2noise/ChatTTS · error · ValueError
Currently, the 'pt' format is not supported for Mixtral. Ple
Error message
Currently, the 'pt' format is not supported for Mixtral. Please use the 'safetensors' format instead.
What it means
Error "Currently, the 'pt' format is not supported for Mixtral. Please use the 'safetensors' format instead. " thrown in 2noise/ChatTTS.
Source
Thrown at ChatTTS/model/velocity/configs.py:144
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(
f"Unknown tokenizer mode: {self.tokenizer_mode}. Must be "
"either 'auto' or 'slow'."
)
self.tokenizer_mode = tokenizer_mode
def _verify_quantization(self) -> None:
supported_quantization = ["awq", "gptq", "squeezellm"]
rocm_not_supported_quantization = ["awq"]
if self.quantization is not None:View on GitHub (pinned to 77b89ee281)
When it happens
Trigger: Thrown at ChatTTS/model/velocity/configs.py:144 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/6301b76776a0e62e.
Report an issue: GitHub.