What are the hardware requirements for Gpt2 23M Hf?

Gpt2 23M Hf requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt2 23M Hf and how large is it?

Gpt2 23M Hf is developed by abhijeetkr2195, a model with 23m 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 Gpt2 23M Hf?

Gpt2 23M Hf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gpt2 23M Hf by abhijeetkr2195 — VRAM 0.1GB

Name: Gpt2 23M Hf
Author: abhijeetkr2195

Gpt2 23M Hf is an open-source language model by abhijeetkr2195. Features: 23m LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.18.

En Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/abhijeetkr2195/gpt2-23m-hf

Gpt2 23M Hf Parameters and Internals

LLM Name	Gpt2 23M Hf
Repository 🤗	https://huggingface.co/abhijeetkr2195/gpt2-23m-hf
Model Size	23m
Required VRAM	0.1 GB
Updated	2025-05-26
Maintainer	abhijeetkr2195
Model Type	gpt2
Model Files	0.1 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	mit
Transformers Version	4.51.3
Vocabulary Size	5000
Torch Data Type	float32
Activation Function	gelu_new

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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