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Phi 3.5 MoE Instruct 8bit by mlx-community

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Phi 3.5 MoE Instruct 8bit is an open-source language model by mlx-community. Features: 11.8b LLM, VRAM: 44.5GB, Context: 128K, License: mit, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  8bit   Code   Conversational   Custom code   Instruct   Mlx   Moe   Multilingual   Phimoe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-3.5-MoE-instruct-8bit 

Phi 3.5 MoE Instruct 8bit Benchmarks

LLME Score: 0.14813
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 MoE Instruct 8bit (mlx-community/Phi-3.5-MoE-instruct-8bit)
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Phi 3.5 MoE Instruct 8bit Parameters and Internals

Model Type 
nlp, code, text-generation
Supported Languages 
multilingual ()
LLM NamePhi 3.5 MoE Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/Phi-3.5-MoE-instruct-8bit 
Model Size11.8b
Required VRAM44.5 GB
Updated2026-05-14
Maintainermlx-community
Model Typephimoe
Instruction-BasedYes
Model Files  5.2 GB: 1-of-9   5.1 GB: 2-of-9   5.1 GB: 3-of-9   5.0 GB: 4-of-9   5.1 GB: 5-of-9   5.1 GB: 6-of-9   5.0 GB: 7-of-9   5.1 GB: 8-of-9   3.8 GB: 9-of-9
Quantization Type8bit
Model ArchitecturePhiMoEForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<|end|>
Vocabulary Size32064
Torch Data Typebfloat16

Best Alternatives to Phi 3.5 MoE Instruct 8bit

Best Alternatives
Context / RAM
Downloads
Likes
Phi 3.5 MoE Instruct 4bit128K / 23.7 GB2613
Phi 3.5 MoE Instruct128K / 83.9 GB120604574
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Phi-3.5-MoE-instruct-8bit.

Rank the Phi 3.5 MoE Instruct 8bit 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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