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Initial GPTQ model commit

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  1. README.md +7 -3
README.md CHANGED
@@ -47,10 +47,12 @@ Multiple GPTQ parameter permutations are provided; see Provided Files below for
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  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference (deprecated)](https://huggingface.co/TheBloke/CodeLlama-13B-Instruct-GGML)
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  * [Meta's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf)
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- ## Prompt template: TBC
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  ```
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- Info on prompt template will be added shortly.
 
 
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  ```
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  ## Provided files and GPTQ parameters
@@ -159,7 +161,9 @@ 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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- prompt_template=f'''Info on prompt template will be added shortly.
 
 
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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 (deprecated)](https://huggingface.co/TheBloke/CodeLlama-13B-Instruct-GGML)
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  * [Meta's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf)
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+ ## Prompt template: CodeLlama
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  ```
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+ [INST] Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using ```:
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+ {prompt}
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+ [/INST]
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  ```
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  ## Provided files and GPTQ parameters
 
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  """
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  prompt = "Tell me about AI"
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+ prompt_template=f'''[INST] Write code to solve the following coding problem that obeys the constraints and passes the example test cases. Please wrap your code answer using ```:
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+ {prompt}
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+ [/INST]
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  '''
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  print("\n\n*** Generate:")