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Roleplay Model by WendyHoang

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/WendyHoang/roleplay-model 

Roleplay Model Benchmarks

LLME Score: 0.11324
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Roleplay Model (WendyHoang/roleplay-model)
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Roleplay Model Parameters and Internals

Model Type 
roleplaying, storywriting
Use Cases 
Areas:
roleplaying, storywriting
Additional Notes 
Quantized models available from TheBloke: GGML and GPTQ versions.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Using a highly experimental tensor type merge technique. Each layer composed of several tensors, each with a unique ratio applied, with involvement of gradients to finetune behavior.
Input Output 
Input Format:
Based on Alpaca formatting. Instruction format: ### Instruction: {Your instruction or question}. ### Response:
LLM NameRoleplay Model
Repository 🤗https://huggingface.co/WendyHoang/roleplay-model 
Required VRAM25.9 GB
Updated2025-09-23
MaintainerWendyHoang
Model Typellama
Model Files  2.1 GB: 1-of-13   2.0 GB: 2-of-13   2.1 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.1 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.6 GB: 13-of-13
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than WendyHoang/roleplay-model.

Rank the Roleplay Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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