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Phi 4 6bit by mlx-community

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Phi 4 6bit is an open-source language model by mlx-community. Features: 3.2b LLM, VRAM: 11.9GB, Context: 16K, License: mit, Quantized, LLM Explorer Score: 0.17.

  6-bit   6bit   Base model:microsoft/phi-4 Base model:quantized:microsoft...   Chat   Code   Conversational   Custom code   En   Endpoints compatible   Math   Mlx   Phi   Phi3   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/phi-4-6bit 

Phi 4 6bit Benchmarks

LLME Score: 0.1721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4 6bit (mlx-community/phi-4-6bit)
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Phi 4 6bit Parameters and Internals

LLM NamePhi 4 6bit
Repository 🤗https://huggingface.co/mlx-community/phi-4-6bit 
Base Model(s)  Phi 4   microsoft/phi-4
Model Size3.2b
Required VRAM11.9 GB
Updated2026-04-08
Maintainermlx-community
Model Typephi3
Model Files  5.3 GB: 1-of-3   5.4 GB: 2-of-3   1.2 GB: 3-of-3
Supported Languagesen
Quantization Type6bit
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.47.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Phi 4 6bit

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct 8bit128K / 4.1 GB2975
Phi 3.5 Mini Instruct 4bit128K / 2.1 GB31759
Numind NuExtract 1.5 MLX 8bit128K / 4.1 GB122
...hi 3 Medium 128K Instruct 4bit128K / 7.8 GB232
...m 128K Instruct 8.0bpw H8 EXL2128K / 13.4 GB44
...m 128K Instruct 6.0bpw H6 EXL2128K / 10.7 GB83
...dium 128K Instruct 8 0bpw EXL2128K / 13.4 GB01
...m 128K Instruct 3.0bpw H6 EXL2128K / 5.6 GB50
...m 128K Instruct 5.0bpw H6 EXL2128K / 8.9 GB50
Phi 3 Mini 128K Instruct 8bit128K / 4.1 GB5510
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/phi-4-6bit.

Rank the Phi 4 6bit 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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