What are the hardware requirements for Phi 2 GGUF?

Phi 2 GGUF requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 GGUF and how large is it?

Phi 2 GGUF is developed by MaziyarPanahi. 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 2 GGUF?

Phi 2 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 2 GGUF by MaziyarPanahi — VRAM 1.1GB

Name: Phi 2 GGUF
Author: MaziyarPanahi

Phi 2 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 1.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:microsoft/phi-2 Base model:quantized:microsoft... Code Custom code En Gguf Has space Mistral Phi Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/phi-2-GGUF

Phi 2 GGUF Parameters and Internals

Model Type

text generation

Additional Notes

Quantized model formats and usage information provided.

Supported Languages

en (proficient)

LLM Name	Phi 2 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/phi-2-GGUF
Model Name	phi-2-GGUF
Model Creator	microsoft
Base Model(s)	Phi 2 microsoft/phi-2
Required VRAM	1.1 GB
Updated	2026-08-01
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	1.1 GB 1.6 GB 1.4 GB 1.2 GB 1.7 GB 1.6 GB 2.0 GB 1.9 GB 2.3 GB 3.0 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Phi 2 GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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ComicBot V.2 Gguf	32K / 5 GB	54	0
Gemma4 E2 Code Lora Gguf	0K / 0.1 GB	110	1
Gemma4 E2B Coding Distill	0K / 0.2 GB	44	1
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/phi-2-GGUF.