mradermacher/gemmax2-28-9b-v0.1-i1-gguf overview

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    "license": "gemma",
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    "frontmatter": {
      "base_model": "ModelSpace/GemmaX2-28-9B-v0.1",
      "language": [
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      "library_name": "transformers",
      "license": "gemma",
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      "quantized_by": "mradermacher"
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    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/ModelSpace/GemmaX2-28-9B-v0.1  static quants are available at https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-GGUF",
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    "readme_markdown": "---\nbase_model: ModelSpace/GemmaX2-28-9B-v0.1\nlanguage:\n- ar\n- bn\n- cs\n- de\n- en\n- es\n- fa\n- fr\n- he\n- hi\n- id\n- it\n- ja\n- km\n- ko\n- lo\n- ms\n- my\n- nl\n- pl\n- pt\n- ru\n- th\n- tl\n- tr\n- ur\n- vi\n- zh\nlibrary_name: transformers\nlicense: gemma\nlicense_link: LICENSE\nlicense_name: license\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/ModelSpace/GemmaX2-28-9B-v0.1\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-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/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ1_S.gguf) | i1-IQ1_S | 2.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ1_M.gguf) | i1-IQ1_M | 2.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ2_S.gguf) | i1-IQ2_S | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ2_M.gguf) | i1-IQ2_M | 3.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q2_K.gguf) | i1-Q2_K | 3.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ3_S.gguf) | i1-IQ3_S | 4.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 4.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ3_M.gguf) | i1-IQ3_M | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 5.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 5.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 5.5 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 5.5 | fast on arm+i8mm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 5.5 | fast on arm+sve, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_0.gguf) | i1-Q4_0 | 5.6 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 5.6 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q5_K_S.gguf) | i1-Q5_K_S | 6.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/GemmaX2-28-9B-v0.1-i1-GGUF/resolve/main/GemmaX2-28-9B-v0.1.i1-Q6_K.gguf) | i1-Q6_K | 7.7 | 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": []
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    "base_model:ModelSpace/GemmaX2-28-9B-v0.1",
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    "license:gemma",
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