Not-For-All-Audiences
File size: 2,042 Bytes
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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.
# 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.
## 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) |