Asteroid
agent
chemistry
biology
finance
legal
music
art
code
climate
medical
Not-For-All-Audiences
text-generation-inference
Merge
Mixture of Experts
Instructions to use fractaldactal/Argo.AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use fractaldactal/Argo.AI with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("fractaldactal/Argo.AI") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| datasets: | |
| - OpenResearcher/OpenResearcher-Dataset | |
| - ronantakizawa/github-top-code | |
| - peteromallet/dataclaw-peteromallet | |
| language: | |
| - en | |
| - ar | |
| - ka | |
| - ml | |
| metrics: | |
| - accuracy | |
| - character | |
| - bertscore | |
| base_model: | |
| - nvidia/personaplex-7b-v1 | |
| - Qwen/Qwen3.5-397B-A17B | |
| new_version: Qwen/Qwen3.5-397B-A17B | |
| library_name: asteroid | |
| tags: | |
| - agent | |
| - chemistry | |
| - biology | |
| - finance | |
| - legal | |
| - music | |
| - art | |
| - code | |
| - climate | |
| - medical | |
| - not-for-all-audiences | |
| - text-generation-inference | |
| - merge | |
| - moe | |