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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ inference: false
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+ tags:
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+ - roleplay
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+ - llama3
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+ - sillytavern
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+ ---
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+
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+ # #roleplay #sillytavern #llama3
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+
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+ My GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-0.85-L3-8B**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.85-L3-8B).
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+
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+ "Isn't Poppy the cutest [Porpoise](https://g.co/kgs/5C2zP3r)?"
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+
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+ > [!IMPORTANT]
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+ > **Quantization process:** <br>
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+ > For future reference, these quants have been done after the fixes from [**#6920**](https://github.com/ggerganov/llama.cpp/pull/6920) have been merged. <br>
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+ > Since the original model was already an FP16, imatrix data was generated from the FP16-GGUF and the conversions as well. <br> <!-- This was a bit more disk and compute intensive but hopefully avoided any losses during conversion. <br> -->
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+ > If you noticed any issues let me know in the discussions.
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+
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+ > [!NOTE]
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+ > **General usage:** <br>
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+ > Use the latest version of **KoboldCpp**. <br>
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+ > For **8GB VRAM** GPUs, I recommend the **Q4_K_M-imat** quant for up to 12288 context sizes. <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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+ >
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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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+ >
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+ > **Presets:** <br>
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+ > Some compatible SillyTavern presets can be found [**here (Poppy-0.85 Presets)**] or [**here (Virt's Roleplay Presets)**](https://huggingface.co/Virt-io/SillyTavern-Presets). <br>
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+ <!-- > Check [**discussions such as this one**](https://huggingface.co/Virt-io/SillyTavern-Presets/discussions/5#664d6fb87c563d4d95151baa) for other recommendations and samplers.
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+ -->
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+
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+ > [!TIP]
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+ > **Personal-support:** <br>
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+ > I apologize for disrupting your experience. <br>
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+ > Currently I'm working on moving for a better internet provider. <br>
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+ > If you **want** and you are **able to**... <br>
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+ > You can [**spare some change over here (Ko-fi)**](https://ko-fi.com/Lewdiculous). <br>
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+ >
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+ > **Author-support:** <br>
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+ > You can support the author [**at their own page**](https://huggingface.co/Nitral-AI).
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+
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+ ## **Original model information:**
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+
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+ # Note: Updated Presets!
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+
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+ # "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preferences.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/Boje781GkTdYgORTYGI6r.png)
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+ # Recomended ST Presets:(Updated for 0.85) [Porpoise Presets](https://huggingface.co/Nitral-8B-r1/tree/main/Presets)
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+
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+ If you want to use vision functionality:
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+
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+ * You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
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+
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+ # To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found inside this model repo. [Llava MMProj](https://huggingface.co/Nitral-AI/Llama-3-Update-2.0-mmproj-model-f16)
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+ * You can load the **mmproj** by using the corresponding section in the interface:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)