Comments (4)
I guess same as #31200
from transformers.
yes ,the llama and mistral both cause this error,i submit two issue,but no reply ,so do you konw how to fix it? @zucchini-nlp
from transformers.
No, you tagged the right people in issue description. I just wanted to link related issue to each other
from transformers.
I had the same problem
from transformers.
Related Issues (20)
- Running AutoTokenizer.from_pretrained with Mistral V3 is actually loading LlamaTokenizer HOT 6
- Idefics 2: shape mismatch: value tensor of shape [320, 4096] cannot be broadcast to indexing result of shape [0, 4096] HOT 5
- Problems when using SinkCache for model.generate() HOT 6
- https://github.com/VikParuchuri/surya can not convert model to onnx HOT 5
- AttributeError: module 'torch.utils._pytree' has no attribute 'register_pytree_node' during import in transformers
- Sinusoidal Position Embedding weights somehow get altered HOT 1
- MPS
- loss = 0 after first log with trainer API HOT 3
- LLM Cache HOT 2
- Add llama3-llava-next-8b to convert_llava_next_weights_to_hf.py
- MultiScaleDeformableAttentionFunction different results on different devices HOT 5
- SiqlipVisionModel does not support "device map= auto": no split modules`attribute HOT 8
- logging format HOT 1
- transformers unable to run whisper on MPS from version 4.40.0 onwards HOT 1
- Dropout sync across GPUs causes major performance drops HOT 10
- When tranining the RWKV, it report "backward error" HOT 5
- Question about LlavaProcessor HOT 2
- Segmentation fault python3 when attempting T5ForConditionalGeneration.from_pretrained("t5-small") HOT 5
- use_cache=False makes a huge difference in Paligemma HOT 2
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from transformers.