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2 changes: 1 addition & 1 deletion docs/source/developer-guide/perf-benchmarking.md
Original file line number Diff line number Diff line change
Expand Up @@ -423,7 +423,7 @@ checkpoint. For the Llama-3.1 models, TensorRT LLM provides the following checkp
- [`nvidia/Llama-3.1-70B-Instruct-FP8`](https://huggingface.co/nvidia/Llama-3.1-70B-Instruct-FP8)
- [`nvidia/Llama-3.1-405B-Instruct-FP8`](https://huggingface.co/nvidia/Llama-3.1-405B-Instruct-FP8)

To understand more about how to quantize your own checkpoints, refer to ModelOpt [documentation](https://nvidia.github.io/TensorRT-Model-Optimizer/getting_started/3_quantization.html).
To understand more about how to quantize your own checkpoints, refer to ModelOpt [documentation](https://nvidia.github.io/TensorRT-Model-Optimizer/deployment/1_tensorrt_llm.html).

`trtllm-bench` utilizes the `hf_quant_config.json` file present in the pre-quantized checkpoints above. The configuration
file is present in checkpoints quantized with [TensorRT Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer)
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