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---
base_model: []
tags:
- mergekit
- merge
---
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PROUDLY PRESENTS
```
# 0x01-8x7b-exl2-rpcal
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
- `6b6h` -- 6bpw, 6bit lm_head
Requires ExllamaV2 version 0.0.12 and up.
Original model link: [rAIfle/0x01-8x7b-hf](https://huggingface.co/rAIfle/0x01-8x7b-hf)
Original model README below.
***
# 0x01-7x8B-hf
here we go again. multi-step merge, various models involved at various ratios with various methods.
this thing came to me in a fever dream when I was hung over, but after slightly tweaking the recipe it turned out surprisingly decent. using with the settings included.
## Update:
The following settings have proved to work good too:
- Context: https://files.catbox.moe/q91rca.json
- Instruct: https://files.catbox.moe/2w8ja2.json
- Textgen: https://files.catbox.moe/s25rad.json
## Constituent parts
```yaml
# primordial_slop_a:
- model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
- model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_Medicine
- model: mistralai/Mixtral-8x7B-v0.1+SeanWu25/Mixtral_8x7b_WuKurtz
- model: mistralai/Mixtral-8x7B-v0.1+Epiculous/crunchy-onion-lora
- model: mistralai/Mixtral-8x7B-v0.1+maxkretchmer/gc-mixtral
# primordial_slop_b:
- model: Envoid/Mixtral-Instruct-ITR-8x7B
- model: crestf411/daybreak-mixtral-8x7b-v1.0-hf
- model: NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
- model: orangetin/OpenHermes-Mixtral-8x7B
- model: mistralai/Mixtral-8x7B-Instruct-v0.1+idegroup/PhyAssistant
- model: ycros/crunchy-onion-nx
- model: jondurbin/bagel-dpo-8x7b-v0.2
- model: amoldwalunj/Mixtral-8x7B-Instruct-v0.1-legal_finetune_mixtral_32k
# primordial_slop_c: a+b
# primordial_slop_d:
- model: Sao10K/Sensualize-Mixtral-bf16
- model: Envoid/Mixtral-Instruct-ITR-DADA-8x7B
```
# mergekit
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* ./primordial_slop_d
* ./primordial_slop_c
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ./primordial_slop_c
- model: ./primordial_slop_d
merge_method: slerp
base_model: ./primordial_slop_c
parameters:
t:
- value: 0.33
dtype: float16
```
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