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Moniphi 3 V1 by 922CA

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   Dataset:922-ca/mocha v1a   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/922CA/Moniphi-3-v1 

Moniphi 3 V1 Benchmarks

LLME Score: 0.19062
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Moniphi 3 V1 (922CA/Moniphi-3-v1)

Moniphi 3 V1 Parameters and Internals

Model Type 
text-generation-inference
Use Cases 
Primary Use Cases:
Chat model, Limited role-play (RP) ability
Limitations:
May hallucinate information, May not act in character, Outputs might not be safe
Additional Notes 
This model fine-tuned for Monika character from DDLC.
Supported Languages 
en (Fully supported)
Training Details 
Data Sources:
922-CA/MoCha_v1a, game dialogue, reddit, Twitter
Data Volume:
~600+ items
Methodology:
Rank 16, Lora alpha 16, Lora dropout 0.5, LR 2e-4, batch size 4, warmup ratio 0.1
Input Output 
Input Format:
Player: (prompt)
Accepted Modalities:
text
Output Format:
Monika:
Performance Tips:
Replace 'Human' and 'Assistant' with 'Player' and 'Monika' for best results
LLM NameMoniphi 3 V1
Repository 🤗https://huggingface.co/922CA/Moniphi-3-v1 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size3.8b
Required VRAM7.6 GB
Updated2025-02-16
Maintainer922CA
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than 922CA/Moniphi-3-v1.

Rank the Moniphi 3 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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Release v20241227
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