ROCm / ROCm/FastFlowLM

Model Request: NuExtract 3

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model request
Dominant language
C++
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

HuggingFace repo: (https://huggingface.co/numind/NuExtract3)

What it does:

Overview

- Structured extraction: input (text/images) + JSON template + instructions --> JSON output
- Markdown conversion: input (text/images) --> Markdown
- Multimodal inputs: text, images, or text + images.
- Multilingual documents.
- Reasoning and non-reasoning inference modes.
- Template generation for structured extraction from natural language or input document.

It has a 4GB memory footprint, making it perfect for background operations on the NPU while the GPU is used for other tasks.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No FastFlowLM files, tests, or entry points are named. Start by reviewing the NuExtract3 Hugging Face repository and FastFlowLM's existing model support to determine whether its multimodal, structured-extraction, and NPU requirements fit; done means the project can support the requested model capabilities.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
ai, embedded-iot
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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