What are the hardware requirements for Alpaca Tuned Gpt2?

Alpaca Tuned Gpt2 requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Alpaca Tuned Gpt2 and how large is it?

Alpaca Tuned Gpt2 is developed by LordNoah, a model with 774m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Alpaca Tuned Gpt2 perform on standard benchmarks?

Alpaca Tuned Gpt2 has the following published scores: MMLU 27.22. Compare against reference models on this page or on the LLM Explorer leaderboards.

Alpaca Tuned Gpt2 by LordNoah — VRAM 3.1GB

Name: Alpaca Tuned Gpt2
Author: LordNoah

Alpaca Tuned Gpt2 is an open-source language model by LordNoah. Features: 774m LLM, VRAM: 3.1GB, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 26.5, HellaSwag: 44.8, MMLU: 27.2, GSM8K: 0.8.

Arxiv:1910.09700 Autotrain compatible Dataset:tatsu-lab/alpaca En Endpoints compatible Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LordNoah/Alpaca-tuned-gpt2

Alpaca Tuned Gpt2 Parameters and Internals

Model Type

GPT-2

Training Details

Data Sources:

tatsu-lab/alpaca

LLM Name	Alpaca Tuned Gpt2
Repository 🤗	https://huggingface.co/LordNoah/Alpaca-tuned-gpt2
Model Size	774m
Required VRAM	3.1 GB
Updated	2025-02-02
Maintainer	LordNoah
Model Type	gpt2
Model Files	3.1 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.36.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the Alpaca Tuned Gpt2 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

Best Alternatives to Alpaca Tuned Gpt2

Best Alternatives	Context / RAM	Downloads	Likes
Gpt2 Large Sft	0K / 3.1 GB	17	0
Gpt2 Large Sft Anthropic Hh	0K / 1.6 GB	10	0
Gpt2 Large Sft Golden Hh	0K / 1.6 GB	5	0
Gpt2 Large Sft Imdb	0K / 1.6 GB	6	0
ProtGPT2 With Pad	0K / 3.1 GB	9	0
...T2 774M CINDER SHOW MULTI CHAT	0K / 0 GB	87	2
Alpaca Refine Gpt2 E1 Se0	0K / 3.1 GB	1081	0
Alpaca Spin Gpt2 E0 Se1	0K / 3.1 GB	1082	0
Alpaca Spin Gpt2 E1 Se0	0K / 3.1 GB	1066	0
Alpaca Refine Gpt2 E0 Se1	0K / 3.1 GB	1071	0

Note: green Score (e.g. "73.2") means that the model is better than LordNoah/Alpaca-tuned-gpt2.