Comments (1)
You should be able to run pip install --upgrade transformers
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Related Issues (20)
- CUDA error: no kernel image is available for execution on the device HOT 1
- Quantitative model report wrong, RuntimeError: Expected all tensors to be on the same device HOT 7
- cant import awq HOT 3
- Memory-efficient quantization: Load and quantize layer by layer
- What‘s the difference between llm-awq and this? HOT 1
- Support 3-bit and 2-bit quantization with the FLUTE kernel. HOT 2
- ImportError: cannot import name 'initialize_tasks' from 'lm_eval.tasks' HOT 1
- about the shape of qzeros in awq quantization model HOT 2
- AutoAWQ models like qwen2, mistral and aquila, the Fuser class should pass the `rope_theta` argument when initializing the LlamaLikeBlock.
- request: update prereq list to show supported python versions HOT 2
- error when quantizing my finetuned 405b model using autoawq HOT 7
- Slowed Down After Quantizing Fine-Tuned gemme-2b-it Model
- Error when quantizing the Qwen2-7B model HOT 1
- NotImplementedError: Only 4-bit are supported for now.
- use autoawq quantizing Qwen2-72B-Instruct error HOT 2
- not support group_size=-1
- hello, i have UserWarning: AutoAWQ could not load GEMM kernels extension, is it means gemm that not take effect
- Is it possible to remove fixed torch version? HOT 2
- 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
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