Update README.md

README.md

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 This is an fp16 copy of [jarradh/llama2_70b_chat_uncensored](https://huggingface.co/jarradh/llama2_70b_chat_uncensored) for faster downloading and less disk space usage than the fp32 original. I simply imported the model to CPU with torch_dtype=torch.float16 and then exported it again. All credit for the model goes to [jarradh](https://huggingface.co/jarradh).
 
-Arguable a better name for this model would be something like Llama-2-70B_Wizard-Vicuna-Uncensored-fp16, but to avoid confusion I'm sticking with jarradh's naming scheme.
+Arguable a better name for this model would be something like Llama-2-70B_Wizard-Vicuna-Uncensored-fp16, but to avoid confusion I'm sticking with jarradh's naming scheme.
+
+<!-- repositories-available start -->
+## Repositories available
+
+* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/llama2_70b_chat_uncensored-GPTQ)
+* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/llama2_70b_chat_uncensored-GGML)
+* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference, plus fp16 GGUF for requantizing](https://huggingface.co/TheBloke/YokaiKoibito/WizardLM-Uncensored-Falcon-40B-GGUF)
+* [Jarrad Hope's unquantised model in fp16 pytorch format, for GPU inference and further conversions](https://huggingface.co/YokaiKoibito/llama2_70b_chat_uncensored-fp16)
+* [Jarrad Hope's original unquantised fp32 model in pytorch format, for further conversions](https://huggingface.co/jarradh/llama2_70b_chat_uncensored)
+
+<!-- repositories-available end -->
+
+## Prompt template: Human-Response
+
+```
+### HUMAN:
+{prompt}
+
+### RESPONSE:
+```