Upload README.md

README.md

@@ -7,6 +7,7 @@ license: llama2
 model_creator: Jon Durbin
 model_name: Airoboros L2 70B 2.2
 model_type: llama
+prompt_template: "A chat.\nUSER: {prompt}\nASSISTANT: \n"
 quantized_by: TheBloke
 ---
 
@@ -42,6 +43,7 @@ Multiple GPTQ parameter permutations are provided; see Provided Files below for
 <!-- repositories-available start -->
 ## Repositories available
 
+* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/Airoboros-L2-70b-2.2-AWQ)
 * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Airoboros-L2-70b-2.2-GPTQ)
 * [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/Airoboros-L2-70b-2.2-GGUF)
 * [Jon Durbin's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/jondurbin/airoboros-l2-70b-2.2)
@@ -58,15 +60,8 @@ ASSISTANT:
 ```
 
 <!-- prompt-template end -->
-<!-- licensing start -->
-## Licensing
 
-The creator of the source model has listed its license as `llama2`, and this quantization has therefore used that same license.
 
-As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. It should therefore be considered as being claimed to be licensed under both licenses. I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. Should this change, or should Meta provide any feedback on this situation, I will update this section accordingly.
-
-In the meantime, any questions regarding licensing, and in particular how these two licenses might interact, should be directed to the original model repository: [Jon Durbin's Airoboros L2 70B 2.2](https://huggingface.co/jondurbin/airoboros-l2-70b-2.2).
-<!-- licensing end -->
 <!-- README_GPTQ.md-provided-files start -->
 ## Provided files and GPTQ parameters