What are the hardware requirements for Phi 2 DPO GGUF?

Phi 2 DPO GGUF requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 DPO GGUF and how large is it?

Phi 2 DPO GGUF is developed by TheBloke. 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 DPO GGUF?

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

Phi 2 DPO GGUF by TheBloke — VRAM 1.2GB

Name: Phi 2 DPO GGUF
Author: TheBloke

Phi 2 DPO GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 1.2GB, License: other, Quantized, LLM Explorer Score: 0.11.

Base model:lxuechen/phi-2-dpo Base model:quantized:lxuechen/... Code En Gguf Model-index Phi-msft Quantized Region:us

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

Phi 2 DPO GGUF Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research

Limitations:

Generate Inaccurate Code and Facts, Limited Scope for code, Unreliable Responses to Instruction, Language Limitations, Potential Societal Biases, Toxicity, Verbosity

Additional Notes

It was fine-tuned using DPO on a subset of UltraFeedback.

Supported Languages

english (standard)

Training Details

Data Sources:

UltraFeedback dataset

Data Volume:

10k subset of UltraFeedback

Methodology:

Direct preference optimization (DPO)

Context Length:

1024

Model Architecture:

earlier SFT model phi-2-sft

Input Output

Input Format:

### Human: {prompt} ### Assistant:

Accepted Modalities:

text

LLM Name	Phi 2 DPO GGUF
Repository 🤗	https://huggingface.co/TheBloke/phi-2-dpo-GGUF
Model Name	Phi 2 DPO
Model Creator	Xuechen Li
Base Model(s)	Phi 2 DPO lxuechen/phi-2-dpo
Required VRAM	1.2 GB
Updated	2026-06-29
Maintainer	TheBloke
Model Type	phi-msft
Model Files	1.2 GB 1.6 GB 1.5 GB 1.2 GB 1.6 GB 1.8 GB 1.6 GB 1.9 GB 2.1 GB 1.9 GB 2.3 GB 3.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Phi 2 DPO 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 2 DPO GGUF

Best Alternatives	Context / RAM	Downloads	Likes
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
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Phi 2 GGUF	0K / 1.2 GB	21217	233
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 TheBloke/phi-2-dpo-GGUF.