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
Upload README.md with huggingface_hub
Browse files
README.md
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| [MiniMax-H3 Turbo](https://huggingface.co/infosave/MiniMax-H3-Turbo-cmf) | text → video **with sound**, 4 steps | 71.05 GB |
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| [LTX-2.5](https://huggingface.co/infosave/LTX-2.5-cmf) | text → video **with sound**, 21B DiT + audio VAE | 20.53 GB |
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| [Qwen3.8-27B](https://huggingface.co/infosave/Qwen3.8-27B-cmf) | dense, q4tp | 14.44 GB |
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Every one of them runs from the same binary: `cortiq run` for the text
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models, `cortiq imagine` for Lumina, `cortiq animate` for MiniMax-H3, `cortiq ltx-video` for LTX-2.5.
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| 97 |
| [MiniMax-H3 Turbo](https://huggingface.co/infosave/MiniMax-H3-Turbo-cmf) | text → video **with sound**, 4 steps | 71.05 GB |
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| 98 |
| [LTX-2.5](https://huggingface.co/infosave/LTX-2.5-cmf) | text → video **with sound**, 21B DiT + audio VAE | 20.53 GB |
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| [Qwen3.8-27B](https://huggingface.co/infosave/Qwen3.8-27B-cmf) | dense, q4tp | 14.44 GB |
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| [Qwen3.8-Flash-Next](https://huggingface.co/infosave/Qwen3.8-Flash-Next-cmf) | 176.9B hybrid MoE/PLE, mixed q4tp + q8_2f | 97.12 GB |
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| [Granite 4.2 — 3B/8B/30B](https://huggingface.co/infosave/Granite-4.2-cmf) | dense reasoning family, q4tp + q8_2f | 2.17–29.31 GB |
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Every one of them runs from the same binary: `cortiq run` for the text
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models, `cortiq imagine` for Lumina, `cortiq animate` for MiniMax-H3, `cortiq ltx-video` for LTX-2.5.
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