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Ninja V1 RP by Aratako

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  Merged Model   Autotrain compatible Base model:aratako/ninja-v1-rp... Base model:finetune:aratako/ni... Dataset:aratako/bluemoon top50... Dataset:aratako/limarp-augment... Dataset:aratako/rosebleu-1on1-... Dataset:grimulkan/limarp-augme... Dataset:omniaicreator/japanese... Dataset:sicariussicariistuff/b...   Endpoints compatible   Ja   Mistral   Region:us   Roleplay   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Aratako/Ninja-v1-RP 

Ninja V1 RP Benchmarks

LLME Score: 0.18813
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 (Aratako/Ninja-v1-RP)

Ninja V1 RP Parameters and Internals

Model Type 
roleplay
Supported Languages 
ja (Full)
Training Details 
Data Sources:
Aratako/Rosebleu-1on1-Dialogues-RP, Aratako/LimaRP-augmented-ja-karakuri, grimulkan/LimaRP-augmented, Aratako/Bluemoon_Top50MB_Sorted_Fixed_ja, SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed, OmniAICreator/Japanese-Roleplay
Methodology:
Merge of pre-trained language models using mergekit. The task vectors from four models were multiplied by 0.8 and added to the base model.
Input Output 
Input Format:
Vicuna chat template. System prompts should be before the first `USER:` input.
Performance Tips:
Each turn should end with an `eos_token` (`~~`).
LLM NameNinja V1 RP
Repository 🤗https://huggingface.co/Aratako/Ninja-v1-RP 
Base Model(s)  Ninja V1 RP WIP   Aratako/Ninja-v1-RP-WIP
Merged ModelYes
Model Size7.2b
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.

Rank the Ninja V1 RP Capabilities

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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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Release v20241227
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