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@@ -70,6 +70,7 @@ Multiple GPTQ parameter permutations are provided; see Provided Files below for
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  ## Repositories available
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  * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/WizardCoder-Python-7B-V1.0-GPTQ)
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  * [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/WizardCoder-Python-7B-V1.0-GGUF)
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  * [WizardLM's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/WizardLM/WizardCoder-Python-7b-V1.0)
 
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  ## Repositories available
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+ * [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/WizardCoder-Python-7B-V1.0-AWQ)
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  * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/WizardCoder-Python-7B-V1.0-GPTQ)
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  * [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/WizardCoder-Python-7B-V1.0-GGUF)
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  * [WizardLM's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/WizardLM/WizardCoder-Python-7b-V1.0)