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EMO Phi 128K by OEvortex

 »  All LLMs  »  OEvortex  »  EMO Phi 128K   URL Share it on

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  Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3-min...   Conversational   Custom code   Emo   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OEvortex/EMO-phi-128k 

EMO Phi 128K Benchmarks

LLME Score: 0.19736
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EMO Phi 128K (OEvortex/EMO-phi-128k)

EMO Phi 128K Parameters and Internals

Model Type 
Transformer-based language model
Use Cases 
Areas:
Emotional Support / Conversational Companion, Customer Service Chatbots (with emotional intelligence), Creative Writing Assistance (with emotional awareness), Psychological/Therapeutic Applications
Limitations:
AI biases, Not fully verified emotional intelligence capabilities, Risky for sensitive applications
Considerations:
Proper human oversight is recommended. Safety considerations should be taken into account.
Supported Languages 
English (proficient)
LLM NameEMO Phi 128K
Repository 🤗https://huggingface.co/OEvortex/EMO-phi-128k 
Base Model(s)  Phi 3 Mini 128K Instruct   microsoft/Phi-3-mini-128k-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-01-15
MaintainerOEvortex
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32040
Torch Data Typefloat16

Best Alternatives to EMO Phi 128K

Best Alternatives
Context / RAM
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Phi 3.5 Mini Instruct128K / 7.7 GB560025752
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NuExtract 1.5128K / 7.7 GB10202187
Glider128K / 15.4 GB157530
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB180
ECE EIFFEL 3Bv2128K / 7.7 GB130
Phi3.5 Comets 3.8B128K / 7.7 GB1290
Samantha2.0 Phi 3.5 Mini ITA128K / 7.7 GB39500
Artemide 3.5128K / 7.7 GB68172
Note: green Score (e.g. "73.2") means that the model is better than OEvortex/EMO-phi-128k.

Rank the EMO Phi 128K 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 v20241227
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