What are the hardware requirements for Dre Phi Gguf?

Dre Phi Gguf requires approximately 2.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dre Phi Gguf and how large is it?

Dre Phi Gguf is developed by empgces. 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 Dre Phi Gguf?

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

Dre Phi Gguf by empgces — VRAM 2.3GB

Name: Dre Phi Gguf
Author: empgces

Dre Phi Gguf is an open-source language model by empgces. Features: LLM, VRAM: 2.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4bit Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-... En Endpoints compatible Gguf Instruct Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/empgces/dre_phi_gguf

Dre Phi Gguf Parameters and Internals

Model Type

transformers, text-generation-inference, mistral

Additional Notes

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

Training Details

Methodology:

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Dre Phi Gguf
Repository 🤗	https://huggingface.co/empgces/dre_phi_gguf
Base Model(s)	...hi 3 Mini 4K Instruct Bnb 4bit unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM	2.3 GB
Updated	2026-05-18
Maintainer	empgces
Model Type	mistral
Instruction-Based	Yes
Model Files	7.6 GB 2.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	AutoModel
License	apache-2.0

Rank the Dre Phi 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 Dre Phi 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
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
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

Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_phi_gguf.