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README.md
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### **review**
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- use tag/word(s) as input for more accurate results for those legacy models; not very convenient (compare to the recent models) at the very beginning
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- credits should be given to those contributors from civitai platform
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- **fast-illustrious gguf** was quantized from **fp8** scaled safetensors while **illustrious gguf** was quantized from the original **bf16** (this is just an attempt to test: is it true? the trimmed model with 50% tensors lesser really load faster? please test it yourself; btw, some models might have their unique structure/feature affecting the loader
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- fp8 scaled file works fine in this model; including vae and clips
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- good to run on old machines, i.e., 9xx series or before (legacy mode [--disable-cuda-malloc --lowvram] supported); compatible with the new gguf-node
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- **disclaimer**: some models (original files) are provided by someone else and we might not easily spot out the creator/contributor(s) behind; if it is your work, do let us know; we will address it back properly and probably; thanks for everything
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### **review**
|
51 |
- use tag/word(s) as input for more accurate results for those legacy models; not very convenient (compare to the recent models) at the very beginning
|
52 |
- credits should be given to those contributors from civitai platform
|
53 |
+
- **fast-illustrious gguf** was quantized from **fp8** scaled safetensors while **illustrious gguf** was quantized from the original **bf16** (this is just an attempt to test: is it true? the trimmed model with 50% tensors lesser really load faster? please test it yourself; btw, some models might have their unique structure/feature affecting the loader performance, never one size fits all)
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54 |
- fp8 scaled file works fine in this model; including vae and clips
|
55 |
- good to run on old machines, i.e., 9xx series or before (legacy mode [--disable-cuda-malloc --lowvram] supported); compatible with the new gguf-node
|
56 |
- **disclaimer**: some models (original files) are provided by someone else and we might not easily spot out the creator/contributor(s) behind; if it is your work, do let us know; we will address it back properly and probably; thanks for everything
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