What are the hardware requirements for DPO Policy Model?

DPO Policy Model requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DPO Policy Model and how large is it?

DPO Policy Model is developed by gillesdewaha, a model with 457.2m 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 Policy Model?

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

DPO Policy Model by gillesdewaha — VRAM 1.8GB

Name: DPO Policy Model
Author: gillesdewaha

DPO Policy Model is an open-source language model by gillesdewaha. Features: 457.2m LLM, VRAM: 1.8GB, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Custom code Openelm Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/gillesdewaha/dpo_policy_model

DPO Policy Model Parameters and Internals

LLM Name	DPO Policy Model
Repository 🤗	https://huggingface.co/gillesdewaha/dpo_policy_model
Model Size	457.2m
Required VRAM	1.8 GB
Updated	2026-07-27
Maintainer	gillesdewaha
Model Type	openelm
Model Files	1.8 GB
Model Architecture	OpenELMForCausalLM
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the DPO Policy Model capabilities

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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 Policy Model

Best Alternatives	Context / RAM	Downloads	Likes
Nightmare Promptgen 3	0K / 1.8 GB	755	1
Databaes Beta 03	0K / 0.9 GB	8	1

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