ROCm / ROCm/FastFlowLM

Fine-tuned model support?

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Dominant language
C++
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Description

Is there any way we could end up having it so that we can launch a model with QLoRA based fine-tuning performed on it? Is there a way to serve our own custom models?

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Research direction

The issue names no files, tests, or entry points. First clarify which QLoRA outputs and custom model formats should be supported, then trace the existing model-launch and serving paths to determine the scope and define acceptance criteria for loading and serving a fine-tuned model.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
ai, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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