lewdiculous/poppy_porpoise-1.0-l3-8b-gguf-iq-imatrix overview

{
  "metadata": {},
  "card_data": {
    "license": "cc-by-nc-4.0",
    "language": [
      "en"
    ],
    "inference": false,
    "tags": [
      "roleplay",
      "llama3",
      "sillytavern",
      "broken"
    ],
    "frontmatter": {
      "license": "cc-by-nc-4.0",
      "language": [
        "en"
      ],
      "inference": "false",
      "tags": [
        "roleplay",
        "llama3",
        "sillytavern",
        "broken"
      ]
    },
    "hero_image_url": "https://iili.io/JmoAAPf.png",
    "summary": "* https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B/tree/main/Porpoise_1.0-Presets # If you want to use vision functionality: * You must use the latest versions of Koboldcpp. # To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found here: Llava-MMProj file. * You can load the **mmproj** file by using the corresponding section in the interface: !image/png # Open LLM Leaderboard Evaluation Results Detailed results can be found here |             Metric              |Value| |---------------------------------|----:| |Avg.                             |69.24| |AI2 Reasoning Challenge (25-Shot)|63.40| |HellaSwag (10-Shot)              |82.89| |MMLU (5-Shot)                    |68.04| |TruthfulQA (0-shot)              |54.12| |Winogrande (5-shot)              |77.90| |GSM8k (5-shot)                   |69.07|",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: cc-by-nc-4.0\nlanguage:\n- en\ninference: false\ntags:\n- roleplay\n- llama3\n- sillytavern\n- broken\n---\n\n> [!CAUTION]\n> # #broken\n> \n> **[Use version 0.72 instead.](https://huggingface.co/Lewdiculous/Poppy_Porpoise-0.72-L3-8B-GGUF-IQ-Imatrix)**\n> \n> **This model is now **deprecated** since the [author has identified significant issues with it](https://huggingface.co/LWDCLS/LLM-Discussions/discussions/12#665d0331325b11b6fe29835f), this is considered #broken and is only still kept here for archiving.**\n> \n> ![JmoAAPf.png](https://iili.io/JmoAAPf.png)\n\nMy GGUF-IQ-Imatrix quants for [**Nitral-AI/Poppy_Porpoise-1.0-L3-8B**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B).\n\n\"Isn't Poppy the cutest [Porpoise](https://g.co/kgs/5C2zP3r)?\"\n\n> [!IMPORTANT]\n> **Quantization process:** <br>\n> 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>\n> 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> -->\n> If you noticed any issues let me know in the discussions.\n\n> [!NOTE]\n> **General usage:** <br>\n> Use the latest version of **KoboldCpp**. <br>\n> Remember that you can also use `--flashattention` on KoboldCpp now even with non-RTX cards for reduced VRAM usage. <br>\n> For **8GB VRAM** GPUs, I recommend the **Q4_K_M-imat** quant for up to 12288 context sizes. <br>\n> For **12GB VRAM** GPUs, the **Q5_K_M-imat** quant will give you a great size/quality balance. <br>\n>\n> **Resources:** <br>\n> 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.\n> \n> **Presets:** <br>\n> Some compatible SillyTavern presets can be found [**here (New Poppy-1.0 Presets)**](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B/tree/main/Porpoise_1.0-Presets) or [**here (Virt's Roleplay Presets)**](https://huggingface.co/Virt-io/SillyTavern-Presets). <br>\n<!-- > Check [**discussions such as this one**](https://huggingface.co/Virt-io/SillyTavern-Presets/discussions/5#664d6fb87c563d4d95151baa) for other recommendations and samplers.\n-->\n\n> [!TIP]\n> **Personal-support:** <br>\n> I apologize for disrupting your experience. <br>\n> Currently I'm working on moving for a better internet provider. <br>\n> If you **want** and you are **able to**... <br>\n> You can [**spare some change over here (Ko-fi)**](https://ko-fi.com/Lewdiculous). <br>\n>\n> **Author-support:** <br>\n> You can support the author [**at their own page**](https://huggingface.co/Nitral-AI).\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/Boje781GkTdYgORTYGI6r.png)\n\n## **Original model text information:**\n\n**\"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.**\n\n# Presets in repo folder:\n\n * https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B/tree/main/Porpoise_1.0-Presets\n\n# If you want to use vision functionality:\n\n * You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).\n \n# To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found here: [Llava-MMProj file](https://huggingface.co/Nitral-AI/Llama-3-Update-2.0-mmproj-model-f16).\n \n * You can load the **mmproj** file by using the corresponding section in the interface:\n\n ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)\n# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)\nDetailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Nitral-AI__Poppy_Porpoise-0.85-L3-8B)\n\n|             Metric              |Value|\n|---------------------------------|----:|\n|Avg.                             |69.24|\n|AI2 Reasoning Challenge (25-Shot)|63.40|\n|HellaSwag (10-Shot)              |82.89|\n|MMLU (5-Shot)                    |68.04|\n|TruthfulQA (0-shot)              |54.12|\n|Winogrande (5-shot)              |77.90|\n|GSM8k (5-shot)                   |69.07|\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "roleplay",
    "llama3",
    "sillytavern",
    "broken",
    "en",
    "license:cc-by-nc-4.0",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 15,
  "downloads": 86,
  "gated": false,
  "private": false,
  "last_modified": "2024-06-03T05:06:45.000Z",
  "created_at": "2024-05-26T13:02:34.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "author": "Lewdiculous",
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