What are the hardware requirements for Gemmadpo2?

Gemmadpo2 requires approximately 5.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemmadpo2 and how large is it?

Gemmadpo2 is developed by williamlcn, a model with 2.6b 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 Gemmadpo2?

Gemmadpo2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemmadpo2 by williamlcn — VRAM 5.2GB

Name: Gemmadpo2
Author: williamlcn

Gemmadpo2 is an open-source language model by williamlcn. Features: 2.6b LLM, VRAM: 5.2GB, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Conversational Endpoints compatible Gemma2 Llama-factory Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/williamlcn/gemmadpo2

Gemmadpo2 Parameters and Internals

LLM Name	Gemmadpo2
Repository 🤗	https://huggingface.co/williamlcn/gemmadpo2
Model Size	2.6b
Required VRAM	5.2 GB
Updated	2026-07-31
Maintainer	williamlcn
Model Files	0.0 GB 2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.2 GB: 3-of-3
Model Architecture	AutoModelForCausalLM
Is Biased	none
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|q_proj\|v_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	8

Rank the Gemmadpo2 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 Gemmadpo2

Best Alternatives	Context / RAM	Downloads	Likes
Shruti Soft 2.6B	0K / 5.4 GB	177	2
Gemmadpo	0K / 5.2 GB	8	0
LFM 2.5 Coder 2.6B	0K / 5.4 GB	224	1

Note: green Score (e.g. "73.2") means that the model is better than williamlcn/gemmadpo2.