mradermacher/llama3.1-moe-4x8b-gated-iq-multi-tier-deep-reasoning-32b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B",
    "language": [
      "en",
      "fr",
      "de",
      "es",
      "pt",
      "it",
      "ja",
      "ko",
      "ru",
      "zh",
      "ar",
      "fa",
      "id",
      "ms",
      "ne",
      "pl",
      "ro",
      "sr",
      "sv",
      "tr",
      "uk",
      "vi",
      "hi",
      "bn"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "all use cases",
      "creative",
      "creative writing",
      "all genres",
      "tool calls",
      "tool use",
      "llama 3.1",
      "llama-3",
      "llama3",
      "llama-3.1",
      "problem solving",
      "deep thinking",
      "reasoning",
      "deep reasoning",
      "story",
      "writing",
      "fiction",
      "roleplaying",
      "bfloat16",
      "role play",
      "sillytavern",
      "backyard",
      "llama 3.1",
      "context 128k",
      "mergekit",
      "merge",
      "moe",
      "mixture of experts"
    ],
    "frontmatter": {
      "base_model": "DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B",
      "language": [
        "en",
        "fr",
        "de",
        "es",
        "pt",
        "it",
        "ja",
        "ko",
        "ru",
        "zh",
        "ar",
        "fa",
        "id",
        "ms",
        "ne",
        "pl",
        "ro",
        "sr",
        "sv",
        "tr",
        "uk",
        "vi",
        "hi",
        "bn"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "all use cases",
        "creative",
        "creative writing",
        "all genres",
        "tool calls",
        "tool use",
        "llama 3.1",
        "llama-3",
        "llama3",
        "llama-3.1",
        "problem solving",
        "deep thinking",
        "reasoning",
        "deep reasoning",
        "story",
        "writing",
        "fiction",
        "roleplaying",
        "bfloat16",
        "role play",
        "sillytavern",
        "backyard",
        "llama 3.1",
        "context 128k",
        "mergekit",
        "merge",
        "moe",
        "mixture of experts"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B\nlanguage:\n- en\n- fr\n- de\n- es\n- pt\n- it\n- ja\n- ko\n- ru\n- zh\n- ar\n- fa\n- id\n- ms\n- ne\n- pl\n- ro\n- sr\n- sv\n- tr\n- uk\n- vi\n- hi\n- bn\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- all use cases\n- creative\n- creative writing\n- all genres\n- tool calls\n- tool use\n- llama 3.1\n- llama-3\n- llama3\n- llama-3.1\n- problem solving\n- deep thinking\n- reasoning\n- deep reasoning\n- story\n- writing\n- fiction\n- roleplaying\n- bfloat16\n- role play\n- sillytavern\n- backyard\n- llama 3.1\n- context 128k\n- mergekit\n- merge\n- moe\n- mixture of experts\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-i1-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q2_K.gguf) | Q2_K | 9.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q3_K_S.gguf) | Q3_K_S | 11.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q3_K_M.gguf) | Q3_K_M | 12.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q3_K_L.gguf) | Q3_K_L | 13.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.IQ4_XS.gguf) | IQ4_XS | 13.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q4_K_S.gguf) | Q4_K_S | 14.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q4_K_M.gguf) | Q4_K_M | 15.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q5_K_S.gguf) | Q5_K_S | 17.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q5_K_M.gguf) | Q5_K_M | 17.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q6_K.gguf) | Q6_K | 20.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF/resolve/main/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B.Q8_0.gguf) | Q8_0 | 26.6 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "all use cases",
    "creative",
    "creative writing",
    "all genres",
    "tool calls",
    "tool use",
    "llama 3.1",
    "llama-3",
    "llama3",
    "llama-3.1",
    "problem solving",
    "deep thinking",
    "reasoning",
    "deep reasoning",
    "story",
    "writing",
    "fiction",
    "roleplaying",
    "bfloat16",
    "role play",
    "sillytavern",
    "backyard",
    "context 128k",
    "mergekit",
    "merge",
    "moe",
    "mixture of experts",
    "en",
    "fr",
    "de",
    "es",
    "pt",
    "it",
    "ja",
    "ko",
    "ru",
    "zh",
    "ar",
    "fa",
    "id",
    "ms",
    "ne",
    "pl",
    "ro",
    "sr",
    "sv",
    "tr",
    "uk",
    "vi",
    "hi",
    "bn",
    "base_model:DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B",
    "base_model:quantized:DavidAU/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 889,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T04:48:14.000Z",
  "created_at": "2025-05-15T22:58:04.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

{
  "_id": "6826717c875d71ba09c43e5c",
  "id": "mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF",
  "modelId": "mradermacher/Llama3.1-MOE-4X8B-Gated-IQ-Multi-Tier-Deep-Reasoning-32B-GGUF",
  "sha": "ed4126bd69df5f2635da66cd77a6c97fc3e8aa15",
  "createdAt": "2025-05-15T22:58:04.000Z",
  "lastModified": "2025-07-31T04:48:14.000Z",
  "author": "mradermacher",
  "downloads": 889,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 13
}