metadata
base_model: CohereForAI/c4ai-command-r-plus
extra_gated_fields:
Affiliation: text
Country:
options:
- Aruba
- Afghanistan
- Angola
- Anguilla
- Åland Islands
- Albania
- Andorra
- United Arab Emirates
- Argentina
- Armenia
- American Samoa
- Antarctica
- French Southern Territories
- Antigua and Barbuda
- Australia
- Austria
- Azerbaijan
- Burundi
- Belgium
- Benin
- Bonaire Sint Eustatius and Saba
- Burkina Faso
- Bangladesh
- Bulgaria
- Bahrain
- Bahamas
- Bosnia and Herzegovina
- Saint Barthélemy
- Belarus
- Belize
- Bermuda
- Plurinational State of Bolivia
- Brazil
- Barbados
- Brunei-Darussalam
- Bhutan
- Bouvet-Island
- Botswana
- Central African Republic
- Canada
- Cocos (Keeling) Islands
- Switzerland
- Chile
- China
- Côte-dIvoire
- Cameroon
- Democratic Republic of the Congo
- Cook Islands
- Colombia
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- Cabo Verde
- Costa Rica
- Cuba
- Curaçao
- Christmas Island
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- Cyprus
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- Djibouti
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- Western Sahara
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- Ethiopia
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- Equatorial Guinea
- Greece
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- Heard Island and McDonald Islands
- Honduras
- Croatia
- Haiti
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- Jersey
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- Qatar
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- Bolivarian Republic of Venezuela
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- VietNam
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- Wallis and Futuna
- Samoa
- Yemen
- South Africa
- Zambia
- Zimbabwe
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language:
- en
- fr
- de
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- it
- pt
- ja
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library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
About
static quants of https://huggingface.co/CohereForAI/c4ai-command-r-plus
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 39.6 | |
| GGUF | Q3_K_S | 46.0 | |
| GGUF | IQ3_S | 46.1 | beats Q3_K* |
| GGUF | IQ3_M | 47.8 | |
| PART 1 PART 2 | Q3_K_M | 51.1 | lower quality |
| PART 1 PART 2 | Q3_K_L | 55.5 | |
| PART 1 PART 2 | Q4_K_S | 59.7 | fast, recommended |
| PART 1 PART 2 | Q6_K | 85.3 | very good quality |
| PART 1 PART 2 PART 3 | Q8_0 | 110.4 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.