What are the hardware requirements for GPT2.5.5 Awakened.Thinker 0.1B?

GPT2.5.5 Awakened.Thinker 0.1B requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT2.5.5 Awakened.Thinker 0.1B and how large is it?

GPT2.5.5 Awakened.Thinker 0.1B is developed by GODsStrongestSoldier, a model with 0.1b 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 GPT2.5.5 Awakened.Thinker 0.1B?

GPT2.5.5 Awakened.Thinker 0.1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT2.5.5 Awakened.Thinker 0.1B by GODsStrongestSoldier — VRAM 0.5GB

Name: GPT2.5.5 Awakened.Thinker 0.1B
Author: GODsStrongestSoldier

GPT2.5.5 Awakened.Thinker 0.1B is an open-source language model by GODsStrongestSoldier. Features: 0.1b LLM, VRAM: 0.5GB, License: mit, LLM Explorer Score: 0.25.

Base model:finetune:openai-com... Base model:openai-community/gp... Dataset:withinusai/gpt5.5 thin... Dataset:withinusai/gpt 5.5 dis... Distillation En Endpoints compatible Finetuned Full-fine-tune Gpt2 Reasoning Region:us Safetensors Thinking Withinusai

Model Card on HF 🤗: https://huggingface.co/GODsStrongestSoldier/GPT2.5.5-Awakened.Thinker-0.1B

GPT2.5.5 Awakened.Thinker 0.1B Parameters and Internals

LLM Name	GPT2.5.5 Awakened.Thinker 0.1B
Repository 🤗	https://huggingface.co/GODsStrongestSoldier/GPT2.5.5-Awakened.Thinker-0.1B
Base Model(s)	Gpt2 openai-community/gpt2
Model Size	0.1b
Required VRAM	0.5 GB
Updated	2026-06-06
Maintainer	GODsStrongestSoldier
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	5.0.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the GPT2.5.5 Awakened.Thinker 0.1B 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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