What are the hardware requirements for Phi 4 Mini Reasoning GGUF?

Phi 4 Mini Reasoning GGUF requires approximately 1.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 Mini Reasoning GGUF and how large is it?

Phi 4 Mini Reasoning GGUF is developed by unsloth. 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 Mini Reasoning GGUF?

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

Phi 4 Mini Reasoning GGUF by unsloth — VRAM 1.1GB, 128K context

Name: Phi 4 Mini Reasoning GGUF
Author: unsloth

Phi 4 Mini Reasoning GGUF is an open-source language model by unsloth. Features: LLM, VRAM: 1.1GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.23.

Base model:microsoft/phi-4-min... Base model:quantized:microsoft... Code Conversational En Endpoints compatible Gguf Math Phi Phi3 Phi4 Q2 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Phi-4-mini-reasoning-GGUF

Phi 4 Mini Reasoning GGUF Parameters and Internals

LLM Name	Phi 4 Mini Reasoning GGUF
Repository 🤗	https://huggingface.co/unsloth/Phi-4-mini-reasoning-GGUF
Base Model(s)	Phi 4 Mini Reasoning microsoft/Phi-4-mini-reasoning
Required VRAM	1.1 GB
Updated	2026-08-02
Maintainer	unsloth
Model Type	phi3
Model Files	7.7 GB 2.3 GB 2.2 GB 1.7 GB 1.7 GB 2.1 GB 1.9 GB 2.3 GB 2.5 GB 2.5 GB 2.9 GB 3.2 GB 4.1 GB 1.2 GB 1.1 GB 1.5 GB 1.3 GB 1.7 GB 1.7 GB 2.1 GB 2.5 GB 2.8 GB 3.5 GB 5.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Vocabulary Size	200064
Torch Data Type	bfloat16

Rank the Phi 4 Mini Reasoning 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

Best Alternatives to Phi 4 Mini Reasoning GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct GGUF	128K / 1.7 GB	51764	122
...i 3 Mini 4K Instruct.Q4 0.gguf	128K / 2.2 GB	2220	4
Phi 3 Mini 128K Instruct GGUF	128K / 1.4 GB	629	2
...hi 3 Medium 128K Instruct GGUF	128K / 5.1 GB	494	2
...hi 3 Medium 128K Instruct GGUF	128K / 5.1 GB	317	0
Phi 3 Mini 128K Instruct GGUF	128K / 1.4 GB	198	1
Phi 4 Reasoning Plus GGUF	32K / 3.6 GB	5944	94
Phi 4 Reasoning GGUF	32K / 3.6 GB	2768	23
Phi 3 Mini 4K Instruct GGUF	4K / 1.4 GB	1376	5
...i 3 Mini 4K Instruct IMat GGUF	4K / 0.8 GB	983	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Phi-4-mini-reasoning-GGUF.