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BnB dtype error in SwitchedLoRALinear - When BitsAndBytes quantizes base layers, the weight dtype becomes uint8. SwitchedLoRALinear.init used base_layer.weight.dtype to allocate LoRA params, causing them to be uint8 instead of float which breaking LoRA computation.
OOM on A100 80GB with BnB loading - BnB holds full-precision weights during quantization pass. Default gpu_memory_utilization=0.8 caused OOM.
Activity
Add quantization tests for HF backend
Add quantization tests for HF backend (#19)
ItzikVa commentedon May 13, 2026
vllm quantization issues using BnB:
Fix BnB quantization dtype error in vLLM SwitchedLoRALinear
Fix BnB quantization dtype error in vLLM SwitchedLoRALinear
Fix BnB quantization dtype error in vLLM SwitchedLoRALinear