shaunnotshwn/skyreels-v2-t2v-14b-540p-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "other",
    "license_name": "skywork-license",
    "license_link": "LICENSE",
    "library_name": "gguf",
    "base_model": [
      "Skywork/SkyReels-V2-T2V-14B-540P"
    ],
    "tags": [
      "video",
      "video-generation"
    ],
    "pipeline_tag": "text-to-video",
    "frontmatter": {
      "license": "other",
      "license_name": "skywork-license",
      "license_link": "LICENSE",
      "library_name": "gguf",
      "base_model": [
        "Skywork/SkyReels-V2-T2V-14B-540P"
      ],
      "tags": [
        "video",
        "video-generation"
      ],
      "pipeline_tag": "text-to-video"
    },
    "hero_image_url": "",
    "summary": "This is a direct GGUF conversion of Skywork/SkyReels-V2-T2V-14B-540P All quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. The model files can be used with the ComfyUI-GGUF custom node. Place model files in ComfyUI/models/unet - see the GitHub readme for further install instructions. The VAE can be downloaded from this repository by Kijai Please refer to this chart for a basic overview of quantization types. For conversion I used the conversion scripts from city96",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nlicense_name: skywork-license\nlicense_link: LICENSE\nlibrary_name: gguf\nbase_model:\n- Skywork/SkyReels-V2-T2V-14B-540P\ntags:\n- video\n- video-generation\npipeline_tag: text-to-video\n---\nThis is a direct GGUF conversion of [Skywork/SkyReels-V2-T2V-14B-540P](https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-540P)\n\nAll quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. \n\nThe model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node.\n\nPlace model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.\n\nThe VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors)\n\nPlease refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.\n\nFor conversion I used the conversion scripts from [city96](https://huggingface.co/city96)",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "video",
    "video-generation",
    "text-to-video",
    "base_model:Skywork/SkyReels-V2-T2V-14B-540P",
    "base_model:quantized:Skywork/SkyReels-V2-T2V-14B-540P",
    "license:other",
    "region:us"
  ],
  "likes": 0,
  "downloads": 237,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-06T04:29:05.000Z",
  "created_at": "2026-04-06T04:29:05.000Z",
  "pipeline_tag": "text-to-video",
  "library_name": "gguf"
}

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  "id": "Shaunnotshwn/SkyReels-V2-T2V-14B-540P-GGUF",
  "modelId": "Shaunnotshwn/SkyReels-V2-T2V-14B-540P-GGUF",
  "sha": "189ea2349717e1cb6c6b444af772ffb61bb1b122",
  "createdAt": "2026-04-06T04:29:05.000Z",
  "lastModified": "2026-04-06T04:29:05.000Z",
  "author": "Shaunnotshwn",
  "downloads": 237,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-to-video",
  "library_name": "gguf",
  "siblings_count": 17
}