lightseekorg/TorchSpec
A PyTorch native library for training speculative decoding models
- Stars
- 265
- Forks
- 68
- Open issues
- 1
- Last push
- 7d ago
TorchSpec star history
+3 this week
About TorchSpec
TorchSpec is a free, open-source AI inference tool by lightseekorg, written mainly in Python. A PyTorch native library for training speculative decoding models. It has 265 GitHub stars and 68 forks, and was last updated 7d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 265
- Last update
- 7d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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TorchSpec FAQ
Can I use TorchSpec commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is TorchSpec free?
Yes. TorchSpec is open source and free to use. It's released under the MIT license, a standard open-source license.
Does TorchSpec run on a Mac?
Yes. According to the project, TorchSpec works on macOS.
Does TorchSpec need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is TorchSpec still maintained?
Yes. It was last updated 7d ago and has 1 open issues on GitHub.
What are alternatives to TorchSpec?
Similar free, open-source tools include llm-action, vllm, nano-vllm, Mooncake.
Maintain TorchSpec?
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