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Model Intelligence Sheet

davidau/psyfighter2-ultra-quality-13b-gguf overview

Psyfighter2 13B Ultra Quality - 32 bit upscale. Complete remerge, and remaster of the incredible Psyfighter2 from source files. Registering an impressive drop of 730 points (lower is better) at Q4KM. This puts "Q4KM" operating at "Q6" levels, and further elevates Q6 and Q8 as well. Likewise, even Q2K (smallest quant) will operate at much higher levels than it's original source counterpart. RESULTS: The result is superior performance in instruction following, reasoning, depth, nuance and emotion. Reduction in prompt size, as it understands nuance better. And as a side effect more context available for output due to reduction in prompt size. Note that there will be an outsized difference between quants especially for creative and/or "no right answer" use cases. Because of this it is suggested to download the highest quant you can operate, and it's closest neighbours so to speak. IE: Q4KS, Q4KM, Q5KS as an example. Imatrix Plus versions to be uploaded at a separate repo shortly. Special thanks to the original model creator: [ https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2 ] This remaster was used in the highly acclaimed Ultra Quality 20B Remasters: [ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF ] [ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix ] Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers This a "Class 2" model: For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see: [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

ggufcreativestoryroleplayrp32 bit upscaleremasteredwritingtext-generationenlicense:apache-2.0endpoints_compatibleregion:us
davidau/psyfighter2-ultra-quality-13b-gguf visual
Downloads
278
Likes
5
Pipeline
text-generation
Library
Visibility
Public
Access
Open

Repository Files & Downloads

10 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Psyfighter2-Ultra-Quality-13B-Q2_k.gguf GGUF Q2_K 5.01 GB Download
Psyfighter2-Ultra-Quality-13B-Q3_k_l.gguf GGUF Q3_K_L 6.94 GB Download
Psyfighter2-Ultra-Quality-13B-Q3_k_m.gguf GGUF Q3_K_M 6.39 GB Download
Psyfighter2-Ultra-Quality-13B-Q3_k_s.gguf GGUF Q3_K_S 5.76 GB Download
Psyfighter2-Ultra-Quality-13B-Q4_k_m.gguf GGUF Q4_K_M 7.81 GB Download
Psyfighter2-Ultra-Quality-13B-Q4_k_s.gguf GGUF Q4_K_S 7.40 GB Download
Psyfighter2-Ultra-Quality-13B-Q5_k_s.gguf GGUF Q5_K_S 8.84 GB Download
Psyfighter2-Ultra-Quality-13B-Q6_k.gguf GGUF Q6_K 10.43 GB Download
Psyfighter2-Ultra-Quality-13B-Q8_0.gguf GGUF 13.33 GB Download
Psyfighter2-Ultra-Quality-13B-q5_k_m.gguf GGUF Q5_K_M 9.08 GB Download

Model Details Live

Model Slug
davidau/psyfighter2-ultra-quality-13b-gguf
Author
DavidAU
Pipeline Task
text-generation
Library
Created
2024-06-02
Last Modified
2024-11-14
Gated
No
Private
No
HF SHA
b33a9ac8bbce4158b1781855f9a0c49019c2b327
License
apache-2.0
Language
en
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
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  "card_data": {
    "license": "apache-2.0",
    "language": [
      "en"
    ],
    "tags": [
      "creative",
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      "roleplay",
      "rp",
      "32 bit upscale",
      "remastered",
      "writing"
    ],
    "pipeline_tag": "text-generation",
    "frontmatter": {
      "license": "apache-2.0",
      "language": [
        "en"
      ],
      "tags": [
        "creative",
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        "roleplay",
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      "pipeline_tag": "text-generation"
    },
    "hero_image_url": "",
    "summary": "Psyfighter2 13B Ultra Quality - 32 bit upscale. Complete remerge, and remaster of the incredible Psyfighter2 from source files. Registering an impressive drop of 730 points (lower is better) at Q4KM. This puts \"Q4KM\" operating at \"Q6\" levels, and further elevates Q6 and Q8 as well. Likewise, even Q2K (smallest quant) will operate at much higher levels than it's original source counterpart. RESULTS: The result is superior performance in instruction following, reasoning, depth, nuance and emotion. Reduction in prompt size, as it understands nuance better. And as a side effect more context available for output due to reduction in prompt size. Note that there will be an outsized difference between quants especially for creative and/or \"no right answer\" use cases. Because of this it is suggested to download the highest quant you can operate, and it's closest neighbours so to speak. IE: Q4KS, Q4KM, Q5KS as an example. Imatrix Plus versions to be uploaded at a separate repo shortly. Special thanks to the original model creator: [ https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2 ] This remaster was used in the highly acclaimed Ultra Quality 20B Remasters: [ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF ] [ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix ] Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers This a \"Class 2\" model: For all settings used for this model (including specifics for its \"class\"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see: [ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n- en\ntags:\n- creative\n- story\n- roleplay\n- rp\n- 32 bit upscale\n- remastered\n- writing\npipeline_tag: text-generation\n---\n<h3><font color=\"red\"> Psyfighter2 13B Ultra Quality - 32 bit upscale.</font></h3>\n\nComplete remerge, and remaster of the incredible Psyfighter2 from source files.\n\nRegistering an impressive drop of 730 points (lower is better) at Q4KM.\n\nThis puts \"Q4KM\" operating at \"Q6\" levels, and further elevates Q6 and Q8 as well.\n\nLikewise, even Q2K (smallest quant) will operate at much higher levels than it's original source counterpart.\n\n<B>RESULTS:</b>\n\nThe result is superior performance in instruction following, reasoning, depth, nuance and emotion.\n\nReduction in prompt size, as it understands nuance better.\n\nAnd as a side effect more context available for output due to reduction in prompt size.\n\nNote that there will be an outsized difference between quants especially for creative and/or \"no right answer\" use cases.\n\nBecause of this it is suggested to download the highest quant you can operate, and it's closest neighbours so to speak.\n\nIE: Q4KS, Q4KM, Q5KS as an example.\n\nImatrix Plus versions to be uploaded at a separate repo shortly.\n\nSpecial thanks to the original model creator:\n\n[ https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2 ]\n\nThis remaster was used in the highly acclaimed Ultra Quality 20B Remasters:\n\n[ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF ]\n\n[ https://huggingface.co/DavidAU/Psyonic-Cetacean-Ultra-Quality-20b-GGUF-imatrix ]\n\n<B>Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>\n\nThis a \"Class 2\" model:\n\nFor all settings used for this model (including specifics for its \"class\"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:\n\n[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]\n",
    "related_quantizations": []
  },
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    "license:apache-2.0",
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  "likes": 5,
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  "gated": false,
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  "last_modified": "2024-11-14T05:31:38.000Z",
  "created_at": "2024-06-02T14:05:32.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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