Text Generation
cortiq
English
Russian
Chinese
cmf
quantized
q4tp
Mixture of Experts
code
expert-pruning
speculative-decoding
vulkan
cuda
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
Commit History
Yesterday
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Card: Chinese section links
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Card by backend: CUDA (12 GB and up) and Vulkan (48 GB and up) as separate sections, one figure per stand
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Card: plain Chinese troubleshooting line
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Card: requirements, install, run and settings for every card; no aquarium
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cortiq 0.8.78: cards from 12 GB at 91-97 % of Strata Coder with 4-bit experts
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CUDA on cards from 12 GB: 105 / 118 / 133 tok/s within 12 / 16 / 24 GB
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4 days ago
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Card: the task-aware cut (fcaq256), aquarium page, new figures
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