calcuis/cow-encoder

🐮cow architecture gguf encoder

• —don't need to rebuild tokenizer from metadata ⏳🥊
• —don't need separate tokenizer file 🐱🥊
• —no more oom issues (possibly) 💫💻🥊

eligible model example

• —use cow-mistral3small 7.73GB for flux2-dev
• —use cow-gemma2 2.33GB for lumina
• —use cow-umt5base 451MB for ace-audio
• —use cow-umt5xxl 3.67GB for wan-s2v or any wan video model

the example workflow above is from wan-s2v-gguf; cow encoder is a special designed clip, even the lowest q2 quant still working very good; upgrade your node for cow-encoder support🥛🐮 and do drink more milk

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reference

• —gguf-node (pypi|repo|pack)