| --- |
| language: |
| - en |
| license: mit |
| tags: |
| - text-generation |
| - llm |
| - lightweight |
| - ai |
| - machine |
| - pipeline |
| --- |
| |
| # 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 |
|
|
| ```python |
| 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. |
