What are the hardware requirements for Merged AutoGPTQ DPO?

Merged AutoGPTQ DPO requires approximately 2.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Merged AutoGPTQ DPO and how large is it?

Merged AutoGPTQ DPO is developed by Veture, a model with 1.7b 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 Merged AutoGPTQ DPO?

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

Merged AutoGPTQ DPO by Veture — VRAM 2.3GB

Name: Merged AutoGPTQ DPO
Author: Veture

Merged AutoGPTQ DPO is an open-source language model by Veture. Features: 1.7b LLM, VRAM: 2.3GB, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:1910.09700 8-bit Bloom Endpoints compatible Gptq Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Veture/merged_autoGPTQ_dpo

Merged AutoGPTQ DPO Parameters and Internals

LLM Name	Merged AutoGPTQ DPO
Repository 🤗	https://huggingface.co/Veture/merged_autoGPTQ_dpo
Merged Model	Yes
Model Size	1.7b
Required VRAM	2.3 GB
Updated	2026-05-12
Maintainer	Veture
Model Type	bloom
Model Files	2.3 GB
Model Architecture	BloomForCausalLM
Transformers Version	4.41.2
Tokenizer Class	BloomTokenizer
Padding Token	<pad>
Vocabulary Size	250880
Torch Data Type	float16

Rank the Merged AutoGPTQ DPO 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

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Merged DPO Model	0K / 6.8 GB	5	0
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Mnlp DPO Model Bloom	0K / 6.8 GB	7	0
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Bloom 1b7 Fp32	0K / 6.8 GB	10	0
Aira 2 Portuguese 1B7	0K / 0 GB	15	2
Bloomz 1b7	0K / 3.4 GB	934	23
Bloom 1b7 Intermediate	0K / 3.4 GB	1022	0
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Bloom 1b7 8bit	0K / 2.2 GB	211	6