EleutherAI/gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
- Stars
- 7.5k
- Forks
- 1.1k
- Open issues
- 75
- Last push
- 11d ago
About gpt-neox
gpt-neox is a free, open-source AI developer tool by EleutherAI, written mainly in Python. An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries. It has 7.5k GitHub stars and 1.1k forks, and was last updated 11d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 7,473
- Last update
- 11d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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gpt-neox FAQ
Is gpt-neox free?
Yes. gpt-neox is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does gpt-neox run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does gpt-neox need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is gpt-neox still maintained?
Yes. It was last updated 11d ago and has 75 open issues on GitHub.
What are alternatives to gpt-neox?
Similar free, open-source tools include dsh-our-free-model, lm-evaluation-harness, lmms-eval, client.