What are the hardware requirements for Phi 4?

Phi 4 requires approximately 29.4 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 and how large is it?

Phi 4 is developed by microsoft, a model with 14.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Phi 4 perform on standard benchmarks?

Phi 4 has the following published scores: LMSYS ELO 1221. Compare against reference models on this page or on the LLM Explorer leaderboards.

Phi 4 by microsoft — VRAM 29.4GB, 16K context

Name: Phi 4
Author: microsoft

Phi 4 is an open-source language model by microsoft. Features: 14.7b LLM, VRAM: 29.4GB, Context: 16K, License: mit, LLM Explorer Score: 0.57, ELO: 1221.

Arxiv:2412.08905 Chat Code Conversational En Endpoints compatible Math Phi Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/microsoft/phi-4

Phi 4 Benchmarks

LMSys ELO: 1221 vs 1272 (so35)^-4%

LLME Score: 0.57173

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

What is the LLM Explorer Rank (Score)

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Phi 4 Parameters and Internals

LLM Name	Phi 4
Repository 🤗	https://huggingface.co/microsoft/phi-4
Model Size	14.7b
Required VRAM	29.4 GB
Updated	2026-05-14
Maintainer	microsoft
Model Type	phi3
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.8 GB: 4-of-6 4.8 GB: 5-of-6 5.0 GB: 6-of-6
Supported Languages	en
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_85\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Quantized Models of the Phi 4

Model	Likes	Downloads	VRAM
Phi 4 Unsloth Bnb 4bit	64	11462	10 GB
Phi 4 Bnb 4bit	17	3260	9 GB
Parm 2 CoT 14B 16K O1 QwQ	7	14	29 GB
...perThoughts CoT 14B 16K O1 QwQ	6	265	29 GB
Phi 4 GGUF	8	108385	5 GB
Phi 4 4bit	22	1207	8 GB
Phi 4 8bit	13	244	15 GB
Phi 4 6bit	7	44	11 GB

Best Alternatives to Phi 4

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct	128K / 7.7 GB	637798	706
Phi 3 Mini 128K Instruct	128K / 7.7 GB	244024	1700
Phi 3 Medium 128K Instruct	128K / 28 GB	8300	388
Phi 4 Mini Reasoning	128K / 7.7 GB	46737	228
Phi 4 Mini Reasoning Bf16	128K / 7.7 GB	76	2
Phi 4 Mini Instruct ONNX GQA	128K / GB	76	6
Phi 3.5 Mini Instruct Onnx Web	128K / GB	500	15
Phi 3.5 Mini Instruct Onnx	128K / GB	108	37
Phi 3 Mini 128K Instruct Onnx	128K / GB	119	193
...i 3 Mini 128K Instruct Ov Int4	128K / 2 GB	11	0

Rank the Phi 4 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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Phi 4 by microsoft