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Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 by ArliAI

 »  All LLMs  »  ArliAI  »  Phi 3.5 Mini 3.8B ArliAI RPMax V1.1   URL Share it on

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Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 is an open-source language model by ArliAI. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.15.

  Custom code   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 

Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 Benchmarks

LLME Score: 0.14938
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 (ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1)
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Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 Parameters and Internals

Model Type 
creativity, role-playing
Additional Notes 
Models are claimed to be highly creative, non-repetitive, and not 'in-bred' compared to other RP models.
Training Details 
Data Sources:
diverse creative writing and RP datasets
Methodology:
Finetuned on RPMax v1.1 dataset
Context Length:
16384
Training Time:
Approximately 1 day on RTX 4090
Hardware Used:
RTX 4090
Input Output 
Input Format:
Phi 3.5 Instruct Prompt Format
LLM NamePhi 3.5 Mini 3.8B ArliAI RPMax V1.1
Repository 🤗https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 
Model Size3.8b
Required VRAM7.7 GB
Updated2026-05-12
MaintainerArliAI
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 Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1.

Rank the Phi 3.5 Mini 3.8B ArliAI RPMax V1.1 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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