What are the hardware requirements for DPO?

DPO requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DPO and how large is it?

DPO is developed by harshavaishnav, a model with 4b 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 DPO?

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

DPO by harshavaishnav — VRAM 9.3GB

Name: DPO
Author: harshavaishnav

DPO is an open-source language model by harshavaishnav. Features: 4b LLM, VRAM: 9.3GB, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-4b Conversational Dataset:harshavaishnav/dpo dat... Dpo En Lm-playschool Lora Playpen Qwen Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/harshavaishnav/DPO

DPO Parameters and Internals

LLM Name	DPO
Repository 🤗	https://huggingface.co/harshavaishnav/DPO
Model Name	Qwen/Qwen3.5-4B
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	9.3 GB
Updated	2026-08-08
Maintainer	harshavaishnav
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 4.0 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the 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

Best Alternatives to DPO

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 4B	0K / 9.3 GB	6575502	801
Intern Decision 4B	0K / 0.1 GB	338	48
NuExtract3	0K / 0.2 GB	441570	324
Agents A1 4B	0K / 9.1 GB	177578	72
Tev1 4B Experimental	0K / 9.3 GB	1539	16
OneJev 4B	0K / 10.4 GB	767	2
Qwen3.5 4B Base	0K / 9.3 GB	227814	79
APUS OpenJev V1 4B	0K / 9.1 GB	665	4
CogEvol 4B	0K / 9.1 GB	907	27
Fara1.5 4B	0K / 9.1 GB	4934	39

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