Comments (3)
Maybe now I can make it workable.
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Did we ever get this working? I tried doing the same with https://huggingface.co/nomic-ai/gpt4all-lora, but I had no luck.
This is the notebook I am working on: https://colab.research.google.com/drive/1cUab6I8kf5FMvdCYJGRaqMqKvMpcVJ0F?usp=sharing
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Hey @qwopqwop200 were we able to make this work?
I get an error when attempting to quantize the above setup.
Something along the lines that model.model
does not have the attribute layers
Line 29 in 5731aa1
Turns out the layers are in model.model.model.layers
, but that would only get the base model layers and not the LoRA ones too, right?
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Related Issues (20)
- llama_inference 4bits error
- inference with the saved model error: AttributeError: module 'torch.backends.cuda' has no attribute 'sdp_kernel' HOT 2
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- can it support openllama model?
- Issue with GPTQ HOT 1
- High PPL when groupsize != -1 for OPT model after replace linear layer with quantlinear. HOT 1
- Help: Quantized llama-7b model with custom prompt format produces only gibberish HOT 1
- Why does the model quantization prompt KILLED at the end? HOT 2
- Would GPTQ be able to support LLaMa2? HOT 1
- Can i quantize HF version of llama model
- Transformers broke again (AttributeError: 'GPTQ' object has no attribute 'inp1') HOT 1
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