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Monika Ddlc 7B V1 by 922-CA

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Monika Ddlc 7B V1 is an open-source language model by 922-CA. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, HF Score: 50.5, LLM Explorer Score: 0.14, Arc: 55, HellaSwag: 76.8, MMLU: 45.6, TruthfulQA: 43.9, WinoGrande: 72.9, GSM8K: 8.8.

  Dataset:922-ca/mocha v1   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/922-CA/monika-ddlc-7b-v1 

Monika Ddlc 7B V1 Benchmarks

ARC: 54.95 vs 96.7 (so35)-43.2%
HellaSwag: 76.78 vs 95.3 (gpt4)-19.4%
MMLU: 45.61 vs 88.3 (so35)-48.3%
TruthfulQA: 43.94 vs 59 (gpt4)-25.5%
WinoGrande: 72.85 vs 87.5 (gpt4)-16.7%
GSM8K: 8.79 vs 96.4 (so35)-90.9%
LLME Score: 0.13662
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Monika Ddlc 7B V1 (922-CA/monika-ddlc-7b-v1)
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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 🤗https://huggingface.co/922-CA/monika-ddlc-7b-v1 
Model Size7b
Required VRAM13.5 GB
Updated2026-03-24
Maintainer922-CA
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   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.

Rank the Monika Ddlc 7B V1 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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