2noise/ChatTTS · error · ValueError
load format '{load_format}' is not supported in ROCm. Suppor
Error message
load format '{load_format}' is not supported in ROCm. Supported load format are {rocm_supported_load_format} What it means
Error "load format '{load_format}' is not supported in ROCm. Supported load format are {rocm_supported_load_format}" thrown in 2noise/ChatTTS.
Source
Thrown at ChatTTS/model/velocity/configs.py:135
self._verify_quantization()
self._verify_cuda_graph()
def _verify_load_format(self) -> None:
load_format = self.load_format.lower()
supported_load_format = ["auto", "pt", "safetensors", "npcache", "dummy"]
rocm_not_supported_load_format = []
if load_format not in supported_load_format:
raise ValueError(
f"Unknown load format: {self.load_format}. Must be one of "
"'auto', 'pt', 'safetensors', 'npcache', or 'dummy'."
)
if is_hip() and load_format in rocm_not_supported_load_format:
rocm_supported_load_format = [
f
for f in supported_load_format
if (f not in rocm_not_supported_load_format)
]
raise ValueError(
f"load format '{load_format}' is not supported in ROCm. "
f"Supported load format are "
f"{rocm_supported_load_format}"
)
# TODO: Remove this check once HF updates the pt weights of Mixtral.
architectures = getattr(self.hf_config, "architectures", [])
if "MixtralForCausalLM" in architectures and load_format == "pt":
raise ValueError(
"Currently, the 'pt' format is not supported for Mixtral. "
"Please use the 'safetensors' format instead. "
)
self.load_format = load_format
def _verify_tokenizer_mode(self) -> None:
tokenizer_mode = self.tokenizer_mode.lower()
if tokenizer_mode not in ["auto", "slow"]:
raise ValueError(View on GitHub (pinned to 77b89ee281)
When it happens
Trigger: Thrown at ChatTTS/model/velocity/configs.py:135 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of 2noise/ChatTTS@77b89ee281 (2026-08-26).
Data as JSON: /api/errors/530b682b1933a439.
Report an issue: GitHub.