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A repository for all ZenML projects that are specific production use-cases.

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This PR brings the multi-GPU DDP showcase to the PEFT training. There are some routine steps, which can be automated in ZenML core. We will create follow-up tickets for that...

enhancement
internal

This PR brings in the pipeline to run Mistral model fine-tuning using PEFT library on Viggio dataset. Key highlights: - Project has one pipeline to run the full cycle of...

enhancement
internal

--------------------------------------------------------------------------- OperationalError Traceback (most recent call last) File [c:\Users\MUHAMMED](file:///C:/Users/MUHAMMED) RASHID\miniconda3\envs\MLOPS\lib\site-packages\sqlalchemy\engine\base.py:1900, in Connection._execute_context(self, dialect, constructor, statement, parameters, execution_options, *args, **kw) 1899 if not evt_handled: -> 1900 self.dialect.do_execute( 1901 cursor, statement, parameters,...

I'm follow this tutorials: [creating-a-production-ready-llm-powered-agent-with-zenml](https://github.com/zenml-io/zenml-projects/tree/main/llm-agents#creating-a-production-ready-llm-powered-agent-with-zenml) I have changed ![image](https://github.com/zenml-io/zenml-projects/assets/156736296/5970c59b-c35c-464f-a4fc-f742a2554634) Here is full logs ```bash /media/manhdt4/C69EA17C9EA166211/miniconda3/envs/zenml/lib/python3.11/site-packages/langchain/chat_models/__init__.py:31: LangChainDeprecationWarning: Importing chat models from langchain is deprecated. Importing from langchain will no longer be...

Uses QDoRA instead of just LoRA. This has some efficiency benefits, notably faster training without a corresponding performance loss. See [this](https://www.answer.ai/posts/2024-04-26-fsdp-qdora-llama3.html) for more details. The code on the base branch...

enhancement
internal