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
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
Browse files- .gitattributes +1 -0
- experiments/nanbeige42-code.skill.cmf +3 -0
.gitattributes
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experiments/nanbeige42-gfx-pervisit-skill.cmf filter=lfs diff=lfs merge=lfs -text
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experiments/nanbeige42-gfx-pervisit-skill-v2.cmf filter=lfs diff=lfs merge=lfs -text
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experiments/nanbeige42-code.skill.cmf
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version https://git-lfs.github.com/spec/v1
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oid sha256:5952c01c1ca383a392500e87e4520486f135bb0dacfb4a5c10e1a8a63b4b0936
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size 557475831
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