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librepowerai/tinyllama-1.1b-chat-be
tinyllama-1.1b-chat-be is a machine learning model from librepowerai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for llama.cpp. The card lists the license as apache-2.0.
This is a big-endian version of TinyLlama-1.1B-Chat-v1.0 in GGUF format, optimized for IBM AIX on POWER architecture.
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.gguf669 MB · 100%
From the Hugging Face model README
This is a big-endian version of TinyLlama-1.1B-Chat-v1.0 in GGUF format, optimized for IBM AIX on POWER architecture.
This model is designed for use with llama-aix, a port of llama.cpp for IBM AIX.
# Download model
wget https://huggingface.co/librepower/tinyllama-1.1b-chat-be/resolve/main/tinyllama-1.1b-q4_k_m-be.gguf
# Run inference on AIX
./llama-simple -m tinyllama-1.1b-q4_k_m-be.gguf -n 128 -p "Hello, world!"
On IBM POWER9 (16 cores, 128GB RAM):
IBM Power Systems use big-endian byte order, while most modern systems use little-endian. This model has been converted using llama.cpp's endianness conversion tool to run natively on AIX without runtime conversion overhead.
This model was converted from the original little-endian GGUF using:
./llama-gguf-split --convert-be model.gguf model-be.gguf
Unlocking Power Systems through open source.
LibrePower brings modern AI and open-source tools to IBM Power Systems, extending the life and capabilities of enterprise infrastructure.
Original model by Zhang et al. (TinyLlama team):
@article{tinyllama,
title={TinyLlama: An Open-Source Small Language Model},
author={Zhang, Peiyuan and Guangtao, Zeng and Wang, Tianduo and Lu, Wei},
journal={arXiv preprint arXiv:2401.02385},
year={2024}
}