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4 changes: 1 addition & 3 deletions docs/source/commands/trtllm-eval.rst
Original file line number Diff line number Diff line change
Expand Up @@ -85,9 +85,7 @@ Here are some examples:
trtllm-eval --model <model> --max_seq_len 36864 aime25
trtllm-eval --model <model> --max_seq_len 36864 aime26

The ``--model`` argument accepts either a Hugging Face model ID or a local checkpoint path. By default, ``trtllm-eval`` runs the model with the PyTorch backend; you can pass ``--backend tensorrt`` to switch to the TensorRT backend.

Alternatively, the ``--model`` argument also accepts a local path to pre-built TensorRT engines. In this case, you should pass the Hugging Face tokenizer path to the ``--tokenizer`` argument.
The ``--model`` argument accepts either a Hugging Face model ID or a local checkpoint path. ``trtllm-eval`` runs with the PyTorch backend (``--backend`` accepts only ``pytorch``); the TensorRT engine backend and pre-built engine paths were removed.

For more details, see ``trtllm-eval --help`` and ``trtllm-eval <task> --help``.

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2 changes: 1 addition & 1 deletion examples/trtllm-eval/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ trtllm-eval --model meta-llama/Llama-3.1-8B-Instruct gsm8k
trtllm-eval --model meta-llama/Llama-3.3-70B-Instruct gpqa_diamond
```

The `--model` argument accepts either a Hugging Face model ID or a local checkpoint path. By default, `trtllm-eval` runs the model with the PyTorch backend; pass `--backend tensorrt` to switch to the TensorRT backend. Alternatively, the `--model` argument also accepts a local path to pre-built TensorRT engines; in that case, please pass the Hugging Face tokenizer path to the `--tokenizer` argument.
The `--model` argument accepts either a Hugging Face model ID or a local checkpoint path. `trtllm-eval` runs with the PyTorch backend (`--backend` accepts only `pytorch`); the TensorRT engine backend and pre-built engine paths were removed.

See more details by `trtllm-eval --help`.

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