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Base-mini
SpiceeChat/Base-mini
Base-mini is a text generation model from SpiceeChat. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
<p align="center" <img src="https://readme-typing-svg.demolab.com?font=Space+Grotesk&weight=600&size=22&pause=800&color=00E7FF¢er=true&vCenter=true&width=600&lines=SpiceeChat%2FBase-mini;7+Million+Parameters;Train…
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At a glance
- Task
- Text Generation
- License
- apache-2.0
- Model type
- basemini
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- 5870286b
Try a prompt
Model card
From the Hugging Face model README
<p align="center">
<img src="https://readme-typing-svg.demolab.com?font=Space+Grotesk&weight=600&size=22&pause=800&color=00E7FF¢er=true&vCenter=true&width=600&lines=SpiceeChat%2FBase-mini;7+Million+Parameters;Trained+on+Vibes+and+ML+Jargon" />
</p>
Basemini is a tiny GPT-style transformer trained from scratch on synthetic ML sentences.
For an Experiment
Load it like any HF model
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("SpiceeChat/Basemini", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("SpiceeChat/Basemini", trust_remote_code=True)
It runs on CPU. It runs on T4. It runs on a potato.
You ask it something. It gives you a sentence with the word "transformer" in it. That's the deal.
Made with sweat, tears, and torch_fallback=True. Pull requests welcome. Donations not needed. Moral support accepted.
- Task
- Text Generation
- Type
- basemini
- License
- apache-2.0
- Languages
- en
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026