Unlock the Power of AI with Ollama and Hugging Face

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AI Summary

Summary of Video Transcript

• Introduction to Olama and Hugging Face Integration:
  • Olama allows running large language models on various operating systems.
  • Hugging Face offers a vast collection of models.
  • It’s now easier to install GDF models from Hugging Face onto Olama.
• Steps to Use a Model from Hugging Face with Olama:
  1. Locate a GDF model on Hugging Face.
  2. Copy the model name from the Hugging Face page.
  3. In the terminal, execute olar run hf.com to run the model.
  4. If the model has the correct metadata (tokenizer, chatore template, etc.), it should work without issues.
  5. If there’s weird output, a model file may need to be created to correct the template.
• Additional Tips and Information:
  • If a model has multiple quantizations, specify the desired one using a colon and the quantization label.
  • Models can be removed with olama rf followed by the repo name.
  • To create a new model with modifications, create a model file with the desired changes and use ol create with the new model file.
  • The Olama CLI should work with any UI that uses the Olama API, such as Page Assist Chrome extension.
• Understanding the File System Changes:
  • New registry listed in the myama/models/manifests directory.
  • The latest manifest describes the model layers.
  • SHA-256 strings in the manifest correspond to model weights in mod blobs.
  • Running a model downloads a new manifest, but layers with the same SHA-256 won’t need to be re-downloaded unless updated.
• Limitations:
  • Models requiring login, license acceptance, or private models cannot use this new process and must be imported using the old method.
  • Templates may need to be found and specified manually if not included in the model weights file.
• Checking for Templates in Model Weights File:
  • Look for a button with two G’s next to the GDF file on Hugging Face.
  • The template might be in Ginger 2 format, while Olama uses Go templates.
  • Model creators can add a template file in Go format, a system file for system prompts, and a params file for parameters.
• Conclusion:
  • Hugging Face may have created a new Olama registry for seamless integration.
  • This integration could resolve many issues related to adding models to the Olama registry.
  • Viewers are invited to share models they’re excited to try with this new process.

Note

• No detailed instructions such as CLI commands, website URLs, or specific tips were provided in the transcript excerpt.