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infosave
/
Nanbeige4.2-3Bcmf

Text Generation
cortiq
cmf
nanbeige
looped-transformer
reasoning
quantized
Model card Files Files and versions
xet
Community

Instructions to use infosave/Nanbeige4.2-3Bcmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • cortiq

    How to use infosave/Nanbeige4.2-3Bcmf with cortiq:

    # one Rust binary, no additional dependencies
    cargo install cortiq-cli   # or a prebuilt binary from github.com/infosave2007/cmf/releases
    hf download infosave/Nanbeige4.2-3Bcmf --include "*.cmf" --local-dir .
    ls *.cmf                   # some repos ship more than one quantization
    cortiq run FILE.cmf --prompt "What is the capital of France?"
    cortiq serve FILE.cmf --port 8080   # OpenAI-compatible server
  • Notebooks
  • Google Colab
  • Kaggle
Nanbeige4.2-3Bcmf
8.56 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
infosave's picture
infosave
Add Cortiq model metadata
b5807ff verified 3 days ago
  • experiments
    gfx skill FINAL: masked runtime gate -5.1% vs backbone (3.974/4.187), replica 3.923; trained masters in q8_row; apply: cortiq skill apply nanbeige42-3b-q4t.cmf nanbeige42-gfx.skill.cmf -o gfx.cmf 3 months ago
  • .gitattributes
    1.89 kB
    coding skill (557 MB delta): masked replica -2.2% vs backbone (9.529/9.746), bare runtime gate +7.7% (mask not yet applied on quantized storage); phase A bottom uncaptured at 150 steps - a longer A will deepen it. apply: cortiq skill apply nanbeige42-3b-q4t.cmf nanbeige42-code.skill.cmf -o code.cmf 3 months ago
  • README.md
    4.09 kB
    Add Cortiq model metadata 3 days ago
  • nanbeige42-3b-q4t.cmf
    2.36 GB
    xet
    Upload nanbeige42-3b-q4t.cmf with huggingface_hub 3 months ago