mradermacher/aya-expanse-8b-abliterated-gguf overview

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    "quantized_by": "mradermacher",
    "tags": [
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    "frontmatter": {
      "base_model": "lenML/aya-expanse-8b-abliterated",
      "language": [
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    "summary": "## About      static quants of https://huggingface.co/lenML/aya-expanse-8b-abliterated  weighted/imatrix quants are available at https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-i1-GGUF",
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    "readme_markdown": "---\nbase_model: lenML/aya-expanse-8b-abliterated\nlanguage:\n- en\n- fr\n- de\n- es\n- it\n- pt\n- ja\n- ko\n- zh\n- ar\n- el\n- fa\n- pl\n- id\n- cs\n- he\n- hi\n- nl\n- ro\n- ru\n- tr\n- uk\n- vi\nlibrary_name: transformers\nlicense: cc-by-nc-4.0\nquantized_by: mradermacher\ntags:\n- gguf\n- CohereForAI\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/lenML/aya-expanse-8b-abliterated\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-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/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q2_K.gguf) | Q2_K | 3.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q3_K_S.gguf) | Q3_K_S | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q3_K_M.gguf) | Q3_K_M | 4.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q3_K_L.gguf) | Q3_K_L | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.IQ4_XS.gguf) | IQ4_XS | 4.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.9 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q4_K_M.gguf) | Q4_K_M | 5.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q5_K_S.gguf) | Q5_K_S | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q5_K_M.gguf) | Q5_K_M | 5.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q6_K.gguf) | Q6_K | 6.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-expanse-8b-abliterated-GGUF/resolve/main/aya-expanse-8b-abliterated.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |\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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