What are the hardware requirements for PlayPart AI Personal Trainer?

PlayPart AI Personal Trainer requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PlayPart AI Personal Trainer and how large is it?

PlayPart AI Personal Trainer is developed by Lukamac, a model with 124.4m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate PlayPart AI Personal Trainer?

PlayPart AI Personal Trainer is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PlayPart AI Personal Trainer by Lukamac — VRAM 0.5GB

Name: PlayPart AI Personal Trainer
Author: Lukamac

PlayPart AI Personal Trainer is an open-source language model by Lukamac. Features: 124.4m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.15.

Base model:finetune:openai-com... Base model:openai-community/gp... Dataset:lizziepika/strava acti... Dataset:lukamac/megagym datase... Deploy:azure En Endpoints compatible Fitness Gpt2 Gym Region:us Safetensors Sports

Model Card on HF 🤗: https://huggingface.co/Lukamac/PlayPart-AI-Personal-Trainer

PlayPart AI Personal Trainer Parameters and Internals

LLM Name	PlayPart AI Personal Trainer
Repository 🤗	https://huggingface.co/Lukamac/PlayPart-AI-Personal-Trainer
Base Model(s)	Gpt2 openai-community/gpt2
Model Size	124.4m
Required VRAM	0.5 GB
Updated	2026-07-07
Maintainer	Lukamac
Model Type	gpt2
Model Files	0.5 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.46.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new
Errors	replace

Rank the PlayPart AI Personal Trainer 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 Lukamac/PlayPart-AI-Personal-Trainer.