monyfai-coder Overview

The monyfai-coder is a 14 billion parameter language model based on the Qwen3 architecture, specifically fine-tuned for coding applications. It has been converted to the GGUF format, making it compatible with tools like llama.cpp for efficient local execution.

Key Characteristics

• Architecture: Qwen3-14B base model.
• Parameter Count: 14 billion parameters.
• Format: Available in GGUF format, including Q5_K_M and Q4_K_M quantization levels.
• Optimization: Fine-tuned using Unsloth, which facilitated a 2x faster training process.
• Deployment: Includes an Ollama Modelfile for streamlined deployment and usage.

Intended Use Cases

This model is particularly well-suited for developers and applications requiring a capable code-focused LLM that can be run efficiently on local hardware. Its GGUF format and Ollama support simplify integration into development environments for tasks such as code generation, completion, and analysis.