swiss-ai

/

Apertus-70B-Instruct-2509

like 184

Follow

Swiss AI Initiative 1.13k

            quantization_config = BitsAndBytesConfig(
            load_in_4bit=True,
            bnb_4bit_quant_type="nf4",
            bnb_4bit_compute_dtype=torch.bfloat16,
            bnb_4bit_use_double_quant=True,
        ) 

Getting this error when inferencing

/pytorch/aten/src/ATen/native/cuda/TensorCompare.cu:112: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion probability tensor contains either inf, nan or element < 0 failed.

CUDA error: device-side assert triggered
Search for cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with TORCH_USE_CUDA_DSA` to enable device-side assertions.

Is this compatible?