InfinityRP V1 7B by Endevor

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  Autotrain compatible   En   Endpoints compatible   Mistral   Not-for-all-audiences   Nsfw   Region:us   Roleplay   Rp   Safetensors   Sharded   Tensorflow

InfinityRP V1 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

InfinityRP V1 7B Parameters and Internals

Model Type
text generation
Use Cases
Primary Use Cases:
roleplay, conversational AI
Limitations:
may not work for humongous, extreme, unlimited response lengths
Additional NotesThe model is experimental and not yet optimized, focusing on reducing hallucinations and creating a comfortable conversational experience. Inspired by another model ('lemonilia/Limamono-Mistral-7B-v0.50').
Supported Languages
en (proficient)
Input Output
Input Format:Extended Alpaca
Performance Tips:To increase thought occurrence, add '{{char}} internal thoughts are wrapped with ` marks.' to system prompt.
LLM NameInfinityRP V1 7B
Repository ๐Ÿค—https://huggingface.co/Endevor/InfinityRP-v1-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-11-12
MaintainerEndevor
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
InfinityRP V1 7B (Endevor/InfinityRP-v1-7B)

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Note: green Score (e.g. "73.2") means that the model is better than Endevor/InfinityRP-v1-7B.

Rank the InfinityRP V1 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110