sgl-project/sglang · critical · Exception
Generate subcommand is not yet supported for model
Error message
Generate subcommand is not yet supported for model: {model_path} What it means
Raised by `sglang.gen` when the requested model architecture has no dedicated generation entry point registered. Only specific model families are wired into the generate subcommand; use `sglang.gen` with a supported model or serve the model and query it via the OpenAI-compatible API instead.
Solutions
- Use an even TP size within 2-8
- Disable the deterministic custom allreduce for unsupported topologies
- Verify GPU visibility/env masks
Defensive patterns
Strategy: validation
Validate before calling
assert fa.world_size_ in (2,4,6,8), 'deterministic fp16 allreduce needs TP in (2,4,6,8)'
Prevention
- Check TP size before enabling deterministic inference
When it happens
Trigger: Deterministic allreduce on fp16 tensors with fa->world_size_ outside {2,4,6,8}.
Common situations: --enable-deterministic-inference with TP=3/5/7 or >8 GPUs on ROCm; misdetected world size from bad visibility masks.
Related errors
- Error: --model-type requires a non-empty value.
- This browser does not support worker image decoding
- Unsupported content type
- delta payload size mismatch: expected
- Error: --model-type requires a value.
AI-assisted analysis of sgl-project/sglang@0132848349 (2026-08-28).
Data as JSON: /api/errors/cba447a574f990a3.
Report an issue: GitHub.
Appendix: source
Thrown at python/sglang/cli/generate.py:31
parser = argparse.ArgumentParser(description="SGLang Multimodal Generation")
add_multimodal_gen_generate_args(parser)
parser.parse_args(extra_argv)
return
model_path = get_model_path(extra_argv)
is_diffusion_model = get_is_diffusion_model(model_path)
if is_diffusion_model:
from sglang.multimodal_gen.runtime.entrypoints.cli.generate import (
add_multimodal_gen_generate_args,
generate_cmd,
)
parser = argparse.ArgumentParser(description="SGLang Multimodal Generation")
add_multimodal_gen_generate_args(parser)
parsed_args, unknown_args = parser.parse_known_args(extra_argv)
generate_cmd(parsed_args, unknown_args)
else:
raise Exception(
f"Generate subcommand is not yet supported for model: {model_path}"
)
View on GitHub (pinned to 0132848349)