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: 0.11.

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 Benchmarks

LLME Score: 0.11099

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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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	2026-04-28
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

Quantized Models of the Phi 2 DPO

Model	Likes	Downloads	VRAM
Phi 2 DPO GGUF	18	322	1 GB
Phi 2 DPO GPTQ	5	14	1 GB

Best Alternatives to Phi 2 DPO

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	5
MFANN3b	128K / 11.1 GB	168
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	10
MFANN3bv1.3	128K / 11.1 GB	11
MFANN3bv0.23	128K / 11.1 GB	6
MFANN3bv1.1	128K / 11.1 GB	5
MFANN3bv1.5	128K / 11.1 GB	5
MFANN3b Rebase	128K / 11.1 GB	7
MFANN Liminerity Slerp 4a	128K / 5.6 GB	6

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

Rank the Phi 2 DPO Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Phi 2 DPO by lxuechen