What are the hardware requirements for Distilgpt2 HC3?

Distilgpt2 HC3 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Distilgpt2 HC3 and how large is it?

Distilgpt2 HC3 is developed by pszemraj, a model with 88.2m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Distilgpt2 HC3 perform on standard benchmarks?

Distilgpt2 HC3 has the following published scores: MMLU 23.95. Compare against reference models on this page or on the LLM Explorer leaderboards.

Distilgpt2 HC3 by pszemraj — VRAM 0.3GB

Name: Distilgpt2 HC3
Author: pszemraj

Distilgpt2 HC3 is an open-source language model by pszemraj. Features: 88.2m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.1, Arc: 24.7, HellaSwag: 28, MMLU: 24.

Chatgpt Dataset:pszemraj/hc3-textgen-q... En Endpoints compatible Generated from trainer Gpt2 Hc3 Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pszemraj/distilgpt2-HC3

Distilgpt2 HC3 Parameters and Internals

Model Type

text-generation

Use Cases

Limitations:

This model only has 80M parameters and will likely not be factually accurate most of the time.

Additional Notes

The model is a fine-tuned version of distilgpt2 on the 'chatgpt answers' column of the `Hello-SimpleAI/HC3` dataset. It achieved a loss of 1.9983 and accuracy of 0.5441 on the evaluation set.

Training Details

Data Sources:

pszemraj/HC3-textgen-qa

LLM Name	Distilgpt2 HC3
Repository 🤗	https://huggingface.co/pszemraj/distilgpt2-HC3
Model Size	88.2m
Required VRAM	0.3 GB
Updated	2026-08-05
Maintainer	pszemraj
Model Type	gpt2
Model Files	0.3 GB 0.3 GB 0.0 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.27.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the Distilgpt2 HC3 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 Distilgpt2 HC3

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Leo DistilGPT Medical	0K / 0.4 GB	15	1
Distilgpt2	0K / 0.4 GB	2759237	634
Distilgpt2 Emailgen V2	0K / 0.3 GB	373	5
Distilgpt2 Emailgen	0K / 0.4 GB	212	4
Distilgpt2 Fables Demo	0K / 0.3 GB	12	0
Distilgpt2 Nepali	0K / 0.3 GB	54	7
Distilgpt2 Tiny Conversational	0K / 0.3 GB	386	5

Note: green Score (e.g. "73.2") means that the model is better than pszemraj/distilgpt2-HC3.