Trampoline-AI/predict-rlm
Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get full
- Stars
- 436
- Forks
- 47
- Open issues
- 6
- Last push
- today
About predict-rlm
predict-rlm is a free, open-source LLM chat app by Trampoline-AI, written mainly in Python. Production focused Self-harnessed LM runtime (RLM) that allows the LM to call its sub-lm with DSPy signatures. Define your inputs, outputs, and tools — the model handles its own control flow. Get full. It has 436 GitHub stars and 47 forks, and was last updated today. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 436
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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predict-rlm FAQ
Is predict-rlm free?
Yes. predict-rlm is open source and free to use. It's released under the MIT license, a standard open-source license.
Does predict-rlm run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does predict-rlm need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is predict-rlm still maintained?
Yes. It was last updated today and has 6 open issues on GitHub.
What are alternatives to predict-rlm?
Similar free, open-source tools include self-llm, Open-LLM-VTuber, open-webui, llm_interview_note.