Instructions to use infosave/cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/cmf 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/cmf --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
Commit History
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Upload README.md with huggingface_hub
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which quantization to take, and what each costs
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link the format guide
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link the mobile app; index LTX-2.5 and Qwen3.8-27B
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spec: LOOP_MASKS (bit 5) + SKILL_FILE (bit 6) + §9.1 standalone skill files
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spec: LOOP_MASKS (bit 5) + SKILL_FILE (bit 6) + §9.1 standalone skill files
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spec: LOOP_MASKS (bit 5) + SKILL_FILE (bit 6) + §9.1 standalone skill files
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links that only resolve on GitHub now point at GitHub
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the spec in all three languages, links repaired
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card: this repo is the spec, not a model — no library_name
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the format's front page and its normative spec
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initial commit
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