What are the hardware requirements for Cascamini Gpt2 210M Edu 5B?

Cascamini Gpt2 210M Edu 5B requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cascamini Gpt2 210M Edu 5B and how large is it?

Cascamini Gpt2 210M Edu 5B is developed by beardymcgee, a model with 5b 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 Cascamini Gpt2 210M Edu 5B?

Cascamini Gpt2 210M Edu 5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cascamini Gpt2 210M Edu 5B by beardymcgee — VRAM 0.8GB

Name: Cascamini Gpt2 210M Edu 5B
Author: beardymcgee

Cascamini Gpt2 210M Edu 5B is an open-source language model by beardymcgee. Features: 5b LLM, VRAM: 0.8GB, License: apache-2.0, LLM Explorer Score: 0.24.

Cascamini Educational En Endpoints compatible From-scratch Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/beardymcgee/cascamini-gpt2-210m-edu-5b

Cascamini Gpt2 210M Edu 5B Parameters and Internals

LLM Name	Cascamini Gpt2 210M Edu 5B
Repository 🤗	https://huggingface.co/beardymcgee/cascamini-gpt2-210m-edu-5b
Model Size	5b
Required VRAM	0.8 GB
Updated	2026-08-06
Maintainer	beardymcgee
Model Type	gpt2
Model Files	0.8 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	5.12.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the Cascamini Gpt2 210M Edu 5B 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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