Related Issues (20)
- NotImplementedError: Only 4-bit are supported for now.
- use autoawq quantizing Qwen2-72B-Instruct error HOT 3
- not support group_size=-1
- hello, i have UserWarning: AutoAWQ could not load GEMM kernels extension, is it means gemm that not take effect HOT 1
- Is it possible to remove fixed torch version? HOT 3
- Converting finetuned Llama 3.1 using LORA into AWQ HOT 2
- RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 1
- Quantize a 70B model on a 80GB VRAM VM HOT 3
- Question regarding scaling activations in _load_quantized_modules method HOT 2
- Possible unnecessary line in quantizer.py
- modules_to_not_convert cannot be stored in the checkpoint
- support torch (2.4.0) HOT 2
- After AWQ quantization, the output cannot be stopped normally HOT 2
- Excellent Cooperation Opportunities with a Top AI Platform
- Calibration on Custom data for multimodel [image + text]
- Does AutoAWQ support multi-threading CPU?
- Model quantize error HOT 2
- 7B HOT 4
- Multi-Node Quantization using Ray? HOT 2
- assert self.in_features % self.group_size == 0 HOT 1
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