Created
December 25, 2023 18:10
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push bnb 4 bit models on the hub
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| # pip install -U bitsandbytes | |
| # pip install -U git+https://github.com/huggingface/transformers.git | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1" | |
| path_to_hub = XXX | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True) | |
| model.push_to_hub(path_to_hub) | |
| tokenizer.push_to_hub(path_to_hub) |
Facing this issue
RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM:
size mismatch for model.layers.0.mlp.gate_proj.weight: copying a param with shape torch.Size([2097152, 1]) from checkpoint, the shape in current model is torch.Size([4096, 1024]).
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Hey Thanks a lot it worked