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[!IMPORTANT] Quantization process:
For future reference, these quants have been done after the fixes from #6920 have been merged.
Imatrix data was generated from the FP16-GGUF and conversions directly from the BF16-GGUF.
This was a bit more disk and compute intensive but hopefully avoided any losses during conversion.
If you noticed any issues let me know in the discussions.
[!NOTE] General usage:
Use the latest version of KoboldCpp.
Remember that you can also use--flashattentionon KoboldCpp now even with non-RTX cards for reduced VRAM usage.
For 8GB VRAM GPUs, I recommend the Q4_K_M-imat quant for up to 12288 context sizes.
For 12GB VRAM GPUs, the Q5_K_M-imat quant will give you a great size/quality balance.Resources:
You can find out more about how each quant stacks up against each other and their types here and here, respectively.Presets:
Some compatible SillyTavern presets can be found here (Hathor Presets) or here (Virt's Roleplay Presets).
[!TIP] Personal-support:
I apologize for disrupting your experience.
Currently I'm working on moving for a better internet provider.
If you want and you are able to...
You can spare some change over here (Ko-fi).Author-support:
You can support the author at their own page.

