Related Issues (20)
- W4A4 in llama2-7b HOT 4
- AttributeError: 'FalconAttention' object has no attribute 'maybe_rotary' HOT 1
- TypeError: FalconRotaryEmbedding.forward() missing 1 required positional argument: position_ids
- Why is the compressed file one file instead of the pre trained weights, where there are many files for training the mode HOT 1
- Is activation get quantized on-the-fly? HOT 5
- Llama-3-8B HOT 5
- OPT-30B
- Questions regarding Infusing Omniquant into MLC HOT 3
- Some questions about the results of weight only quantification in the paper
- Which bug do you fix for auto_gptq HOT 1
- How to accelerate the inference speed with real_quant HOT 3
- Questions about quantization
- Questions about quantization
- The llama-1-65b model seems unstable in this code HOT 2
- [Model Request] MiniCPM
- question about let
- [New Feature] Seek MLA Supported by Smooth
- Quantify tinyllama-1.1B-Chat-v1.0, a CUDA assertion error occurred
- The version of transformers, auto_gptq, autoawq
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat2 in method wrapper_CUDA_bmm) HOT 2
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