Run on 16GB VRAM
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- Dominant language
- Python
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Description
If is possible to run it somehow on rtx 5070 ti by vllm?
I run fara in llm studio (quantitation model) but cant connect to Magentic-UI by compatibility with openai endpoint. I got some problem about not proper return object from llm studio.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no repository files, tests, or entry points. Start by reproducing the RTX 5070 Ti/vLLM or LM Studio OpenAI-compatible endpoint setup and capture the returned object; done means Fara runs within 16GB of VRAM and the endpoint returns the object Magentic-UI expects.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, api
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100