Prithwiraj731/Granite-3.1-2b-TwoWheeler
Prithwiraj731/Granite-3.1-2b-TwoWheeler is a 2 billion parameter language model fine-tuned from IBM Granite 3.1 2B Instruct. It is specialized in two-wheeler knowledge, including motorcycles, scooters, superbikes, and maintenance. The model provides expert advice on bike specifications, comparisons, and troubleshooting, making it suitable for automotive assistance applications.
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Model Overview
Prithwiraj731/Granite-3.1-2b-TwoWheeler is a specialized language model based on the IBM Granite 3.1 2B Instruct architecture, featuring 2 billion parameters and a 32K context length. It has been fine-tuned using Unsloth on a custom dataset focused exclusively on two-wheeler knowledge.
Key Capabilities
- Expert Two-Wheeler Knowledge: Provides detailed information on motorcycles, scooters, and superbikes.
- Technical Advice: Offers specifications, comparisons, and troubleshooting guidance for two-wheelers.
- Optimized for Specific Domain: Tailored to deliver accurate and relevant responses within the automotive two-wheeler sector.
Training Details
The model was fine-tuned using a full LoRA merge (16-bit) with Unsloth, focusing on a dataset covering technical specifications, riding comfort, mileage, and maintenance of two-wheelers. It is available in various formats, including the full merged model (model.safetensors) and quantized GGUF versions (Q4_K_M.gguf and F16.gguf) for efficient deployment.
Good for
- Automotive Assistants: Building chatbots or virtual assistants specializing in two-wheeler inquiries.
- Technical Support: Providing detailed information and troubleshooting steps for bike owners or enthusiasts.
- Comparison Tools: Generating comparisons between different two-wheeler models based on specifications and features.