Loyal Toppy Bruins Maid 7B DARE by SanjiWatsuki

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Loyal Toppy Bruins Maid 7B DARE Benchmarks

Loyal Toppy Bruins Maid 7B DARE (SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE)
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Loyal Toppy Bruins Maid 7B DARE Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, role-playing
Applications:
character card adherence, RP with solid engagement
Primary Use Cases:
Role-playing, Chatbot interactions with character consistency
Additional Notes 
First impressions for RPing are very positive.
Training Details 
Data Sources:
Starling-LM-7B-alpha, rwitz/go-bruins-v2, Q-bert/MetaMath-Cybertron-Starling, chargoddard/loyal-piano-m7, PIPPA, rpbuild, LimaRP, Undi95/Toppy-M-7B, NeverSleep/Noromaid-7b-v0.1.1
Methodology:
The models were merged using the DARE ties method, with a targeted 1.2 absolute weight and high density (0.5-0.6).
Input Output 
Input Format:
Custom format, or Alpaca
Accepted Modalities:
text
Output Format:
Textual response
Performance Tips:
SillyTavern provides best results using the Noromaid template.
LLM NameLoyal Toppy Bruins Maid 7B DARE
Repository ๐Ÿค—https://huggingface.co/SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE 
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
MaintainerSanjiWatsuki
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124