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---
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
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- Switzerland
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- China
- Côte-dIvoire
- Cameroon
- Democratic Republic of the Congo
- Cook Islands
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- Jersey
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- Saint-Kitts-and-Nevis
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- Saint-Lucia
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- Peru
- Philippines
- Palau
- Papua New Guinea
- Poland
- Puerto Rico
- North Korea
- Portugal
- Paraguay
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- French Polynesia
- Qatar
- Réunion
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- Russia
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- Singapore
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- Saint Helena Ascension and Tristan da Cunha
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- Sint Maarten (Dutch-part)
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- Chad
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- Thailand
- Tajikistan
- Tokelau
- Turkmenistan
- Timor Leste
- Tonga
- Trinidad and Tobago
- Tunisia
- Turkey
- Tuvalu
- Taiwan
- United Republic of Tanzania
- Uganda
- Ukraine
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- Uruguay
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- Holy See (Vatican City State)
- Saint Vincent and the Grenadines
- Bolivarian Republic of Venezuela
- Virgin Islands British
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- VietNam
- Vanuatu
- Wallis and Futuna
- Samoa
- Yemen
- South Africa
- Zambia
- Zimbabwe
type: select
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language:
- en
- fr
- de
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library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/CohereForAI/c4ai-command-r-plus
<!-- provided-files -->
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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q2_K.gguf) | Q2_K | 39.6 | |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q3_K_S.gguf) | Q3_K_S | 46.0 | |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.IQ3_S.gguf) | IQ3_S | 46.1 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.IQ3_M.gguf) | IQ3_M | 47.8 | |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q3_K_M.gguf.part2of2) | Q3_K_M | 51.1 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q3_K_L.gguf.part2of2) | Q3_K_L | 55.5 | |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q4_K_S.gguf.part2of2) | Q4_K_S | 59.7 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q4_K_M.gguf.part2of2) | Q4_K_M | 62.9 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q5_K_S.gguf.part2of2) | Q5_K_S | 71.9 | |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q6_K.gguf.part2of2) | Q6_K | 85.3 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF/resolve/main/c4ai-command-r-plus.Q8_0.gguf.part3of3) | 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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->
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