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[intel] skip xpu fbgemm fp8 #3625

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Merged
danielhanchen merged 5 commits into from
Dec 11, 2025
Merged

[intel] skip xpu fbgemm fp8 #3625

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fa786c5
skip xpu fbgemm fp8
leizhenyuan Nov 21, 2025
da71450
Apply suggestion from @gemini-code-assist[bot]
leizhenyuan Nov 27, 2025
711f8a5
Merge branch 'main' into zhenyuan_fix_intel
leizhenyuan Dec 11, 2025
e2d7cbd
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Dec 11, 2025
9b71c19
Apply suggestion from @danielhanchen
danielhanchen Dec 11, 2025
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25 changes: 14 additions & 11 deletions unsloth/models/_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2311,17 +2311,20 @@ def verify_fp8_support_if_applicable(model_config):
raise ValueError(
f"Unsloth: FP8 quantization is only supported on CUDA GPUs. You are using {DEVICE_TYPE}."
)
major_version, minor_version = torch.cuda.get_device_capability()
if quant_method == "fbgemm_fp8" and major_version < 9:
# While L4 does support FP8 as data type, it doesn't have fbgemm (package) support yet. So we restrict it.
raise ValueError(
f"Unsloth: FBGEMM FP8 quantization is only supported on H100 and higher GPUs. L4 is not supported. You are using {torch.cuda.get_device_name()}. Refer to https://developer.nvidia.com/cuda-gpus for more details."
)
if quant_method == "fp8" and major_version * 10 + minor_version < 89:
# In case of block quantized, we allow L4 because we fall back to torchao kernels.
raise ValueError(
f"Unsloth: FP8 quantization is only supported on L4 and higher GPUs with compute capability 8.9 or higher. You are using {torch.cuda.get_device_name()}. Refer to https://developer.nvidia.com/cuda-gpus for more details."
)

# [TODO] Need to add FP8 support for Intel XPUs
if DEVICE_TYPE == "cuda":
major_version, minor_version = torch.cuda.get_device_capability()
if quant_method == "fbgemm_fp8" and major_version < 9:
# While L4 does support FP8 as data type, it doesn't have fbgemm (package) support yet. So we restrict it.
raise ValueError(
f"Unsloth: FBGEMM FP8 quantization is only supported on H100 and higher GPUs. L4 is not supported. You are using {torch.cuda.get_device_name()}. Refer to https://developer.nvidia.com/cuda-gpus for more details."
)
if quant_method == "fp8" and major_version * 10 + minor_version < 89:
# In case of block quantized, we allow L4 because we fall back to torchao kernels.
raise ValueError(
f"Unsloth: FP8 quantization is only supported on L4 and higher GPUs with compute capability 8.9 or higher. You are using {torch.cuda.get_device_name()}. Refer to https://developer.nvidia.com/cuda-gpus for more details."
)


def _get_inference_mode_context_manager(model: torch.nn.Module):
Expand Down