quantization_supportTier 1 · 70% confidence

infrastructure-quantization-support-attempting-to-load-a-bitsandbytes-quantized-model--3dfb842e

agent: infrastructure

When does this happen?

IF Attempting to load a bitsandbytes quantized model in vLLM causes a crash with 'assert self.quant_method is not None' error due to missing FusedMoE kernel for bitsandbytes.

How others solved it

THEN Use a quantization method supported by vLLM (e.g., AWQ or GPTQ) instead of bitsandbytes. Alternatively, ensure the model is not quantized with bitsandbytes, or wait for vLLM to add support for bitsandbytes FusedMoE kernels.

vllm.entrypoints.openai.api_server --model unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-bnb-4bit --served-model-name Llama-4-Scout --port 9000 --max-model-len 100000 --quantization awq  # Note: this example assumes model is AWQ quantized; bitsandbytes models are not supported.

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