mradermacher/golden-curry-12b-i1-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "GreenerPastures/Golden-Curry-12B",
    "datasets": [
      "Mielikki/Erebus-87k",
      "PocketDoc/Dans-MemoryCore-CoreCurriculum-Small",
      "NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered",
      "Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
      "NewEden/Gryphe-Sonnet-3.5-35k-Subset",
      "Nitral-AI/GU_Instruct-ShareGPT",
      "Nitral-AI/Medical_Instruct-ShareGPT",
      "AquaV/Resistance-Sharegpt",
      "AquaV/US-Army-Survival-Sharegpt",
      "Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
      "Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
      "ResplendentAI/bluemoon",
      "hardlyworking/openerotica-freedomrp-sharegpt-system",
      "MinervaAI/Aesir-Preview",
      "anthracite-core/c2_logs_32k_v1.1",
      "Nitral-AI/Creative_Writing-ShareGPT",
      "PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT",
      "NewEden/Opus-accepted-hermes-rejected-shuffled"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "GreenerPastures/Golden-Curry-12B",
      "datasets": [
        "Mielikki/Erebus-87k",
        "PocketDoc/Dans-MemoryCore-CoreCurriculum-Small",
        "NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered",
        "Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
        "NewEden/Gryphe-Sonnet-3.5-35k-Subset",
        "Nitral-AI/GU_Instruct-ShareGPT",
        "Nitral-AI/Medical_Instruct-ShareGPT",
        "AquaV/Resistance-Sharegpt",
        "AquaV/US-Army-Survival-Sharegpt",
        "Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
        "Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
        "ResplendentAI/bluemoon",
        "hardlyworking/openerotica-freedomrp-sharegpt-system",
        "MinervaAI/Aesir-Preview",
        "anthracite-core/c2_logs_32k_v1.1",
        "Nitral-AI/Creative_Writing-ShareGPT",
        "PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT",
        "NewEden/Opus-accepted-hermes-rejected-shuffled"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/GreenerPastures/Golden-Curry-12B  static quants are available at https://huggingface.co/mradermacher/Golden-Curry-12B-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: GreenerPastures/Golden-Curry-12B\ndatasets:\n- Mielikki/Erebus-87k\n- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small\n- NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered\n- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned\n- NewEden/Gryphe-Sonnet-3.5-35k-Subset\n- Nitral-AI/GU_Instruct-ShareGPT\n- Nitral-AI/Medical_Instruct-ShareGPT\n- AquaV/Resistance-Sharegpt\n- AquaV/US-Army-Survival-Sharegpt\n- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned\n- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned\n- ResplendentAI/bluemoon\n- hardlyworking/openerotica-freedomrp-sharegpt-system\n- MinervaAI/Aesir-Preview\n- anthracite-core/c2_logs_32k_v1.1\n- Nitral-AI/Creative_Writing-ShareGPT\n- PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT\n- NewEden/Opus-accepted-hermes-rejected-shuffled\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\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/GreenerPastures/Golden-Curry-12B\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Golden-Curry-12B-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/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q4_1.gguf) | i1-Q4_1 | 7.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Golden-Curry-12B-i1-GGUF/resolve/main/Golden-Curry-12B.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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",
    "en",
    "dataset:Mielikki/Erebus-87k",
    "dataset:PocketDoc/Dans-MemoryCore-CoreCurriculum-Small",
    "dataset:NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered",
    "dataset:Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned",
    "dataset:NewEden/Gryphe-Sonnet-3.5-35k-Subset",
    "dataset:Nitral-AI/GU_Instruct-ShareGPT",
    "dataset:Nitral-AI/Medical_Instruct-ShareGPT",
    "dataset:AquaV/Resistance-Sharegpt",
    "dataset:AquaV/US-Army-Survival-Sharegpt",
    "dataset:Gryphe/Sonnet3.5-SlimOrcaDedupCleaned",
    "dataset:Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned",
    "dataset:ResplendentAI/bluemoon",
    "dataset:hardlyworking/openerotica-freedomrp-sharegpt-system",
    "dataset:MinervaAI/Aesir-Preview",
    "dataset:anthracite-core/c2_logs_32k_v1.1",
    "dataset:Nitral-AI/Creative_Writing-ShareGPT",
    "dataset:PJMixers/lodrick-the-lafted_OpusStories-Story2Prompt-ShareGPT",
    "dataset:NewEden/Opus-accepted-hermes-rejected-shuffled",
    "base_model:GreenerPastures/Golden-Curry-12B",
    "base_model:quantized:GreenerPastures/Golden-Curry-12B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 1,
  "downloads": 698,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-20T14:10:41.000Z",
  "created_at": "2025-04-20T12:10:07.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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