What are the hardware requirements for GPT 2 Fine Tuned Mental Health?

GPT 2 Fine Tuned Mental Health requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT 2 Fine Tuned Mental Health and how large is it?

GPT 2 Fine Tuned Mental Health is developed by TheCarBun, 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 GPT 2 Fine Tuned Mental Health?

GPT 2 Fine Tuned Mental Health is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT 2 Fine Tuned Mental Health by TheCarBun — VRAM 0.5GB

Name: GPT 2 Fine Tuned Mental Health
Author: TheCarBun

GPT 2 Fine Tuned Mental Health is an open-source language model by TheCarBun. Features: 124.4m LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.17.

Conversational-ai Dataset:custom-dataset Dataset:kaggle En Endpoints compatible Gpt-2 Gpt2 Mental-health Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheCarBun/GPT-2-fine-tuned-mental-health

GPT 2 Fine Tuned Mental Health Parameters and Internals

LLM Name	GPT 2 Fine Tuned Mental Health
Repository 🤗	https://huggingface.co/TheCarBun/GPT-2-fine-tuned-mental-health
Model Size	124.4m
Required VRAM	0.5 GB
Updated	2026-07-24
Maintainer	TheCarBun
Model Type	gpt2
Model Files	0.5 GB 0.0 GB
Supported Languages	en
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.47.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float32
Activation Function	gelu_new

Rank the GPT 2 Fine Tuned Mental Health 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 TheCarBun/GPT-2-fine-tuned-mental-health.