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infosave
/
Qwen3.8-Flash-Next-Fast-Code-cmf

Text Generation
cortiq
English
Russian
Chinese
cmf
quantized
q4tp
Mixture of Experts
code
expert-pruning
speculative-decoding
vulkan
cuda
Model card Files Files and versions
xet
Community

Instructions to use infosave/Qwen3.8-Flash-Next-Fast-Code-cmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • cortiq

    How to use infosave/Qwen3.8-Flash-Next-Fast-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/Qwen3.8-Flash-Next-Fast-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
Qwen3.8-Flash-Next-Fast-Code-cmf
66.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
infosave's picture
infosave
Card: Chinese section links
e685d2f verified about 23 hours ago
  • assets
    Card by backend: CUDA (12 GB and up) and Vulkan (48 GB and up) as separate sections, one figure per stand about 23 hours ago
  • .gitattributes
    2.36 kB
    Card by backend: CUDA (12 GB and up) and Vulkan (48 GB and up) as separate sections, one figure per stand about 23 hours ago
  • README.md
    40.2 kB
    Card: Chinese section links about 23 hours ago
  • fast-code.profile
    49.2 kB
    Upload fast-code.profile with huggingface_hub 4 days ago
  • qwen38-flash-next-fast-code.cmf
    66.8 GB
    xet
    Upload qwen38-flash-next-fast-code.cmf with huggingface_hub 4 days ago
  • qwen38-flash-next-fast-code.cmf.sha256
    98 Bytes
    Upload qwen38-flash-next-fast-code.cmf.sha256 with huggingface_hub 4 days ago