microsoft / microsoft/TransformerCompression
Loading models is not easy with `from_pretrained`
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Description
Hi team,
First off, thanks for the excellent repo and great work.
I was able to slice a model but when I am trying to load it using AutoModelForCausalLM.from_pretrained(), I am getting the following error
OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory /xxx/TransformerCompression/experiments/llama_7b_0.25.
I've checked all the issues mentioned but am unable to find a proper fix. Please guide as it will be super helpful :)
Something like the below would be helpful as the other codebases just load the model using AutoModelForCausalLM.from_pretrained() and it's not feasible to modify all the other codebases :(
Looking forward
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by examining how sliced models are saved and how the resulting directory is passed to AutoModelForCausalLM.from_pretrained(). Reproduce the missing-model-file error with the directory described in the issue, then verify that a sliced model can be loaded through the standard from_pretrained() call without modifying downstream code.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100