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 unsloth, 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 1256. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Phi 4
Author: unsloth

Phi 4 is an open-source language model by unsloth. Features: 14.7b LLM, VRAM: 29.4GB, Context: 16K, License: mit, LLM Explorer Score: 0.47, ELO: 1256.

Arxiv:2412.08905 Base model:finetune:microsoft/... Base model:microsoft/phi-4 Chat Code Conversational Deploy:azure En Endpoints compatible Llama Math Phi Phi4 Region:us Safetensors Sharded Tensorflow Unsloth

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

Phi 4 Benchmarks

LMSys ELO: 1256 vs 1272 (so35)^-1.3%

LLME Score: 0.47365

^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)

🌟 Advertise your project 🚀

Phi 4 Parameters and Internals

LLM Name	Phi 4
Repository 🤗	https://huggingface.co/unsloth/phi-4
Base Model(s)	Phi 4 microsoft/phi-4
Model Size	14.7b
Required VRAM	29.4 GB
Updated	2026-04-16
Maintainer	unsloth
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Quantized Models of the Phi 4

Model	Likes	Downloads	VRAM
Unsloth Phi 4 4bit	6	291	8 GB

Best Alternatives to Phi 4

Best Alternatives	Context / RAM	Downloads	Likes
...kpoints 511 Onlytrainex Merged	31K / 29.4 GB	25	0
...ruct Extended 3500steps Merged	31K / 29.4 GB	71	0
E2 Phi4 Instruct NTK Scaled	31K / 29.4 GB	20	0
...ct NTK Scaled 1000steps Merged	31K / 29.4 GB	5	0
Luminis Phi 4	16K / 29.5 GB	1109	13
Orca Mini Phi 4	16K / 29.4 GB	885	8
Phi 4 Sce Exp V0.1	16K / 29.5 GB	3	1
Phi 4 RR Shoup	16K / 29.5 GB	4	2
Phi 4 Model Stock V4	16K / 29.5 GB	18	9
Phi 4 RStock V0.1	16K / 29.5 GB	18	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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Phi 4 by unsloth