amitshekhariitbhu/transformers-explained
Transformer architecture explained step by step - the full architecture, every attention variant, positional embeddings, and every layer inside a Transformer.
- Stars
- 226
- Forks
- 25
- Open issues
- 0
- Last push
- 3mo ago
About transformers-explained
transformers-explained is a free, open-source LLM chat app by amitshekhariitbhu. Transformer architecture explained step by step - the full architecture, every attention variant, positional embeddings, and every layer inside a Transformer. It has 226 GitHub stars and 25 forks, and was last updated 3mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- –
- Stars
- 226
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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transformers-explained FAQ
Is transformers-explained free?
Yes. transformers-explained is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does transformers-explained run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does transformers-explained need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is transformers-explained still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to transformers-explained?
Similar free, open-source tools include Hands-On-Large-Language-Models, Qwen, RWKV-LM, gpt_academic.