DeepPhi 3.5 Mini Instruct by EpistemeAI

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DeepPhi 3.5 Mini Instruct is an open-source language model by EpistemeAI. Features: 3.8b LLM, VRAM: 7.6GB, Context: 128K, License: proprietary, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

DeepPhi 3.5 Mini Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DeepPhi 3.5 Mini Instruct Parameters and Internals

LLM NameDeepPhi 3.5 Mini Instruct
Repository 🤗https://huggingface.co/EpistemeAI/DeepPhi-3.5-mini-instruct 
Base Model(s)  unsloth/phi-3.5-mini-instruct-bnb-4bit   unsloth/phi-3.5-mini-instruct-bnb-4bit
Model Size3.8b
Required VRAM7.6 GB
Updated2025-04-02
MaintainerEpistemeAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Gated ModelYes
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseproprietary
Context Length131072
Model Max Length131072
Transformers Version4.48.3
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 EpistemeAI/DeepPhi-3.5-mini-instruct.

Rank the DeepPhi 3.5 Mini Instruct 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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Release v20260328a