Support RKLLM
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enhancement
roadmap
up for grabs
- Dominant language
- Go
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- Avg merge
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- Merged PRs (30d)
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Description
I'd like the option to use the AI accelerators exposed on Rockchip devices, such as the Quartz64
Contributor guide
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
Start by reviewing the linked airockchip/rknn-llm project and LocalAI's existing model-backend integration points. Determine how RKLLM should be exposed for Rockchip devices such as the Quartz64; done means users can select and run an RKLLM-backed model through LocalAI.
Written by the indexing model from the issue text.
Assessment
- Domain
- ai, embedded-iot, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100