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README.md
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@@ -40,10 +40,16 @@ Many thanks to William Beauchamp from [Chai](https://chai-research.com/) for pro
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* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/upstage-llama-30b-instruct-2048-GGML)
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* [Original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/upstage/llama-30b-instruct-2048)
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## Prompt template:
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```
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{prompt}
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```
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## Provided files
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@@ -131,8 +137,14 @@ model = AutoGPTQForCausalLM.from_quantized(model_name_or_path,
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"""
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prompt = "Tell me about AI"
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'''
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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/upstage-llama-30b-instruct-2048-GGML)
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* [Original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/upstage/llama-30b-instruct-2048)
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## Prompt template: Orca-Hashes
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```
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### System:
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{System}
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### User:
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{prompt}
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### Assistant:
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```
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## Provided files
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"""
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prompt = "Tell me about AI"
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system = "You are a helpful assistant"
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prompt_template=f'''### System:
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{system}
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### User:
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{prompt}
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### Assistant:'''
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print("\n\n*** Generate:")
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