75 lines
3.3 KiB
Markdown
75 lines
3.3 KiB
Markdown
---
|
|
license: cc-by-nc-4.0
|
|
tags:
|
|
- merge
|
|
---
|
|
|
|
|
|
|
|
<!-- description start -->
|
|
## Description
|
|
|
|
This repository hosts FP16 files for **Loyal-Toppy-Bruins-Maid-7B**, a 7B model aimed at having engaging RP with solid character card adherence and being a smart cookie at the same time.
|
|
|
|
Its foundation is [Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha), notable for its performance in the LMSYS Chatbot Arena, even surpassing GPT-3.5-Turbo-1106. The model incorporates [rwitz/go-bruins-v2](https://huggingface.co/rwitz/go-bruins-v2), a [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling) derivative with Alpaca RP data tuning.
|
|
|
|
The other foundational model is [chargoddard/loyal-piano-m7](https://huggingface.co/chargoddard/loyal-piano-m7), chosen for its strong RP performance and Alpaca format training, with a diverse dataset including PIPPA, rpbuild, and LimaRP.
|
|
|
|
[Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B), known for its creativity, brings in useful RP data from various sources. It ranks first among 7B models on [OpenRouter](https://openrouter.ai/rankings) for a good reason.
|
|
|
|
[NeverSleep/Noromaid-7b-v0.1.1](https://huggingface.co/NeverSleep/Noromaid-7b-v0.1.1), a Mistral finetune with unique RP data not present in other models, was also added for bringing in a unique RP dataset and being a well-regarded RP model.
|
|
|
|
The models were merged using the DARE ties method, with a targeted 1.2 absolute weight and high density (0.5-0.6), as discussed in the [MergeKit GitHub Repo](https://github.com/cg123/mergekit/issues/26).
|
|
|
|
Currently, this model ranks at the top of my personal RP unit test benchmark and scored a very solid 20 on [lilblam's LLM Logic Test](https://docs.google.com/spreadsheets/d/1NgHDxbVWJFolq8bLvLkuPWKC7i_R6I6W/edit#gid=1278290632). My first impressions of it for RPing are very good but, admittedly, this model came out of the oven today so I haven't played it with it too much 😊
|
|
|
|
### The sauce
|
|
```
|
|
models: # Top-Loyal-Bruins-Maid-DARE-7B_v2
|
|
- model: mistralai/Mistral-7B-v0.1
|
|
# no parameters necessary for base model
|
|
- model: rwitz/go-bruins-v2 # MetamathCybertronStarling base
|
|
parameters:
|
|
weight: 0.5
|
|
density: 0.6
|
|
- model: chargoddard/loyal-piano-m7 # Pull in some PIPPA/LimaRP/Orca/rpguild
|
|
parameters:
|
|
weight: 0.5
|
|
density: 0.6
|
|
- model: Undi95/Toppy-M-7B
|
|
parameters:
|
|
weight: 0.1
|
|
density: 0.5
|
|
- model: NeverSleep/Noromaid-7b-v0.1.1
|
|
parameters:
|
|
weight: 0.1
|
|
density: 0.5
|
|
merge_method: dare_ties
|
|
base_model: mistralai/Mistral-7B-v0.1
|
|
parameters:
|
|
normalize: false
|
|
int8_mask: true
|
|
dtype: bfloat16
|
|
```
|
|
|
|
<!-- description end -->
|
|
<!-- prompt-template start -->
|
|
## Prompt template: Custom format, or Alpaca
|
|
|
|
### Custom format:
|
|
I found the best SillyTavern results from using the Noromaid template.
|
|
|
|
SillyTavern config files: [Context](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json).
|
|
|
|
Otherwise, I tried to ensure that all of the underlying merged models were Alpaca favored.
|
|
|
|
### Alpaca:
|
|
```
|
|
Below is an instruction that describes a task. Write a response that appropriately completes the request.
|
|
|
|
### Instruction:
|
|
{prompt}
|
|
|
|
### Response:
|
|
|
|
``` |