mradermacher/nous-v1-8b-i1-gguf overview

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    "summary": "## About      weighted/imatrix quants of https://huggingface.co/Loom-Labs/Apollo-1-8B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Nous-V1-8B-GGUF",
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    "readme_markdown": "---\nbase_model: Loom-Labs/Apollo-1-8B\nlanguage:\n- en\n- fr\n- pt\n- de\n- ro\n- sv\n- da\n- bg\n- ru\n- cs\n- el\n- uk\n- es\n- nl\n- sk\n- hr\n- pl\n- lt\n- nb\n- nn\n- fa\n- sl\n- gu\n- lv\n- it\n- oc\n- ne\n- mr\n- be\n- sr\n- lb\n- vec\n- as\n- cy\n- szl\n- ast\n- hne\n- awa\n- mai\n- bho\n- sd\n- ga\n- fo\n- hi\n- pa\n- bn\n- or\n- tg\n- yi\n- lmo\n- lij\n- scn\n- fur\n- sc\n- gl\n- ca\n- is\n- sq\n- li\n- prs\n- af\n- mk\n- si\n- ur\n- mag\n- bs\n- hy\n- zh\n- yue\n- my\n- ar\n- he\n- mt\n- id\n- ms\n- tl\n- ceb\n- jv\n- su\n- min\n- ban\n- pag\n- ilo\n- war\n- ta\n- te\n- kn\n- ml\n- tr\n- az\n- uz\n- kk\n- ba\n- tt\n- th\n- lo\n- fi\n- et\n- hu\n- vi\n- km\n- ja\n- ko\n- ka\n- eu\n- ht\n- pap\n- kea\n- tpi\n- sw\nlibrary_name: transformers\nlicense: other\nlicense_link: https://huggingface.co/apexion-ai/Nous-V1-8B/blob/main/LICENSE.md\nlicense_name: anvdl-1.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen3\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/Loom-Labs/Apollo-1-8B\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#Nous-V1-8B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Nous-V1-8B-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/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 3.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.2 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q2_K.gguf) | i1-Q2_K | 3.4 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.9 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ3_M.gguf) | i1-IQ3_M | 4.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.2 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.5 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q4_0.gguf) | i1-Q4_0 | 4.9 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.9 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.9 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q4_1.gguf) | i1-Q4_1 | 5.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 6.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Nous-V1-8B-i1-GGUF/resolve/main/Nous-V1-8B.i1-Q6_K.gguf) | i1-Q6_K | 6.8 | 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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