What are the hardware requirements for Instruct GPT?

Instruct GPT requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Instruct GPT and how large is it?

Instruct GPT is developed by Sharathhebbar24. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Instruct GPT perform on standard benchmarks?

Instruct GPT has the following published scores: MMLU 26.84. Compare against reference models on this page or on the LLM Explorer leaderboards.

Instruct GPT by Sharathhebbar24 — VRAM 1.4GB

Name: Instruct GPT
Author: Sharathhebbar24

Instruct GPT is an open-source language model by Sharathhebbar24. Features: LLM, VRAM: 1.4GB, License: mit, Instruction-Based, LLM Explorer Score: 0.14, Arc: 28.2, HellaSwag: 39.3, MMLU: 26.8, GSM8K: 0.3.

Dataset:databricks/databricks-... En Endpoints compatible Gpt2 Gpt2-medium Instruct Model-index Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/Sharathhebbar24/Instruct_GPT

Instruct GPT Parameters and Internals

Model Type

text-generation

Additional Notes

This model is a finetuned version of `gpt2-medium`.

Training Details

Data Sources:

databricks/databricks-dolly-15k

LLM Name	Instruct GPT
Repository 🤗	https://huggingface.co/Sharathhebbar24/Instruct_GPT
Required VRAM	1.4 GB
Updated	2026-07-27
Maintainer	Sharathhebbar24
Model Type	gpt2
Instruction-Based	Yes
Model Files	1.4 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	4.34.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the Instruct GPT 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 Instruct GPT

Best Alternatives	Context / RAM	Downloads	Likes
BrtGPT 1 Pre	0K / 0.4 GB	132	0
Math Gpt2	0K / 0.5 GB	777	0
Medical ChatBot	0K / 10.4 GB	136	10

Note: green Score (e.g. "73.2") means that the model is better than Sharathhebbar24/Instruct_GPT.