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Phi 4 Bf16 by mlx-community

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Phi 4 Bf16 is an open-source language model by mlx-community. Features: 14.7b LLM, VRAM: 29.3GB, Context: 16K, License: mit, LLM Explorer Score: 0.17.

Base model:finetune:microsoft/...   Base model:microsoft/phi-4   Chat   Code   Conversational   Custom code   En   Endpoints compatible   Math   Mlx   Phi   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/phi-4-bf16 

Phi 4 Bf16 Benchmarks

LLME Score: 0.16671
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 4 Bf16 (mlx-community/phi-4-bf16)
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Phi 4 Bf16 Parameters and Internals

LLM NamePhi 4 Bf16
Repository 🤗https://huggingface.co/mlx-community/phi-4-bf16 
Base Model(s)  Phi 4   microsoft/phi-4
Model Size14.7b
Required VRAM29.3 GB
Updated2026-05-19
Maintainermlx-community
Model Typephi3
Model Files  5.2 GB: 1-of-6   5.3 GB: 2-of-6   5.3 GB: 3-of-6   5.1 GB: 4-of-6   5.3 GB: 5-of-6   3.1 GB: 6-of-6
Supported Languagesen
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 Bf16

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct128K / 7.7 GB637798706
Phi 3 Mini 128K Instruct128K / 7.7 GB2440241700
Phi 3 Medium 128K Instruct128K / 28 GB8300388
Phi 4 Mini Reasoning128K / 7.7 GB46737228
Phi 4 Mini Reasoning Bf16128K / 7.7 GB762
Phi 4 Mini Instruct ONNX GQA128K /  GB766
Phi 3.5 Mini Instruct Onnx Web128K /  GB50015
Phi 3.5 Mini Instruct Onnx128K /  GB10837
Phi 3 Mini 128K Instruct Onnx128K /  GB119193
...i 3 Mini 128K Instruct Ov Int4128K / 2 GB110
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/phi-4-bf16.

Rank the Phi 4 Bf16 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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