Create README.md

README.md

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+---
+library_name: transformers
+tags:
+- mistral
+- quantized
+- text-generation-inference
+- merge
+pipeline_tag: text-generation
+inference: false
+license: cc-by-nc-4.0
+---
+
+# [Quantizing and uploading...]
+
+# **GGUF-Imatrix quantizations for [SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE](https://huggingface.co/SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE/).**
+
+The new **IQ3_S** quant-option has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in `koboldcpp-1.59.1` or higher.
+
+*If you want any specific quantization to be added, feel free to ask.*
+
+All credits belong to the [creator](https://huggingface.co/SanjiWatsuki/).
+
+`Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)`
+
+Using [llama.cpp](https://github.com/ggerganov/llama.cpp/)-[b2280](https://github.com/ggerganov/llama.cpp/releases/tag/b2280).
+
+For --imatrix data, `imatrix-Loyal-Toppy-Bruins-Maid-7B-DARE-F16.dat` was used.
+
+# Original model information:
+
+![image/png](https://huggingface.co/SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE/resolve/main/bruins-maid.png)
+
+<!-- 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:
+
+```