What are the hardware requirements for Spin Gpt2 Medium Alpaca E3?

Spin Gpt2 Medium Alpaca E3 requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Spin Gpt2 Medium Alpaca E3 and how large is it?

Spin Gpt2 Medium Alpaca E3 is developed by LordNoah, a model with 354.8m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Spin Gpt2 Medium Alpaca E3 perform on standard benchmarks?

Spin Gpt2 Medium Alpaca E3 has the following published scores: MMLU 26.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Spin Gpt2 Medium Alpaca E3 by LordNoah — VRAM 1.4GB

Name: Spin Gpt2 Medium Alpaca E3
Author: LordNoah

Spin Gpt2 Medium Alpaca E3 is an open-source language model by LordNoah. Features: 354.8m LLM, VRAM: 1.4GB, License: mit, LLM Explorer Score: 0.16, Arc: 27.8, HellaSwag: 38.8, MMLU: 26.9.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LordNoah/spin_gpt2_medium_alpaca_e3

Spin Gpt2 Medium Alpaca E3 Parameters and Internals

Model Type

>More Information Needed<

LLM Name	Spin Gpt2 Medium Alpaca E3
Repository 🤗	https://huggingface.co/LordNoah/spin_gpt2_medium_alpaca_e3
Model Size	354.8m
Required VRAM	1.4 GB
Updated	2025-02-02
Maintainer	LordNoah
Model Type	gpt2
Model Files	1.4 GB
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	4.38.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the Spin Gpt2 Medium Alpaca E3 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 LordNoah/spin_gpt2_medium_alpaca_e3.