Ninja V1 RP Expressive Breadcrumbs by Aratako

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  Merged Model   Autotrain compatible   Base model:aratako/ninja-v1-rp   Base model:elizezen/antler-7b   Endpoints compatible   Ja   Mistral   Region:us   Roleplay   Safetensors   Sharded   Tensorflow

Ninja V1 RP Expressive Breadcrumbs Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ninja V1 RP Expressive Breadcrumbs (Aratako/Ninja-v1-RP-expressive-breadcrumbs)
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Ninja V1 RP Expressive Breadcrumbs Parameters and Internals

Model Type 
roleplay
Additional Notes 
Model is a merge of pre-trained language models using mergekit with enhanced expressiveness for roleplay.
Supported Languages 
ja (proficient)
Input Output 
Input Format:
Vicuna's chat template
Accepted Modalities:
text
Output Format:
text responses with seclusion of eos_token ('~~') at the end of each assistant's response
LLM NameNinja V1 RP Expressive Breadcrumbs
Repository ๐Ÿค—https://huggingface.co/Aratako/Ninja-v1-RP-expressive-breadcrumbs 
Base Model(s)  Ninja V1 RP   Elizezen/Antler-7B   Aratako/Ninja-v1-RP   Elizezen/Antler-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-09-08
MaintainerAratako
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesja
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0.dev0
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 Aratako/Ninja-v1-RP-expressive-breadcrumbs.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124