Related Issues (20)
- RuntimeError: slow_conv2d_forward_mps: input(device='cpu') and weight(device=mps:0') HOT 1
- OOM when loading 300B models with `AutoModelForCausalLM.from_pretrained` and `BitsAndBytesConfig` quantization. HOT 3
- A question about the implementation of Sinkcache. HOT 2
- Multi-GPU inference affects LLM's (Llama2-7b-chat-hf) generation.
- `pip install accelerate` (and similar) error messages should specify min version HOT 1
- Incorrect docstring of `get_anyres_image_grid_shape` HOT 4
- Correct way to output attentions in BERT Model HOT 1
- SPAM
- `self.projection` is unnecessarily called twice in `VivitTubeletEmbeddings` HOT 1
- Unable to export Phi-3-vision model to PyTorch exported program HOT 1
- When max_steps < save_steps with deepspeed zero3 stage HOT 3
- New `save_strategy` option called "best" to save when a new best performance is achieved. HOT 1
- Tokenizer discard data that exceed max_length HOT 3
- The behavior of the tokenizer loaded from GGUF file is incorrect. HOT 3
- `convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.py` does not work due to weight norm key HOT 3
- Please reopen issue #30361
- No module named 'transformers.models.starcoder2' HOT 1
- Using batching with pipeline and transformers HOT 5
- return_dict in encodec is always set to True: HOT 2
- AutoTokenizer: Phi-3 drops spaces when decodes a token at a time HOT 1
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