, demonstrating exceptional reasoning, programming, and multi-step problem-solving capabilities in structured output and technical application scenarios.

The Monomer model is a collection of reasoning language models (RLMs) focused on planning, designing, and writing tasks in Chinese and English scenarios, providing clear step-by-step reasoning trajectories.

Qwen2.5 is the latest version of the Qwen large model series, a 0.5B parameter instruction-tuned model supporting 29+ languages and long-text generation.

Condor-Opus-14B-Exp is a large language model based on the Qwen 2.5 14B modal architecture, focusing on enhanced reasoning capabilities, supporting multilingual and long-context processing.

LoRA adapter trained based on GigaChat-20B-A3B model, specifically designed for simulating Russian logical thinking processes