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---
license: cc-by-nc-4.0
pipeline_tag: text-generation
base_model: CohereForAI/c4ai-command-r-plus
---
# Command R+ GGUF
## Description
This repository contains GGUF weights for `llama.cpp`. Support for them was added in release [`b2636`](https://github.com/ggerganov/llama.cpp/releases/tag/b2636).
In the folder `imatrix`, you can find imatrix quants. The importance matrix was trained using [kalomaze's](https://github.com/kalomaze) [`groups_merged.txt`](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
## Quickstart
1. Ensure that you have release [`b2636`](https://github.com/ggerganov/llama.cpp/releases/tag/b2636) or newer.
2. Start with the command below:
```bash
./main -p "<|START_OF_TURN_TOKEN|><|USER_TOKEN|>Who are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>" --color -m /path/to/command-r-plus-Q3_K_L-00001-of-00002.gguf
```
## Perplexity on `wikitext-2-raw` [WIP]
| Variant | PPL Value | Standard Deviation |
|----------|-----------|--------------------|
| Q2_K | 5.7178 | +/- 0.03418 |
| Q3_K_L | 4.6214 | +/- 0.02629 |
| Q4_K_M | 4.4625 | +/- 0.02522 |
| f16 | 4.3845 | +/- 0.02468 |
## Merging Weights
After commit `8a28d12`, weights are split with `gguf-split`, which means that you don't have to merge weights. Simply pass the first split, as in the example above, and `llama.cpp` will automatically load all splits. If, for some reason, you want to merge splits, you can use the following command:
```bash
./gguf-split --merge /path/to/command-r-plus-f16-00001-of-00005.gguf /path/to/command-r-plus-f16-combined.gguf
```
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