What are the hardware requirements for Phi 3 Mini 4K Instruct GGUF?

Phi 3 Mini 4K Instruct GGUF requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 3 Mini 4K Instruct GGUF and how large is it?

Phi 3 Mini 4K Instruct GGUF is developed by SanctumAI. 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 3 Mini 4K Instruct GGUF?

Phi 3 Mini 4K Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Mini 4K Instruct GGUF by SanctumAI — VRAM 1.4GB

Name: Phi 3 Mini 4K Instruct GGUF
Author: SanctumAI

Phi 3 Mini 4K Instruct GGUF is an open-source language model by SanctumAI. Features: LLM, VRAM: 1.4GB, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Code Conversational En Endpoints compatible Gguf Instruct Phi3 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/SanctumAI/Phi-3-mini-4k-instruct-GGUF

Phi 3 Mini 4K Instruct GGUF Parameters and Internals

Model Type

text generation

Additional Notes

Model quantized by SanctumAI.

Training Details

Data Sources:

synthetic data, filtered publicly available websites

Methodology:

supervised fine-tuning, direct preference optimization

Context Length:

4000

Input Output

Input Format:

<|system|> {system_prompt}.<|end|> <|user|> {prompt}<|end|> <|assistant|>

LLM Name	Phi 3 Mini 4K Instruct GGUF
Repository 🤗	https://huggingface.co/SanctumAI/Phi-3-mini-4k-instruct-GGUF
Base Model(s)	Phi3AdapterModel Frinkles/Phi3AdapterModel
Required VRAM	1.4 GB
Updated	2026-07-24
Maintainer	SanctumAI
Model Type	phi3
Instruction-Based	Yes
Model Files	1.4 GB 2.1 GB 2.0 GB 1.7 GB 2.2 GB 2.4 GB 2.4 GB 2.4 GB 2.2 GB 2.6 GB 2.9 GB 2.8 GB 2.8 GB 2.6 GB 3.1 GB 4.1 GB 7.6 GB 7.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	mit

Rank the Phi 3 Mini 4K Instruct 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 3 Mini 4K Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Spydaz Web AI	0K / 4.4 GB	154	3
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Autocomplete Model	0K / 4.1 GB	66	0
Phi 3 Mini 4K Instruct	0K / 2.3 GB	32	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dictalm2.0 Instruct GGUF	0K / 4.4 GB	664	7
Dre Phi Gguf	0K / 2.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than SanctumAI/Phi-3-mini-4k-instruct-GGUF.