What are the hardware requirements for Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10?

Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10?

Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 by fpadovani — VRAM 0.2GB

Name: Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10
Author: fpadovani

Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 is an open-source language model by fpadovani. Features: 124.8m LLM, VRAM: 0.2GB, LLM Explorer Score: 0.28.

Base model:finetune:fpadovani/... Base model:fpadovani/ppt-wc-un... Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/fpadovani/jpn-100mb-after-wc-uniform-oldlex-eng-ckpt500_seed10_seed10

Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 Parameters and Internals

LLM Name	Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10
Repository 🤗	https://huggingface.co/fpadovani/jpn-100mb-after-wc-uniform-oldlex-eng-ckpt500_seed10_seed10
Model Name	jpn-100mb-after-wc-uniform-oldlex-eng-ckpt500_seed10_seed10
Base Model(s)	...niform Oldlex Eng 100mb Seed10 fpadovani/ppt-wc-uniform-oldlex-eng-100mb_seed10
Model Size	124.8m
Required VRAM	0.2 GB
Updated	2026-09-17
Maintainer	fpadovani
Model Type	gpt2
Model Files	0.2 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
Transformers Version	4.56.2
Tokenizer Class	AlbertTokenizer
Padding Token	<pad>
Vocabulary Size	51200
Activation Function	gelu

Rank the Jpn 100mb After Wc Uniform Oldlex Eng Ckpt500 Seed10 Seed10 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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Note: green Score (e.g. "73.2") means that the model is better than fpadovani/jpn-100mb-after-wc-uniform-oldlex-eng-ckpt500_seed10_seed10.