not-for-all-audiences license:cc-by-nc-4.0 region:us
---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
---

Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.

Branches:
- `main` -- `measurement.json`
- `2.25b6h` -- 2.25bpw, 6bit lm_head
- `3.5b6h` -- 3.5bpw, 6bit lm_head
- `3.7b6h` -- 3.7bpw, 6bit lm_head
- `5b6h` -- 5bpw, 6bit lm_head
- `6b6h` -- 6bpw, 6bit lm_head


Requires ExllamaV2 version 0.0.12 and up.

Original model link: [Envoid/Fish-8x7B](https://huggingface.co/Envoid/Fish-8x7B)

# This quant was broken. It is fixed now.

Original model README below.

***

# Caution: This model may output adult content.


![](https://files.catbox.moe/gw9y0r.jpg)

# FISH - Fusion of Intuitive Semantic Heuristics 

For this model I took the following LoRAs

[SeanWu25/Mixtral_8x7b_Medicine](https://huggingface.co/SeanWu25/Mixtral_8x7b_Medicine)

[SeanWu25/Mixtral_8x7b_WuKurtz](https://huggingface.co/SeanWu25/Mixtral_8x7b_WuKurtz)

and

[wandb/Mixtral-8x7b-Remixtral](https://huggingface.co/wandb/Mixtral-8x7b-Remixtral)

And merged them onto their base model. 

I then did a simple linear merge between them, an experimental unreleased 8x7B model, and an unreleased model that was a intermediate step in creating [Envoid/BondBurger-8x7B](https://huggingface.co/Envoid/BondBurger-8x7B?not-for-all-audiences=true)

The end results are a surprisingly good model for role palying style entertainment. 

At first I was disappointed with the results but ended up settling on the following sampler parameters which really bring it to life. 


![](https://files.catbox.moe/apinh7.png)

## It does eccentuate characters that have particularly aggressive personalities.

## Because this is part of the whole SensualNousInstruct family of models it still suffers from the same tokenizer/special tokens weirdness.

## This model has only been tested in Q8 GGUF form due to hardware limitations. 

It responds well to [INST] do a thing [/INST] instruct style formatting (although uses the ChatML special tokens)