yulddo/maketing-v6
The yulddo/maketing-v6 model is a 3.1 billion parameter instruction-tuned language model, based on the Qwen2.5-3B-Instruct architecture. It was fine-tuned and converted to GGUF format using Unsloth, enabling faster training and efficient deployment. This model is optimized for general language tasks and is available in a quantized Q4_K_M GGUF variant, suitable for local inference.
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Overview
The yulddo/maketing-v6 model is an instruction-tuned language model, specifically a 3.1 billion parameter variant of the Qwen2.5-3B-Instruct architecture. It has been fine-tuned and converted into the GGUF format, a process facilitated by Unsloth, which is noted for enabling significantly faster training.
Key Features
- Architecture: Based on the Qwen2.5-3B-Instruct model.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and resource efficiency.
- Format: Provided in GGUF format, specifically
qwen2.5-3b-instruct.Q4_K_M.gguf, which is optimized for local inference with quantization. - Training Efficiency: Fine-tuned with Unsloth, resulting in 2x faster training times.
- Deployment: Includes an Ollama Modelfile for straightforward deployment and usage.
Use Cases
This model is suitable for various general language understanding and generation tasks, particularly where efficient local deployment and inference are desired due to its GGUF format and optimized quantization.