What are the hardware requirements for GPT Neo 125M Stf Imdb?

GPT Neo 125M Stf Imdb requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT Neo 125M Stf Imdb and how large is it?

GPT Neo 125M Stf Imdb is developed by Kyleyee, a model with 125m 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 GPT Neo 125M Stf Imdb?

GPT Neo 125M Stf Imdb is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT Neo 125M Stf Imdb by Kyleyee — VRAM 0.5GB, 2K context

Name: GPT Neo 125M Stf Imdb
Author: Kyleyee

GPT Neo 125M Stf Imdb is an open-source language model by Kyleyee. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, LLM Explorer Score: 0.18.

Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai... Dataset:stanfordnlp/imdb Endpoints compatible Generated from trainer Gpt neo Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Kyleyee/gpt-neo-125m-stf-imdb

GPT Neo 125M Stf Imdb Parameters and Internals

LLM Name	GPT Neo 125M Stf Imdb
Repository 🤗	https://huggingface.co/Kyleyee/gpt-neo-125m-stf-imdb
Model Name	gpt-neo-125m-stf-imdb
Base Model(s)	GPT Neo 125M EleutherAI/gpt-neo-125m
Model Size	125m
Required VRAM	0.5 GB
Updated	2026-07-13
Maintainer	Kyleyee
Model Type	gpt_neo
Model Files	0.5 GB 0.0 GB
Model Architecture	GPTNeoForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.48.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

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