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Update README.md

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@@ -29,6 +29,16 @@ It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com
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  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/open-llama-13b-open-instruct-GGML)
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  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/VMware/open-llama-13b-open-instruct)
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  ## How to easily download and use this model in text-generation-webui
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  Please make sure you're using the latest version of text-generation-webui
@@ -74,8 +84,8 @@ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
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  # Note: check the prompt template is correct for this model.
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  prompt = "Tell me about AI"
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- prompt_template=f'''USER: {prompt}
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- ASSISTANT:'''
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  print("\n\n*** Generate:")
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  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/open-llama-13b-open-instruct-GGML)
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  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/VMware/open-llama-13b-open-instruct)
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+ ## Prompt template
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+
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+ ```
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+ Below is an instruction that describes a task. Write a response that appropriately completes the request
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+
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+ ### Instruction: prompt
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+
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+ ### Response:
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+ ```
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+
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  ## How to easily download and use this model in text-generation-webui
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  Please make sure you're using the latest version of text-generation-webui
 
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  # Note: check the prompt template is correct for this model.
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  prompt = "Tell me about AI"
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+ prompt_template=f'''### Instruction: {prompt}
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+ ### Response:'''
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  print("\n\n*** Generate:")
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