sadecebirisii/Qwen2.5-3B-Turkish-Judge-Pilot
The sadecebirisii/Qwen2.5-3B-Turkish-Judge-Pilot is a 3.1 billion parameter language model based on the Qwen2.5 architecture, fine-tuned and converted to GGUF format using Unsloth. This model is specifically optimized for Turkish language tasks, leveraging its Qwen2.5 foundation for efficient processing. It is designed for deployment in environments supporting GGUF, including Ollama, making it suitable for Turkish-centric applications requiring a compact yet capable LLM.
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Overview
The sadecebirisii/Qwen2.5-3B-Turkish-Judge-Pilot is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. It has been fine-tuned and subsequently converted into the GGUF format, a process facilitated by Unsloth, which also enabled a 2x faster training speed.
Key Characteristics
- Architecture: Based on the Qwen2.5 model family.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
- Format: Provided in GGUF format, ensuring compatibility with various inference engines like
llama-cliandllama-mtmd-cli. - Optimization: Fine-tuned for specific tasks, indicated by "Turkish-Judge-Pilot" in its name, suggesting an emphasis on Turkish language understanding or judgment-related applications.
- Deployment: Includes an Ollama Modelfile for straightforward deployment and integration into local LLM setups.
Available Files
The model is distributed with two GGUF quantized versions:
qwen2.5-3b-instruct.Q8_0.ggufqwen2.5-3b-instruct.Q4_K_M.gguf
Good For
- Turkish Language Applications: Ideal for use cases requiring a capable language model specifically tailored for Turkish text.
- Local Inference: Suitable for deployment on consumer hardware or edge devices due to its GGUF format and relatively compact size.
- Experimentation: Developers looking to integrate a fine-tuned Qwen2.5 model with easy Ollama deployment for Turkish NLP tasks.