mradermacher/llama3.3-70b-cognilink-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "Daemontatox/Llama3.3-70B-CogniLink",
    "datasets": [
      "Daemontatox/Deepthinking-COT",
      "gghfez/QwQ-LongCoT-130K-cleaned"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "state-of-the-art",
      "reasoning",
      "chain-of-thought",
      "text-generation",
      "transformers",
      "llama",
      "instruction-tuning",
      "cot",
      "RL",
      "research",
      "SOTA"
    ],
    "frontmatter": {
      "base_model": "Daemontatox/Llama3.3-70B-CogniLink",
      "datasets": [
        "Daemontatox/Deepthinking-COT",
        "gghfez/QwQ-LongCoT-130K-cleaned"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "state-of-the-art",
        "reasoning",
        "chain-of-thought",
        "text-generation",
        "transformers",
        "llama",
        "instruction-tuning",
        "cot",
        "RL",
        "research",
        "SOTA"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink  static quants are available at https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Daemontatox/Llama3.3-70B-CogniLink\ndatasets:\n- Daemontatox/Deepthinking-COT\n- gghfez/QwQ-LongCoT-130K-cleaned\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- state-of-the-art\n- reasoning\n- chain-of-thought\n- text-generation\n- transformers\n- llama\n- instruction-tuning\n- cot\n- RL\n- research\n- SOTA\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-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/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ1_S.gguf) | i1-IQ1_S | 15.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ1_M.gguf) | i1-IQ1_M | 16.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 19.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ2_XS.gguf) | i1-IQ2_XS | 21.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ2_S.gguf) | i1-IQ2_S | 22.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q2_K_S.gguf) | i1-Q2_K_S | 24.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ3_XS.gguf) | i1-IQ3_XS | 29.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ3_S.gguf) | i1-IQ3_S | 31.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q4_0.gguf) | i1-Q4_0 | 40.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q4_1.gguf) | i1-Q4_1 | 44.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q5_K_S.gguf) | i1-Q5_K_S | 48.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q5_K_M.gguf) | i1-Q5_K_M | 50.0 |  |\n| [PART 1](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama3.3-70B-CogniLink-i1-GGUF/resolve/main/Llama3.3-70B-CogniLink.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "state-of-the-art",
    "reasoning",
    "chain-of-thought",
    "text-generation",
    "llama",
    "instruction-tuning",
    "cot",
    "RL",
    "research",
    "SOTA",
    "en",
    "dataset:Daemontatox/Deepthinking-COT",
    "dataset:gghfez/QwQ-LongCoT-130K-cleaned",
    "base_model:Daemontatox/Llama3.3-70B-CogniLink",
    "base_model:quantized:Daemontatox/Llama3.3-70B-CogniLink",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 213,
  "gated": false,
  "private": false,
  "last_modified": "2025-06-22T08:15:09.000Z",
  "created_at": "2025-01-11T16:56:51.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

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  "lastModified": "2025-06-22T08:15:09.000Z",
  "author": "mradermacher",
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