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Ninja V1 RP Expressive by Aratako

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible   Base model:aratako/ninja-v1-rp   Base model:elizezen/antler-7b   Endpoints compatible   Ja   Mistral   Region:us   Roleplay   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aratako/Ninja-v1-RP-expressive 

Ninja V1 RP Expressive Benchmarks

LLME Score: 0.18946
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 (Aratako/Ninja-v1-RP-expressive)

Ninja V1 RP Expressive Parameters and Internals

Model Type 
roleplay
Use Cases 
Areas:
Roleplay
Limitations:
Roleplay understanding may be weak; may continue user dialogue or write novel-like content., Potential issues with few-shot prompting or content requiring regeneration.
Additional Notes 
A merge of pre-trained models using mergekit to enhance expression for roleplay in Japanese.
Supported Languages 
languages_supported (Japanese), proficiency (unknown)
Training Details 
Methodology:
Merge of pre-trained language models created using mergekit. Utilizes DARE and TIES techniques in merging.
Input Output 
Input Format:
Vicuna chat template expected. System prompt before the first `USER: `. Multi-turn dialogue requires `eos_token` (`~~`) at the end of each assistant response.
LLM NameNinja V1 RP Expressive
Repository 🤗https://huggingface.co/Aratako/Ninja-v1-RP-expressive 
Base Model(s)  Ninja V1 RP   Elizezen/Antler-7B   Aratako/Ninja-v1-RP   Elizezen/Antler-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerAratako
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
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.

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Release v20241227
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