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remove tips for attn_temperature_tuning in llama4 blog #51

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Apr 15, 2025
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remove tips for attn_temperature_tuning in llama4 blog #51

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1 change: 0 additions & 1 deletion _posts/2025-04-05-llama4.md
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Expand Up @@ -72,7 +72,6 @@ While more performance enhancements are on the way, we believe the Llama 4 model

* **Boost Performance & Context Length:** Set `--kv-cache-dtype fp8` to potentially double the usable context window and gain a performance boost. We observe little to no accuracy drop in relevant evaluations with this setting.
* **Maximize Context Window (up to 10M):** To fully utilize the maximum context windows (up to 10M for Scout), we recommend serving across multiple nodes using tensor parallelism or pipeline parallelism. Follow our distributed inference guide [here](https://docs.vllm.ai/en/latest/serving/distributed_serving.html).
* **Improve Long Context Accuracy (\>32K):** We highly recommend adding `--override-generation-config='{"attn_temperature_tuning": true}'` to improve accuracy for contexts longer than 32K tokens.

**Other Hardware Support & Quantizations:**

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