shadow-llm 🖤
Fast. Lean. Runs in the dark.
shadow-llm is a lightweight language model designed for fast inference and low resource consumption. Built for developers who need a capable model without the overhead of massive architectures.
Model description
shadow-llm is a lightweight, decoder-only language model optimized for fast inference on limited hardware. Designed with simplicity in mind, it targets everyday text generation and instruction-following tasks without the overhead of large-scale architectures. Built for developers and researchers who want a capable foundation model that stays out of the way and gets the job done.
What it does
- Text generation
- Instruction following
- Lightweight question answering
Usage
from transformers import pipeline
pipe = pipeline("text-generation", model="your-username/shadow-llm")
result = pipe("The secret to fast inference is")
print(result)
Model details
| Property | Value |
|---|---|
| Architecture | Decoder-only LLM |
| Language | English |
| License | MIT |
| Fine-tuned | No |
Limitations
This is an experimental model. Do not use in production without thorough evaluation.
Author
Built with curiosity and caffeine. Contributions welcome.