BitNet-Transformers
0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
Train large language models using a specific method that reduces memory usage on your computer.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
BitNet-Transformers has 316 stars on GitHub. It has been forked 35 times. BitNet-Transformers is written mainly in Python. It has been in active development since 2023. Its main topics are llm, quantization, quantization-aware-training, transformers.
What is BitNet-Transformers?
0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
Is BitNet-Transformers open source?
BitNet-Transformers is an open-source project.
Is BitNet-Transformers free?
Yes. BitNet-Transformers is free and open source — you can use, modify and self-host it.
What language is BitNet-Transformers written in?
BitNet-Transformers is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/beomi-bitnet-transformers.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.