mradermacher/eurollm-22b-instruct-2512-i1-gguf overview

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    "license": "apache-2.0",
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    "frontmatter": {
      "base_model": "utter-project/EuroLLM-22B-Instruct-2512",
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    "summary": "## About         weighted/imatrix quants of https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-GGUF",
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    "readme_markdown": "---\nbase_model: utter-project/EuroLLM-22B-Instruct-2512\nlanguage:\n- en\n- de\n- es\n- fr\n- it\n- pt\n- pl\n- nl\n- tr\n- sv\n- cs\n- el\n- hu\n- ro\n- fi\n- uk\n- sl\n- sk\n- da\n- lt\n- lv\n- et\n- bg\n- no\n- ca\n- hr\n- ga\n- mt\n- gl\n- zh\n- ru\n- ko\n- ja\n- ar\n- hi\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\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 -->\n<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nweighted/imatrix quants of https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512\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#EuroLLM-22B-Instruct-2512-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-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/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ1_S.gguf) | i1-IQ1_S | 5.4 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ1_M.gguf) | i1-IQ1_M | 5.8 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ2_S.gguf) | i1-IQ2_S | 7.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ2_M.gguf) | i1-IQ2_M | 8.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q2_K_S.gguf) | i1-Q2_K_S | 8.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q2_K.gguf) | i1-Q2_K | 8.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 9.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ3_XS.gguf) | i1-IQ3_XS | 9.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q3_K_S.gguf) | i1-Q3_K_S | 10.1 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ3_S.gguf) | i1-IQ3_S | 10.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ3_M.gguf) | i1-IQ3_M | 10.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q3_K_M.gguf) | i1-Q3_K_M | 11.2 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q3_K_L.gguf) | i1-Q3_K_L | 12.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q4_0.gguf) | i1-Q4_0 | 13.1 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q4_K_S.gguf) | i1-Q4_K_S | 13.1 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q4_K_M.gguf) | i1-Q4_K_M | 13.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q4_1.gguf) | i1-Q4_1 | 14.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q5_K_S.gguf) | i1-Q5_K_S | 15.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q5_K_M.gguf) | i1-Q5_K_M | 16.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/EuroLLM-22B-Instruct-2512-i1-GGUF/resolve/main/EuroLLM-22B-Instruct-2512.i1-Q6_K.gguf) | i1-Q6_K | 18.7 | 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:utter-project/EuroLLM-22B-Instruct-2512",
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