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The_GuageLLM_23M
Hai929/The_GuageLLM_23M
The_GuageLLM_23M is a text generation model from Hai929. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
GuageLLM-23M is a lightweight GPT-style language model (~23 million parameters) trained from scratch for experimentation, learning, and fast local inference.
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23M
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Dec 12, 2025
- Updated
- Jan 15, 2026
- SHA
- dc4865e4
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Model card
From the Hugging Face model README
GuageLLM-12M
GuageLLM-23M is a lightweight GPT-style language model (~23 million parameters) trained from scratch for experimentation, learning, and fast local inference.
This model is designed to be simple, transparent, and easy to run on CPUs while still demonstrating real transformer behavior.
🔹 Model Details
- Architecture: GPT-2 style (decoder-only transformer)
- Parameters: ~23M
- Context Length: 64 tokens
- Vocabulary Size: Custom tokenizer
- Training: From scratch
- Framework: 🤗 Transformers (PyTorch)
🔹 Intended Use
GuageLLM-23M is intended for:
- Learning how transformers work internally
- Small-scale text generation experiments
- CPU-friendly inference
- Research, education, and tinkering
⚠️ This model is not intended for production or safety-critical applications.
🔹 Usage
Text Generation (Pipeline)
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="Hai929/GuageLLM_23M",
trust_remote_code=True
)
pipe("The cat")
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Languages
- en
- Created
- Dec 12, 2025
- Updated
- Jan 15, 2026