Phi 4 Mini Instruct Desyced by ApolloRaines

 »  All LLMs  »  ApolloRaines  »  Phi 4 Mini Instruct Desyced   URL Share it on

Phi 4 Mini Instruct Desyced is an open-source language model by ApolloRaines. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

  Anti-sycophancy Base model:microsoft/phi-4-min... Base model:quantized:microsoft...   Conversational   Custom code   Desyced   En   Endpoints compatible   Gguf   Instruct   Phi   Phi-4   Phi3   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Phi 4 Mini Instruct Desyced Benchmarks

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

Phi 4 Mini Instruct Desyced Parameters and Internals

LLM NamePhi 4 Mini Instruct Desyced
Repository 🤗https://huggingface.co/ApolloRaines/Phi-4-mini-Instruct-Desyced 
Base Model(s)  Phi 4 Mini Instruct   microsoft/Phi-4-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2026-07-22
MaintainerApolloRaines
Model Typephi3
Instruction-BasedYes
Model Files  2.5 GB   4.1 GB   4.9 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size200064
Torch Data Typebfloat16

Best Alternatives to Phi 4 Mini Instruct Desyced

Best Alternatives
Context / RAM
Downloads
Likes
Sign Language 20250823 190451128K / 7.7 GB140
Phi3 Wbn128K / 7.7 GB170
...nstruct Cinder With 16bit GGUF4K / 7.7 GB571
Ph3 Q8128K / 4 GB60
...hi 3 Mini 4K Instruct Sft 4bit4K / 2.3 GB70
...hi 3 Mini 4K Instruct Sft 8bit4K / 4.1 GB50
Phi 4 Mini Instruct128K / 7.7 GB514603791
Phi 3.5 Mini Instruct128K / 7.7 GB710372997
Phi 3 Mini 128K Instruct128K / 7.7 GB2336631700
Phi 4 Mini Instruct Heretic128K / 7.7 GB120
Note: green Score (e.g. "73.2") means that the model is better than ApolloRaines/Phi-4-mini-Instruct-Desyced.

Rank the Phi 4 Mini Instruct Desyced 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  

What open-source LLMs or SLMs are you in search of? 55294 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a