---
base_model: CohereForAI/c4ai-command-r-plus
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    type: select
  I agree to use this model for non-commercial use ONLY: checkbox
  Name: text
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    options:
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extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
  acknowledge that the information you provide will be collected, used, and shared
  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy).
language:
- en
- fr
- de
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- pt
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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: nicoboss -->
weighted/imatrix quants of https://huggingface.co/CohereForAI/c4ai-command-r-plus

<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/c4ai-command-r-plus-GGUF
## 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-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ1_M.gguf) | i1-IQ1_M | 25.3 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ2_M.gguf) | i1-IQ2_M | 36.1 |  |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q2_K.gguf) | i1-Q2_K | 39.6 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 40.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ3_M.gguf) | i1-IQ3_M | 47.8 |  |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 51.1 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 59.7 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 62.9 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 85.3 | practically like static Q6_K |

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

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. 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.

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