marcelbelato/monyfai-coder
The marcelbelato/monyfai-coder is a 14 billion parameter language model, fine-tuned and converted to GGUF format using Unsloth. This model is optimized for code-related tasks, leveraging its Qwen3 architecture for efficient processing. It is designed for easy deployment with included Ollama Modelfiles, making it suitable for local development and integration into coding workflows.
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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_MandQ4_K_Mquantization 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.