Spaces:
Sleeping
A newer version of the Gradio SDK is available:
6.6.0
title: AlpineLLM Live Demo
emoji: 🏔️
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hf_oauth: true
hf_oauth_scopes:
- inference-api
license: mit
short_description: A domain-specific language model for alpine storytelling.
AlpineLLM Live Demo
A domain-specific language model for alpine storytelling.
Try asking about mountain adventures! 🏔️
About AlpineLLM
AlpineLLM-Tiny-10M-Base is a lightweight base language model with ~10.8 million trainable parameters. It was pre-trained from scratch on raw text corpora drawn primarily from public-domain literature on alpinism, including expedition narratives and climbing essays.
This demo showcases the model’s text generation capabilities within its specialized domain. Please note that AlpineLLM is a base model, and it has not been fine-tuned for downstream tasks such as summarization or dialogue. Its outputs reflect patterns learned directly from the training texts.
This space shows a free CPU-only demo of the model, so inference may take a few seconds. Text generation of the tiny model may lack full coherence due to its limited size and character-level tokenization. For improved results, consider using the source repository to load larger pretrained weights and run inference on a GPU.
Complete source code and full model documentation is available in the related repositories.
Related Repositories
How to install?
The software has been tested on Ubuntu 20.04 with CUDA 12.2 and Python3.10.
Please use a Python virtual environment to install the dependencies:
python3.10 -m venv venv_AlpineLLM
source venv_AlpineLLM/bin/activate
pip install -r requirements.txt
How to start?
The application starts automatically upon pushing changes to the Hugging Face Space. For local development, please run:
python app.py
Contact and technical support
- Bartek Borzyszkowski
Web: borzyszkowski.github.io