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throsturx
/
bihmoe-poc

PyTorch
Transformers
English
research
mixture-of-experts
interpretability
Model card Files Files and versions
xet
Community

Instructions to use throsturx/bihmoe-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use throsturx/bihmoe-poc with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("throsturx/bihmoe-poc", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bihmoe-poc / docs
11.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Throstur
meta: add contributing/roadmap/citation/architecture notes
61cc313 5 months ago
  • 00_north_star.md
    1.36 kB
    docs: add North Star and early-kill criteria 5 months ago
  • 01_architecture.md
    2.22 kB
    docs: freeze PoC skeleton (arch/tasks/compute/protocol) + artifact policy 5 months ago
  • 02_tasks.md
    1.09 kB
    docs: freeze PoC skeleton (arch/tasks/compute/protocol) + artifact policy 5 months ago
  • 03_compute_matching.md
    1.92 kB
    probe: unify CLS objective + add compute-matching helper 5 months ago
  • 04_experiment_protocol.md
    998 Bytes
    docs: freeze PoC skeleton (arch/tasks/compute/protocol) + artifact policy 5 months ago
  • 05_training_harness.md
    661 Bytes
    probe: add minimal dense + structured models and VRAM probe script 5 months ago
  • ARCHITECTURE.md
    474 Bytes
    meta: add contributing/roadmap/citation/architecture notes 5 months ago
  • preliminary_results.md
    2.75 kB
    docs: add preliminary results + reproducible 4k panel config/scripts 5 months ago