Update README.md

README.md

@@ -13,7 +13,14 @@ alt="drawing" width="510"/>
 
 License: cc-by-nc-4.0
 
-If you already know [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1), xLAM-v0.1 is a significant upgrade and better at many things. For the same number of parameters, the model have been fine-tuned across a wide range of agent tasks and scenarios, all while preserving the capabilities of the original model.
+If you already know [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1), xLAM-v0.1 is a significant upgrade and better at many things. 
+For the same number of parameters, the model have been fine-tuned across a wide range of agent tasks and scenarios, all while preserving the capabilities of the original model.
+
+xLAM-v0.1-r represents the version 0.1 of the Large Action Model series, with the "-r" indicating it's tagged for research. 
+This model is compatible with VLLM and FastChat platforms. 
+
+
+
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -33,6 +40,8 @@ outputs = model.generate(inputs, max_new_tokens=512)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
+You may need to tune the Temperature setting  for different applications. Typically, a lower Temperature is helpful for tasks that require deterministic outcomes.
+
 
 
 # Benchmarks