What are the hardware requirements for Phi 4 8bit?

Phi 4 8bit requires approximately 15.6 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 8bit and how large is it?

Phi 4 8bit is developed by mlx-community, a model with 4.1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Phi 4 8bit?

Phi 4 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 4 8bit by mlx-community — VRAM 15.6GB, 16K context

Name: Phi 4 8bit
Author: mlx-community

Phi 4 8bit is an open-source language model by mlx-community. Features: 4.1b LLM, VRAM: 15.6GB, Context: 16K, License: mit, Quantized, LLM Explorer Score: 0.16.

8-bit 8bit 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-4-8bit

Phi 4 8bit Parameters and Internals

LLM Name	Phi 4 8bit
Repository 🤗	https://huggingface.co/mlx-community/phi-4-8bit
Base Model(s)	Phi 4 microsoft/phi-4
Model Size	4.1b
Required VRAM	15.6 GB
Updated	2026-05-19
Maintainer	mlx-community
Model Type	phi3
Model Files	5.3 GB: 1-of-3 5.4 GB: 2-of-3 4.9 GB: 3-of-3
Supported Languages	en
Quantization Type	8bit
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the Phi 4 8bit capabilities

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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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