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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

Ninja V1 RP Expressive Benchmarks

LLME Score: 0.22239
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 Parameters and Internals

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
Updated2024-09-18
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
Ninja V1 RP Expressive (Aratako/Ninja-v1-RP-expressive)

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Note: green Score (e.g. "73.2") means that the model is better than Aratako/Ninja-v1-RP-expressive.

Rank the Ninja V1 RP Expressive 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 v2024072803
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