Text Generation
cortiq
English
Chinese
cmf
quantized
q2tp
q4tp
mixed-precision
Mixture of Experts
hybrid-attention
2-bit
4-bit precision
Instructions to use infosave/GLM-5.3-Flash-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- cortiq
How to use infosave/GLM-5.3-Flash-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/GLM-5.3-Flash-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
Add GLM-5.3-Flash Q2TP CMF
Browse files- .gitattributes +1 -0
- glm-5.3-flash-q2tp.cmf +3 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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glm-5.3-flash-q4tp.cmf filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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glm-5.3-flash-q4tp.cmf filter=lfs diff=lfs merge=lfs -text
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glm-5.3-flash-q2tp.cmf filter=lfs diff=lfs merge=lfs -text
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glm-5.3-flash-q2tp.cmf
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version https://git-lfs.github.com/spec/v1
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oid sha256:818d997b7c19dd0da1b3424ed12d869e8ff6fc4a187154c23b08f2efc4198cde
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size 116254068322
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