Update README.md

README.md

@@ -17,7 +17,7 @@ language:
 - **Model Optimizations:**
   - **Weight quantization:** FP8
   - **Activation quantization:** FP8
-- **Intended Use Cases:** Intended for commercial and research use in English. Similarly to [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct), this models is intended for assistant-like chat.
+- **Intended Use Cases:** Intended for commercial and research use in multiple languages. Similarly to [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct), this models is intended for assistant-like chat.
 - **Out-of-scope:** Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English.
 - **Release Date:** 7/24/2024
 - **Version:** 1.0
@@ -164,6 +164,7 @@ oneshot(
 
 The model was evaluated on the [OpenLLM](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) leaderboard tasks (version 1) with the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) and the [vLLM](https://docs.vllm.ai/en/stable/) engine, using the following command.
 A modified version of ARC-C and GSM8k-cot was used for evaluations, in line with Llama 3.1's prompting. It can be accessed on the [Neural Magic fork of the lm-evaluation-harness](https://github.com/neuralmagic/lm-evaluation-harness/tree/llama_3.1_instruct).
+Additional evaluations that were collected for the original Llama 3.1 models will be added in the future.
 ```
 lm_eval \
   --model vllm \