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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
104 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 33 commits
Throstur
meta: add contributing/roadmap/citation/architecture notes
61cc313 5 months ago
  • configs
    docs: add preliminary results + reproducible 4k panel config/scripts 5 months ago
  • docs
    meta: add contributing/roadmap/citation/architecture notes 5 months ago
  • runs
    docs: freeze PoC skeleton (arch/tasks/compute/protocol) + artifact policy 5 months ago
  • scripts
    docs: add preliminary results + reproducible 4k panel config/scripts 5 months ago
  • src
    arch: add chiasm_mode=bias to avoid global-branch starvation 5 months ago
  • .gitignore
    308 Bytes
    head: make models query-aware (last-token readout) + trainer update 5 months ago
  • CITATION.cff
    346 Bytes
    meta: add contributing/roadmap/citation/architecture notes 5 months ago
  • CONTRIBUTING.md
    1.02 kB
    meta: add contributing/roadmap/citation/architecture notes 5 months ago
  • README.md
    1.03 kB
    hf: add model card metadata (license/tags) 5 months ago
  • ROADMAP.md
    725 Bytes
    meta: add contributing/roadmap/citation/architecture notes 5 months ago
  • pyproject.toml
    418 Bytes
    bag: bihmoe-bag_20260222-030013 (snapshot) 5 months ago
  • requirements-core.txt
    30 Bytes
    probe: add minimal dense + structured models and VRAM probe script 5 months ago
  • uv.lock
    18.7 kB
    bag: bihmoe-bag_20260222-030013 (snapshot) 5 months ago