What are the hardware requirements for Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455?

Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455 by francesca9805 — VRAM 0.2GB

Name: Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455
Author: francesca9805

Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455 is an open-source language model by francesca9805. Features: 124.8m LLM, VRAM: 0.2GB, LLM Explorer Score: 0.32.

Base model:finetune:francesca9... Base model:francesca9805/ppt-w... Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/francesca9805/jpn-100mb-after-wc-from-eng-uniform-newlex-before-ckpt500-packed-bfdiso_seed455

Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455 Parameters and Internals

LLM Name	Jpn 100mb After Wc From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455
Repository 🤗	https://huggingface.co/francesca9805/jpn-100mb-after-wc-from-eng-uniform-newlex-before-ckpt500-packed-bfdiso_seed455
Model Name	jpn-100mb-after-wc-from-eng-uniform-newlex-before-ckpt500-packed-bfdiso_seed455
Base Model(s)	...re 100mb Packed Bfdiso Seed455 francesca9805/ppt-wc-uniform-newlex-eng-before-100mb-packed-bfdiso_seed455
Model Size	124.8m
Required VRAM	0.2 GB
Updated	2026-10-21
Maintainer	francesca9805
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 From Eng Uniform Newlex Before Ckpt500 Packed Bfdiso Seed455 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 francesca9805/jpn-100mb-after-wc-from-eng-uniform-newlex-before-ckpt500-packed-bfdiso_seed455.