Related Issues (20)
- need support for transformers > 4.38 HOT 2
- [QST] AWQ Kernels
- RuntimeError: expected mat1 and mat2 to have the same dtype HOT 4
- weird error with python convert-to-awq.py HOT 1
- CUDA out of memory when quantize 32B model HOT 2
- Support for JAIS HOT 1
- v0.2.5 issue tracker HOT 4
- GPU not detected HOT 1
- didn't support ZeRO3? HOT 2
- gemv_fast kernel only suppor 128 group_size HOT 1
- DeepSeek-VL support HOT 2
- GEMV_fast error HOT 3
- can autoawq support int2,int3,int8 quantization? HOT 3
- AttributeError: 'LlavaForConditionalGeneration' object has no attribute 'quantize' HOT 3
- VLM quantization-aware? HOT 1
- using autoawq to quantize gemma-2b-it model and export to llama.cpp got wrong generated token
- Bug - mixtral qlora(after b&b peft train) quantization broadcast problem HOT 3
- [BUG] Load StarCoder2 AWQ using Transformers HOT 1
- Inference Parallelism Issue HOT 1
- quick question around Token indices sequence length is longer than the specified maximum sequence length for this model (77697 > 32768). Running this sequence through the model will result in indexing errors
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from autoawq.