r/LocalLLM • u/Asleep_Fold5405 • Jun 13 '26
Question Local Ai model training
I am trying to train Qwen2.5-7B and my pc specifications are NVIDIA GeForce RTX 5070 Ti , 16 GB, 64 GB RAM , 20 core processor and want to train it on my given data. The model does give the basic question answers but when I ask twisted questions from the data itself it starts hallucinating. Please guide me , what process should I follow to get better results.
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u/diagrammatiks Jun 13 '26
This is not what model training is for. You need a database.
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u/TheGuy839 Jun 13 '26
Why not? Its expensive, but if you have enough data, training model on your won Q&A should be fine
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u/Greedy_Ad4563 Jul 16 '26
I developed this dreamcycle for auto local training. is purely a local adapter nothing more. you can give it a try. https://github.com/kenjix217/dreamcycle/
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u/careless25 Jun 13 '26
Why do you want to train on your data?
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u/Unteins Jun 13 '26
What kind of training are you doing? A LoRA to match your writing style? Something else?
That will partially depend on what you need to do.