mradermacher/yanoljanext-rosetta-27b-2511-gguf overview

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      "base_model": "yanolja/YanoljaNEXT-Rosetta-27B-2511",
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    "summary": "## About         static quants of https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-27B-2511  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-i1-GGUF",
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    "readme_markdown": "---\nbase_model: yanolja/YanoljaNEXT-Rosetta-27B-2511\nlanguage:\n- ar\n- bg\n- zh\n- cs\n- da\n- nl\n- en\n- fi\n- fr\n- de\n- el\n- gu\n- he\n- hi\n- hu\n- id\n- it\n- ja\n- ko\n- fa\n- pl\n- pt\n- ro\n- ru\n- sk\n- es\n- sv\n- tl\n- th\n- tr\n- uk\n- vi\nlibrary_name: transformers\nlicense: gemma\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- translation\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/yanolja/YanoljaNEXT-Rosetta-27B-2511\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#YanoljaNEXT-Rosetta-27B-2511-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-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/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q2_K.gguf) | Q2_K | 11.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q3_K_S.gguf) | Q3_K_S | 12.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q3_K_M.gguf) | Q3_K_M | 14.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q3_K_L.gguf) | Q3_K_L | 15.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.IQ4_XS.gguf) | IQ4_XS | 15.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q4_K_S.gguf) | Q4_K_S | 16.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q4_K_M.gguf) | Q4_K_M | 17.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q5_K_S.gguf) | Q5_K_S | 19.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q5_K_M.gguf) | Q5_K_M | 20.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q6_K.gguf) | Q6_K | 23.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/YanoljaNEXT-Rosetta-27B-2511-GGUF/resolve/main/YanoljaNEXT-Rosetta-27B-2511.Q8_0.gguf) | Q8_0 | 30.3 | 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",
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