license: cc-by-nc-4.0
I recently ran into this quantized model of Noromaid with the "rpcal" term on the end.
The secret sauce used an RP data set instead of the standard llama dataset to do the quantizing.
On a test drive, it seemed to make an enormous difference in the quality of the output, so I'm trying to quantify if it does make a significant difference.
I plan to run a variety of things like The Sarah Test to see if I can see any objective differences.
My favorite model for the past few weeks has been really enjoyable, so I want to see how it compares to this one.
Favorite: zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw300-h6-exl2 This model: EXL2 @ 3.0 bpw using the RP samples instead of standard calibration.
I'm just tinkering. All credit to the original creators: Noromaid is hot.
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.
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