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README.md
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@@ -29,7 +29,7 @@ My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-0.85-L3-8B**](https://
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> For **12GB VRAM** GPUs, the **Q5_K_M-imat** quant will give you a great size/quality balance. <br>
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> **Resources:** <br>
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> You can find out more about how each quant stacks up against each other and their types [**here**](gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9) and [**here**](https://rentry.org/llama-cpp-quants-or-fine-ill-do-it-myself-then-pt-2), respectively.
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> **Presets:** <br>
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> Some compatible SillyTavern presets can be found [**here (Poppy-0.85 Presets)**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B/tree/main/Presets) or [**here (Virt's Roleplay Presets)**](https://huggingface.co/Virt-io/SillyTavern-Presets). <br>
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> For **12GB VRAM** GPUs, the **Q5_K_M-imat** quant will give you a great size/quality balance. <br>
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> **Resources:** <br>
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> You can find out more about how each quant stacks up against each other and their types [**here**](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9) and [**here**](https://rentry.org/llama-cpp-quants-or-fine-ill-do-it-myself-then-pt-2), respectively.
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> **Presets:** <br>
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> Some compatible SillyTavern presets can be found [**here (Poppy-0.85 Presets)**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B/tree/main/Presets) or [**here (Virt's Roleplay Presets)**](https://huggingface.co/Virt-io/SillyTavern-Presets). <br>
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