What are the hardware requirements for Phi 2 DPO?

Phi 2 DPO requires approximately 5.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 DPO and how large is it?

Phi 2 DPO is developed by lxuechen, a model with 2.8b parameters. 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?

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

Phi 2 DPO by lxuechen — VRAM 5.6GB

Name: Phi 2 DPO
Author: lxuechen

Phi 2 DPO is an open-source language model by lxuechen. Features: 2.8b LLM, VRAM: 5.6GB, License: mit, LLM Explorer Score: 0.1.

Code Custom code En Endpoints compatible Model-index Phi-msft Region:us Safetensors Sharded Tensorflow

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

Phi 2 DPO Parameters and Internals

LLM Name	Phi 2 DPO
Repository 🤗	https://huggingface.co/lxuechen/phi-2-dpo
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-05-28
Maintainer	lxuechen
Model Type	phi-msft
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Model Architecture	PhiForCausalLM
License	mit
Model Max Length	512
Transformers Version	4.36.1
Tokenizer Class	CodeGenTokenizer
Padding Token	[PAD]
Vocabulary Size	50296
Torch Data Type	float16
Activation Function	gelu_new
Errors	replace

Rank the Phi 2 DPO 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

Quantized Models of the Phi 2 DPO

Model	Likes	Downloads	VRAM
Phi 2 DPO GGUF	18	1033	1 GB
Phi 2 DPO GPTQ	5	37	1 GB

Best Alternatives to Phi 2 DPO

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

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