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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -599,7 +599,7 @@ policy via the `batch_scheduler_policy` parameter in the
See the
[KV Cache](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/advanced/gpt-attention.md#kv-cache)
section for more details on how TensorRT-LLM supports KV cache. Also, check out
the [KV Cache Reuse](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/kv_cache_reuse.md)
the [KV Cache Reuse](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/advanced/kv-cache-reuse.md)
documentation to learn more about how to enable KV cache reuse when building the
TRT-LLM engine. Parameters for KV cache can be found in the
[model config](./docs/model_config.md#tensorrt_llm_model) of tensorrt_llm model.
Expand All @@ -622,7 +622,7 @@ Parameters for decoding modes can be found in the
#### Speculative Decoding

See the
[Speculative Decoding](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/speculative_decoding.md)
[Speculative Decoding](https://github.com/NVIDIA/TensorRT-LLM/blob/main/docs/source/advanced/speculative-decoding.md)
documentation to learn more about how TensorRT-LLM supports speculative decoding
to improve the performance. The parameters for speculative decoding can be found
in the [model config](./docs/model_config.md#tensorrt_llm_bls_model) of
Expand Down