What are the hardware requirements for Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407?

Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 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 Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407?

Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 by francesca9805 — VRAM 0.2GB

Name: Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407
Author: francesca9805

Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 is an open-source language model by francesca9805. Features: 86.5m LLM, VRAM: 0.2GB, LLM Explorer Score: 0.3.

Base model:finetune:goldfish-m... Base model:goldfish-models/eng... Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/francesca9805/ppt-wc-zipf-newlex-swe-before-100mb-packed-bfdiso_seed3407

Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 Parameters and Internals

LLM Name	Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407
Repository 🤗	https://huggingface.co/francesca9805/ppt-wc-zipf-newlex-swe-before-100mb-packed-bfdiso_seed3407
Model Name	ppt-wc-zipf-newlex-swe-before-100mb-packed-bfdiso_seed3407
Base Model(s)	Eng Latn 100mb goldfish-models/eng_latn_100mb
Model Size	86.5m
Required VRAM	0.2 GB
Updated	2026-10-16
Maintainer	francesca9805
Model Type	gpt2
Model Files	0.2 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
Transformers Version	4.56.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	1379
Activation Function	gelu

Rank the Ppt Wc Zipf Newlex Swe Before 100mb Packed Bfdiso Seed3407 capabilities

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
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Note: green Score (e.g. "73.2") means that the model is better than francesca9805/ppt-wc-zipf-newlex-swe-before-100mb-packed-bfdiso_seed3407.