(Minor Issue) Fix broken GPTQ and GGML Links (#1)
Browse files- (Minor Issue) Fix broken GPTQ and GGML Links (dc7bf68d9859c5affc344a40882b684261527fe8)
Co-authored-by: Mikael <Mikael110@users.noreply.huggingface.co>
README.md
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@@ -25,8 +25,8 @@ It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com
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## Repositories available
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* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-GPTQ)
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* [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/Monero/WizardLM-Uncensored-SuperCOT-StoryTelling-30b)
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## Prompt template
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## Repositories available
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* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GPTQ)
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* [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/Monero/WizardLM-Uncensored-SuperCOT-StoryTelling-30b)
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## Prompt template
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