mradermacher/mxbai-rerank-large-v2-i1-gguf overview

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    "summary": "## About      weighted/imatrix quants of https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2  static quants are available at https://huggingface.co/mradermacher/mxbai-rerank-large-v2-GGUF",
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    "readme_markdown": "---\nbase_model: mixedbread-ai/mxbai-rerank-large-v2\nlanguage:\n- af\n- am\n- ar\n- as\n- az\n- be\n- bg\n- bn\n- br\n- bs\n- ca\n- cs\n- cy\n- da\n- de\n- el\n- en\n- eo\n- es\n- et\n- eu\n- fa\n- ff\n- fi\n- fr\n- fy\n- ga\n- gd\n- gl\n- gn\n- gu\n- ha\n- he\n- hi\n- hr\n- ht\n- hu\n- hy\n- id\n- ig\n- is\n- it\n- ja\n- jv\n- ka\n- kk\n- km\n- kn\n- ko\n- ku\n- ky\n- la\n- lg\n- li\n- ln\n- lo\n- lt\n- lv\n- mg\n- mk\n- ml\n- mn\n- mr\n- ms\n- my\n- ne\n- nl\n- no\n- ns\n- om\n- or\n- pa\n- pl\n- ps\n- pt\n- qu\n- rm\n- ro\n- ru\n- sa\n- sc\n- sd\n- si\n- sk\n- sl\n- so\n- sq\n- sr\n- ss\n- su\n- sv\n- sw\n- ta\n- te\n- th\n- tl\n- tn\n- tr\n- ug\n- uk\n- ur\n- uz\n- vi\n- wo\n- xh\n- yi\n- yo\n- zh\n- zu\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/mixedbread-ai/mxbai-rerank-large-v2\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/mxbai-rerank-large-v2-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/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/mxbai-rerank-large-v2-i1-GGUF/resolve/main/mxbai-rerank-large-v2.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | 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",
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