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Model Intelligence Sheet

mradermacher/aya-23-35b-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/CohereLabs/aya-23-35B static quants are available at https://huggingface.co/mradermacher/aya-23-35B-GGUF

transformersggufenfrdeesitptjakozharelfaplidcshehinlrorutrukvibase_model:CohereLabs/aya-23-35Bbase_model:quantized:CohereLabs/aya-23-35Blicense:cc-by-nc-4.0endpoints_compatibleregion:us
mradermacher/aya-23-35b-i1-gguf visual
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Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

21 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
aya-23-35B.i1-IQ1_M.gguf GGUF IQ1_M 8.52 GB Download
aya-23-35B.i1-IQ1_S.gguf GGUF IQ1_S 7.94 GB Download
aya-23-35B.i1-IQ2_M.gguf GGUF IQ2_M 11.80 GB Download
aya-23-35B.i1-IQ2_S.gguf GGUF IQ2_S 11.03 GB Download
aya-23-35B.i1-IQ2_XS.gguf GGUF IQ2_XS 10.34 GB Download
aya-23-35B.i1-IQ2_XXS.gguf GGUF IQ2_XXS 9.49 GB Download
aya-23-35B.i1-IQ3_M.gguf GGUF IQ3_M 15.55 GB Download
aya-23-35B.i1-IQ3_S.gguf GGUF IQ3_S 14.77 GB Download
aya-23-35B.i1-IQ3_XS.gguf GGUF IQ3_XS 14.05 GB Download
aya-23-35B.i1-IQ3_XXS.gguf GGUF IQ3_XXS 12.88 GB Download
aya-23-35B.i1-IQ4_XS.gguf GGUF IQ4_XS 17.88 GB Download
aya-23-35B.i1-Q2_K.gguf GGUF Q2_K 12.87 GB Download
aya-23-35B.i1-Q3_K_L.gguf GGUF Q3_K_L 17.83 GB Download
aya-23-35B.i1-Q3_K_M.gguf GGUF Q3_K_M 16.41 GB Download
aya-23-35B.i1-Q3_K_S.gguf GGUF Q3_K_S 14.77 GB Download
aya-23-35B.i1-Q4_0.gguf GGUF 18.89 GB Download
aya-23-35B.i1-Q4_K_M.gguf GGUF Q4_K_M 20.05 GB Download
aya-23-35B.i1-Q4_K_S.gguf GGUF Q4_K_S 18.98 GB Download
aya-23-35B.i1-Q5_K_M.gguf GGUF Q5_K_M 23.29 GB Download
aya-23-35B.i1-Q5_K_S.gguf GGUF Q5_K_S 22.67 GB Download
aya-23-35B.i1-Q6_K.gguf GGUF Q6_K 26.74 GB Download

Model Details Live

Model Slug
mradermacher/aya-23-35b-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-05-24
Last Modified
2025-04-16
Gated
No
Private
No
HF SHA
5459bca25da38c19897ee900577083c5f8c5b270
License
cc-by-nc-4.0
Language
en, fr, de, es, it, pt, ja, ko, zh, ar, el, fa, pl, id, cs, he, hi, nl, ro, ru, tr, uk, vi
Base Model
CohereLabs/aya-23-35B

Metadata Inspector

Normalized metadata (stored in metadata_json)
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Mayotte\n    - Namibia\n    - New Caledonia\n    - Niger\n    - Norfolk Island\n    - Nigeria\n    - Nicaragua\n    - Niue\n    - Netherlands\n    - Norway\n    - Nepal\n    - Nauru\n    - New Zealand\n    - Oman\n    - Pakistan\n    - Panama\n    - Pitcairn\n    - Peru\n    - Philippines\n    - Palau\n    - Papua New Guinea\n    - Poland\n    - Puerto Rico\n    - North Korea\n    - Portugal\n    - Paraguay\n    - State of Palestine\n    - French Polynesia\n    - Qatar\n    - Réunion\n    - Romania\n    - Russia\n    - Rwanda\n    - Saudi Arabia\n    - Sudan\n    - Senegal\n    - Singapore\n    - South Georgia and the South Sandwich Islands\n    - Saint Helena Ascension and Tristan da Cunha\n    - Svalbard and Jan Mayen\n    - Solomon Islands\n    - Sierra Leone\n    - El Salvador\n    - San Marino\n    - Somalia\n    - Saint Pierre and Miquelon\n    - Serbia\n    - South Sudan\n    - Sao Tome and Principe\n    - Suriname\n    - Slovakia\n    - Slovenia\n    - Sweden\n    - Eswatini\n    - Sint Maarten (Dutch-part)\n    - Seychelles\n    - Syrian Arab Republic\n    - Turks and Caicos Islands\n    - Chad\n    - Togo\n    - Thailand\n    - Tajikistan\n    - Tokelau\n    - Turkmenistan\n    - Timor Leste\n    - Tonga\n    - Trinidad and Tobago\n    - Tunisia\n    - Turkey\n    - Tuvalu\n    - Taiwan\n    - United Republic of Tanzania\n    - Uganda\n    - Ukraine\n    - United States Minor Outlying Islands\n    - Uruguay\n    - United-States\n    - Uzbekistan\n    - Holy See (Vatican City State)\n    - Saint Vincent and the Grenadines\n    - Bolivarian Republic of Venezuela\n    - Virgin Islands British\n    - Virgin Islands U.S.\n    - VietNam\n    - Vanuatu\n    - Wallis and Futuna\n    - Samoa\n    - Yemen\n    - South Africa\n    - Zambia\n    - Zimbabwe\n    type: select\n  I agree to use this model for non-commercial use ONLY: checkbox\n  Name: text\nextra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and\n  acknowledge that the information you provide will be collected, used, and shared\n  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll\n  receive email updates about Cohere Labs and Cohere research, events, products and\n  services. You can unsubscribe at any time.\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\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\nweighted/imatrix quants of https://huggingface.co/CohereLabs/aya-23-35B\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/aya-23-35B-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-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ1_S.gguf) | i1-IQ1_S | 8.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ1_M.gguf) | i1-IQ1_M | 9.2 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 10.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 11.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ2_S.gguf) | i1-IQ2_S | 11.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ2_M.gguf) | i1-IQ2_M | 12.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q2_K.gguf) | i1-Q2_K | 13.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 15.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ3_S.gguf) | i1-IQ3_S | 16.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 16.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ3_M.gguf) | i1-IQ3_M | 16.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.7 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 19.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 19.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q4_0.gguf) | i1-Q4_0 | 20.4 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 24.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 25.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/aya-23-35B-i1-GGUF/resolve/main/aya-23-35B.i1-Q6_K.gguf) | i1-Q6_K | 28.8 | 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.\n\n<!-- end -->\n",
    "related_quantizations": []
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    "base_model:CohereLabs/aya-23-35B",
    "base_model:quantized:CohereLabs/aya-23-35B",
    "license:cc-by-nc-4.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
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Source payload excerpt (from Hugging Face API)
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