Instructions to use infosave/Kimi-Linear-48B-A3B-Code-CMF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/Kimi-Linear-48B-A3B-Code-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/Kimi-Linear-48B-A3B-Code-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
Download kimi48-code.cmf from infosave/Kimi-Linear-48B-A3B-Code-CMF: direct link, hf CLI and curl.
- Browser
- Download file 17.7 GB
-
https://huggingface.co/infosave/Kimi-Linear-48B-A3B-Code-CMF/resolve/main/kimi48-code.cmf
- Command line
-
hf download hf://infosave/Kimi-Linear-48B-A3B-Code-CMF/kimi48-code.cmf
-
curl -L -o kimi48-code.cmf https://huggingface.co/infosave/Kimi-Linear-48B-A3B-Code-CMF/resolve/main/kimi48-code.cmf
17.7 GB
- Xet hash:
- 000bde0801e006b40ebc7950537818e4465bd00f84bd751fd70768510f55e85a
- Size of remote file:
- 17.7 GB
- SHA256:
- 8b8801ac01024934562c37960bafe5836c28a335e94d8b34bd6b7616fc8dc813
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