I'm just tinkering. All credit to the original creators: Noromaid is hot.

"rpcal" designates that this model was quantized using an RP-specific data set instead of the standard llama data set.
I have been unable to quantify real differences in the same model "compressed" using these two different methods. My current theory is that it gives "good responses" just as often as a similarly quantized model, however, good responses are "subjectively better" with this method. Any help quantifying this would be appreciated. Anyone know Ayumi?

This model: EXL2 @ 3.5 bpw using RP data for calibration.
This was requested here.

(Personal SillyTavern settings included in the "ST" directory. Your mileage may vary.)

Disclaimer:

This model is experimental, do not expect everything to work.

This model uses the Chatml prompting format

Beeg noromaid on steroids. Suitable for RP, ERP.

This model was trained on the Zloss fork of Charles, and should fix issue the model had.

Use Chatml prompt format, but not the special token.

The reason is that Axolotl merge the finetune with the base model at 1.0 weight basically, but this is too much, so I use another script available HERE to merge with less weight, sadly, it don't take the special Chatml token. It's like Orca2 for the matter.

Credits:

Undi
IkariDev

Description

This repo contains FP16 files of Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss.

FP16 - by IkariDev and Undi

GGUF - by IkariDev and Undi

Ratings:

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Prompt format: Chatml

<|im_start|>system
{sysprompt}<|im_end|>
<|im_start|>user
{input}<|im_end|>
<|im_start|>assistant
{output}<|im_end|>

Datasets used:

Aesir 1, 2 & 3 modified by us, credit to (MinervaAI / Gryphe)
LimaRP-20231109 (Lemonilia)
ToxicQAFinal (NobodyExistsOnTheInternet
No-robots-ShareGPT (Doctor-Shotgun)

Others

Undi: If you want to support me, you can here.

IkariDev: Visit my retro/neocities style website please kek