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Hai929/The_GuageLLM_23M

🤗 Hugging Face 来源text-generationapache-2.023M 参数92 MBsafetensors✓ 1 个校验和今天更新
磁力链接🌱 1✓ 与 Hugging Face 一致

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")