What are the hardware requirements for NoPE GPT 400M Base?

NoPE GPT 400M Base requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NoPE GPT 400M Base and how large is it?

NoPE GPT 400M Base is developed by andrewdalpino, a model with 400m 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 NoPE GPT 400M Base?

NoPE GPT 400M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NoPE GPT 400M Base by andrewdalpino — VRAM 1.6GB

Name: NoPE GPT 400M Base
Author: andrewdalpino

NoPE GPT 400M Base is an open-source language model by andrewdalpino. Features: 400m LLM, VRAM: 1.6GB, License: apache-2.0, LLM Explorer Score: 0.2.

Dataset:huggingfacefw/fineweb Gpt Nope Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/andrewdalpino/NoPE-GPT-400M-Base

NoPE GPT 400M Base Parameters and Internals

LLM Name	NoPE GPT 400M Base
Repository 🤗	https://huggingface.co/andrewdalpino/NoPE-GPT-400M-Base
Model Size	400m
Required VRAM	1.6 GB
Updated	2026-08-01
Maintainer	andrewdalpino
Model Files	1.6 GB
License	apache-2.0

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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