Update README.md

README.md

@@ -37,27 +37,15 @@ The pipeline we used to produce the data and models is fully open-sourced!
 
 # How to use the models?
 
-Try to [run inference with our models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/inference.md) with just a few commands!
+Our models are fully compatible with Llama3.1-instruct format, so you should be able to just replace an existing Llama3.1 checkpoint and use it in the same way. 
+Please note that these models have not been instruction tuned and might not provide good answers outside of math domain. 
+
+If you don't know how to use Llama3.1 models, we provide convenient [instructions in our repo](https://github.com/Kipok/NeMo-Skills/blob/main/docs/inference.md).
 
 # Reproducing our results
 
 We provide [all instructions](https://github.com/Kipok/NeMo-Skills/blob/main/docs/reproducing-results.md) to fully reproduce our results.
 
-# Improving other models
-
-To improve other models or to learn more about our code, read through the docs below.
-
-- [NeMo-Skills Pipeline](https://github.com/Kipok/NeMo-Skills)
-    - [Generating synthetic data](https://github.com/Kipok/NeMo-Skills/blob/main/docs/synthetic-data-generation.md)
-    - [Finetuning models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/finetuning.md)
-    - [Evaluating models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/evaluation.md)
-
-In our pipeline we use [NVIDIA NeMo](https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/),
-an end-to-end, cloud-native framework to build, customize, and deploy generative AI models anywhere.
-It includes training and inferencing frameworks, guardrailing toolkits, data curation tools, and pretrained models,
-offering enterprises an easy, cost-effective, and fast way to adopt generative AI.
-
-
 ## Citation
 
 If you find our work useful, please consider citing us!
@@ -70,3 +58,7 @@ If you find our work useful, please consider citing us!
   journal = {arXiv preprint arXiv:2410.01560}
 }
 ```
+
+## Terms of use
+
+By accessing this model, you are agreeing to the LLama 3.1 terms and conditions of the [license](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE), [acceptable use policy](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/USE_POLICY.md) and [Meta’s privacy policy](https://www.facebook.com/privacy/policy/)