--- base_model: CohereForAI/c4ai-command-r-plus language: - en - fr - de - es - it - pt - ja - ko - zh - ar library_name: transformers license: cc-by-nc-4.0 quantized_by: mradermacher --- ## About weighted/imatrix quants of https://huggingface.co/CohereForAI/c4ai-command-r-plus 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_S.gguf) | i1-IQ1_S | 23.3 | for the desperate | | [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_XXS.gguf) | i1-IQ2_XXS | 28.7 | | | [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ2_XS.gguf) | i1-IQ2_XS | 31.7 | | | [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ2_S.gguf) | i1-IQ2_S | 33.4 | | | [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_XS.gguf) | i1-IQ3_XS | 43.7 | | | [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q3_K_S.gguf) | i1-Q3_K_S | 46.0 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ3_S.gguf) | i1-IQ3_S | 46.1 | beats Q3_K* | | [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-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 55.5 | IQ3_M probably better | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 56.3 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 59.5 | fast, low quality | | [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-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 71.9 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-r-plus-i1-GGUF/resolve/main/c4ai-command-r-plus.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 73.7 | | | [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.