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@@ -30,9 +30,9 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
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  ## Repositories available
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- * [4-bit GPTQ models for GPU inference](https://huggingface.co/CalderaAI/30B-Lazarus-GPTQ4bit)
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  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/30B-Lazarus-GGML)
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- * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/CalderaAI/30B-Lazarus)
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  <!-- compatibility_ggml start -->
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  ## Compatibility
 
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  ## Repositories available
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+ * [CalderAI's 4-bit GPTQ models for GPU inference](https://huggingface.co/CalderaAI/30B-Lazarus-GPTQ4bit)
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  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/30B-Lazarus-GGML)
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+ * [CalderAI's unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/CalderaAI/30B-Lazarus)
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  <!-- compatibility_ggml start -->
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  ## Compatibility