NVIDIA / NVIDIA/TensorRT-Model-Connect
Feature: Enable a self-service import path for customer-proprietary models, allowing customers to import their models without sharing model architecture or weights with NVIDIA.
Open
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New Feature Request
- Dominant language
- Python
- Stars
- 254
- Forks
- 58
- Avg merge
- 1d 7h
- Merged PRs (30d)
- 235
Description
Request type
New model or checkpoint support
Problem and use case
for customers who have proprietary models that they cannot share model/weights with NV/TRT
Proposed outcome
Enable user to self import their proprietary models
Model and target details
No response
Alternatives considered
No response
Additional context
No response
Submission checks
- I searched open and closed issues and found no duplicate request.
- I removed secrets, private/internal evidence, personal paths, and restricted artifacts.
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
The issue names no files, tests, model formats, or entry points. Begin by locating the repository's existing model or checkpoint import path, then clarify how customers would provide proprietary models without sharing architecture or weights. Done criteria should specify supported inputs, validation, and an end-to-end test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100