ArxhAI/Arxh-2.29-12B-it

<div align="center"> <h1>Arxh 2.29 12B</h1> <p><strong>An open-source foundation model for reasoning, coding, and intelligent workflows.</strong></p> </div>

<p align="center"> <b>License</b>: Apache 2.0 | <b>Model Family</b>: Arxh | <b>Type</b>: Open-source Large Language Model </p>

Arxh 2.29 14B is a high-performance open-source language model designed for advanced reasoning, technical assistance, code generation, and real-world problem solving. Built as a core model for the Arxh ecosystem, it aims to combine strong capability, clean behavior, and practical deployment efficiency in a form that is accessible to developers, researchers, and the wider open-source community.

Arxh 2.29 14B is engineered to deliver reliable performance across a broad range of language tasks, including structured reasoning, conversational assistance, summarization, rewriting, code understanding, and tool-oriented workflows. The model is intended to serve as a versatile foundation for building intelligent systems that are both capable and adaptable.

Rather than focusing only on fluent text generation, Arxh is designed with an emphasis on useful behavior: following instructions carefully, maintaining clarity in responses, supporting analytical thinking, and integrating naturally into agentic and retrieval-augmented systems.

Design Goals

Arxh 2.29 14B is built around a few core principles:

• —Strong instruction following
• —Clear, structured, and professional responses
• —Reliable reasoning and analytical performance
• —Practical coding and technical support
• —Compatibility with tool-using and retrieval-based systems
• —Flexibility for fine-tuning, experimentation, and deployment

Core Capabilities

• —Instruction following
• —Reasoning and problem solving
• —Code generation and debugging
• —Summarization and rewriting
• —Multiturn conversation
• —Tool use and agent workflows
• —Retrieval-augmented generation support
• —Domain-specific adaptation through fine-tuning

Intended Usage

Arxh 2.29 14B is designed for:

• —Open-source assistant development
• —Local and cloud deployment
• —Research and experimentation
• —Fine-tuning for specialized domains
• —Developer tools and productivity applications
• —Agentic AI systems
• —Knowledge-assisted workflows

Project Vision

Arxh is intended to grow into a family of open models focused on practical intelligence, developer productivity, and accessible AI innovation. The long-term vision is to create a reliable open-source ecosystem where users can build assistants, coding tools, research systems, and autonomous workflows on top of a strong foundation model.

The Arxh project aims to balance openness, capability, and usability so that the model remains useful not only in research environments, but also in real-world applications.

Notes

This repository is part of the broader Arxh model family and may evolve over time through post-training, instruction refinement, domain adaptation, and community-driven improvement.