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GPT-Usenet
HDTenEightyP/GPT-Usenet
GPT-Usenet is a text generation model from HDTenEightyP. Use it when you need the model to write or continue text. The card lists the license as mit.
Access
Public
Updated Nov 22, 2025
Repo size
985 MB
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5
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Repo makeup
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.pt984 MB · 100%
At a glance
- Task
- Text Generation
- License
- mit
- Access
- Public
- Created
- Nov 21, 2025
- Updated
- Nov 22, 2025
- SHA
- 2f463aef
Try a prompt
Model card
From the Hugging Face model README
GPT-Usenet
An 81-million parameter LLM using GPT-2 encodings. Trained using 10GB of USENET posts along with over 1 GB of miscellaneous BBS posts, digitized books, and text documents. Supervised fine-tuning should be performed before use.
Purpose of GPT-Usenet
LLMs are all currently focused on becoming larger and larger, able to do more and more. However, this just makes them jack of all trades, master of none. GPT-Usenet takes a different approach. Instead of trying to do everything perfectly, GPT-Usenet offers a digital stem cell, which can then be finetuned into a single, specialized role and run in parallel with copies of itself.
Technical Information
| Layers | 10 |
| Heads | 10 |
| Embeddings | 640 |
| Context Window | 1024 tokens |
| Tokenizer | GPT-2 BPE |
Training Information
| Training Loss | 2.3256 |
| Validation Loss | 2.3651 |
| Device | Google Colab L4 |
| Training Time | 16 Hours |
Example Syntax
| uucp: | The path of reasoning you want GPT-Usenet to use when thinking. Use lowercase words separated by exclamation points. |
| Internet: | The system calls relevant to this email |
| Path: | The path of reasoning you want GPT-Usenet to use when writing. Use lowercase words separated by exclamation points. |
| From: | The username who sent this message |
| Sender: | The group that username belongs to |
| Newsgroups: | The broad subject field of the email. |
| Subject: | The prompt |
| Message-ID: | The type of message this is. |
| Date: | Use this field to simulate urgency or moods. |
| Organization: | The system GPT-Usenet is running on.(testing... deployment... simulation) |
| Lines: | How long the message is. |
| Write the SFT response here. First, Prefix the first sentence with > to signify that it is a Reasoning sentence. | |
| -- | The stop tokens |
uucp:!field1!field2!
Internet:simulation
Path:!field1!field2!
From:user
Sender:usergroup
Newsgroups:motorskills.papercraft
Subject:Build a paper airplane
Message-ID:Command
Date:01 Jan 01 00:00:01 GMT
Organization:deployment
Lines: 1
>Provide detailed steps on building a paper airplane.
--
For finetuning, your data should be in the .mbox format.
- Task
- Text Generation
- License
- mit
- Languages
- en
- Created
- Nov 21, 2025
- Updated
- Nov 22, 2025