Monika Ddlc 7B V1 by 922-CA

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  Autotrain compatible   Dataset:922-ca/mocha v1   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded

Monika Ddlc 7B V1 Benchmarks

Monika Ddlc 7B V1 (922-CA/monika-ddlc-7b-v1)

Monika Ddlc 7B V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Chat with Monika
Applications:
Character-based role-playing
Primary Use Cases:
Monika character interaction
Limitations:
Potential out-of-character responses, Risk of hallucination or errors in character knowledge, Limited general-purpose intelligence
Additional Notes 
Reflects characteristics of Monika with potential inaccuracies.
Training Details 
Data Sources:
Dialogue scraped from the game, Reddit, and Twitter.
Data Volume:
~600+ items
Methodology:
Fine-tuned to turn dialogue into multi-turn chat between Player and Monika.
Release Notes 
Version:
0.1
Notes:
Initial release.
LLM NameMonika Ddlc 7B V1
Repository ๐Ÿค—https://huggingface.co/922-CA/monika-ddlc-7b-v1 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainer922-CA
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
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 922-CA/monika-ddlc-7b-v1.

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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 v20241227