--- base_model: CohereForAI/c4ai-command-a-03-2025 extra_gated_fields: Affiliation: text Country: country I agree to use this model for non-commercial use ONLY: checkbox Name: text 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). You’ll receive email updates about C4AI and Cohere research, events, products and services. You can unsubscribe at any time. language: - en - fr - de - es - it - pt - ja - ko - zh - ar - el - fa - pl - id - cs - he - hi - nl - ro - ru - tr - uk - vi library_name: transformers license: cc-by-nc-4.0 quantized_by: mradermacher --- ## About static quants of https://huggingface.co/CohereForAI/c4ai-command-a-03-2025 weighted/imatrix quants are available at https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-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-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q2_K.gguf) | Q2_K | 42.2 | | | [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q3_K_S.gguf) | Q3_K_S | 49.1 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q3_K_M.gguf.part2of2) | Q3_K_M | 54.5 | lower quality | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q3_K_L.gguf.part2of2) | Q3_K_L | 59.2 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.IQ4_XS.gguf.part2of2) | IQ4_XS | 60.7 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q4_K_S.gguf.part2of2) | Q4_K_S | 63.9 | fast, recommended | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q4_K_M.gguf.part2of2) | Q4_K_M | 67.2 | fast, recommended | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q5_K_S.gguf.part2of2) | Q5_K_S | 76.9 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q5_K_M.gguf.part2of2) | Q5_K_M | 78.9 | | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q6_K.gguf.part2of2) | Q6_K | 91.2 | very good quality | | [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF/resolve/main/c4ai-command-a-03-2025.Q8_0.gguf.part3of3) | Q8_0 | 118.1 | fast, best quality | 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.