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https://github.com/agnostiqhq/tutorials_covalent_pycon_2024

https://github.com/agnostiqhq/tutorials_covalent_pycon_2024

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.5%) to scientific vocabulary

Keywords

agents ai ai-foundry autonomous-agents chatgpt covalent gpu hpc huggingface large-language-models llama llamacpp llm ml vllm
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: AgnostiqHQ
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://www.covalent.xyz/
  • Size: 2.03 MB
Statistics
  • Stars: 2
  • Watchers: 5
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
agents ai ai-foundry autonomous-agents chatgpt covalent gpu hpc huggingface large-language-models llama llamacpp llm ml vllm
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Zero-Data AI Model Foundry

This repository contains a Covalent Cloud Jupyter notebook that creates an AI model foundry for zero-data fine-tuning.

Zero-Data AI Model Foundry

Context

The example here was prepared for PyCon 2024 in Pittsburgh, PA.

Instructions

To follow along

Open the Jupyter notebook in your browser (or in an IDE).

jupyter notebook zero-data-model-foundry.ipynb

To run the notebook

Running the notebook requires a Covalent Cloud account.

  1. Log in and copy your API key from the Covalent Cloud dashboard. Paste the key as the value CC_API_KEY in the environment.yml file.

  2. Create a conda environment using the environment.yml file.

conda env create -f environment.yml

  1. Active the environment.

conda activate covalent-pycon-2024

  1. Open the Jupyter notebook in your browser (or in an IDE).

jupyter notebook zero-data-model-foundry.ipynb

Owner

  • Name: Agnostiq
  • Login: AgnostiqHQ
  • Kind: organization
  • Email: contact@agnostiq.ai
  • Location: Toronto

Developing Software for Advanced Computing

GitHub Events

Total
Last Year

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 16
  • Total Committers: 2
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.063
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Ara Ghukasyan a****a@a****i 15
Santosh kumar 2****a 1
Committer Domains (Top 20 + Academic)
agnostiq.ai: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Dependencies

environment.yml pypi
  • covalent-cloud ==0.65.1
  • datasets ==2.18.0
  • ipywidgets ==8.1.2
  • peft ==0.10.0
  • torch ==2.2.2
  • transformers ==4.39.3
  • trl ==0.8.1