ProsePal Finetuner is a versatile tool designed for fine-tuning language models on your custom datasets. This tool enables users to adapt language models to their specific needs, enhancing the model's performance on domain-specific texts.

• Ebook Conversion: Convert your ebooks to a compatible format for fine-tuning.
• Custom Training: Fine-tune language models using your text files.
• Training Status Check: Monitor the status of your fine-tuning process.
• Download Fine-tuned Model: Download your fine-tuned model for local use.

Navigate to the root URL to access the landing page of the ProsePal Finetuner tool.

Access detailed instructions on how to use the tool by navigating to /finetune/instructions.

Read our privacy policy and terms of service at /privacy and /terms, respectively.

For support or inquiries, visit /contact-us to send us a message. We validate emails for format, deliverability, and SMTP to ensure communication reliability.

Convert your ebook files to a text format suitable for fine-tuning by accessing /convert-ebook. We support various file types, including EPUB, PDF, DOCX, and plain text.

Start the fine-tuning process by navigating to /finetune. Upload your text files and specify your requirements. Ensure your files are in UTF-8 format and within the size limits.

To check the status of your fine-tuning job, send a POST request to /status with your user folder's name.

Once fine-tuning is complete, download your model from /download/<path>, where <path> is the path to your model file.

We welcome contributions to the ProsePal Finetuner tool. Please feel free to submit issues and pull requests.

ProsePal Finetuner is open-sourced under the MIT license. See the LICENSE file for more details.