mradermacher/c4ai-command-a-03-2025-i1-gguf IQ1_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
mradermacher/c4ai-command-a-03-2025-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/CohereLabs/c4ai-command-a-03-2025 static quants are available at https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF
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transformers
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Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| c4ai-command-a-03-2025.i1-IQ1_M.gguf | GGUF | IQ1_M | 24.99 GB | Download |
| c4ai-command-a-03-2025.i1-IQ1_S.gguf | GGUF | IQ1_S | 22.94 GB | Download |
| c4ai-command-a-03-2025.i1-IQ2_M.gguf | GGUF | IQ2_M | 35.75 GB | Download |
| c4ai-command-a-03-2025.i1-IQ2_S.gguf | GGUF | IQ2_S | 33.02 GB | Download |
| c4ai-command-a-03-2025.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 31.42 GB | Download |
| c4ai-command-a-03-2025.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 28.40 GB | Download |
| c4ai-command-a-03-2025.i1-IQ3_S.gguf | GGUF | IQ3_S | 45.70 GB | Download |
| c4ai-command-a-03-2025.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 43.34 GB | Download |
| c4ai-command-a-03-2025.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 40.45 GB | Download |
| c4ai-command-a-03-2025.i1-Q2_K.gguf | GGUF | Q2_K | 39.23 GB | Download |
| c4ai-command-a-03-2025.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 36.36 GB | Download |
| c4ai-command-a-03-2025.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 45.60 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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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). You’ll receive email updates about Cohere Labs and Cohere research, events, products and services. You can unsubscribe at any time.",
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"summary": "## About weighted/imatrix quants of https://huggingface.co/CohereLabs/c4ai-command-a-03-2025 static quants are available at https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF",
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"readme_markdown": "---\nbase_model: CohereLabs/c4ai-command-a-03-2025\nextra_gated_fields:\n Affiliation: text\n Country: country\n I agree to use this model for non-commercial use ONLY: checkbox\n Name: text\nextra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and\n acknowledge that the information you provide will be collected, used, and shared\n in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll\n receive email updates about Cohere Labs and Cohere research, events, products and\n services. You can unsubscribe at any time.\nlanguage:\n- en\n- fr\n- de\n- es\n- it\n- pt\n- ja\n- ko\n- zh\n- ar\n- el\n- fa\n- pl\n- id\n- cs\n- he\n- hi\n- nl\n- ro\n- ru\n- tr\n- uk\n- vi\nlibrary_name: transformers\nlicense: cc-by-nc-4.0\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/CohereLabs/c4ai-command-a-03-2025\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/c4ai-command-a-03-2025-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ1_S.gguf) | i1-IQ1_S | 24.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ1_M.gguf) | i1-IQ1_M | 26.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 30.6 | |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ2_XS.gguf) | i1-IQ2_XS | 33.8 | |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ2_S.gguf) | i1-IQ2_S | 35.6 | |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ2_M.gguf) | i1-IQ2_M | 38.5 | |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q2_K_S.gguf) | i1-Q2_K_S | 39.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q2_K.gguf) | i1-Q2_K | 42.2 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 43.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ3_XS.gguf) | i1-IQ3_XS | 46.6 | |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q3_K_S.gguf) | i1-Q3_K_S | 49.1 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ3_S.gguf) | i1-IQ3_S | 49.2 | beats Q3_K* |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 50.9 | |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 54.5 | IQ3_S probably better |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 59.2 | IQ3_M probably better |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 60.1 | |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 63.6 | fast, low quality |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 63.9 | optimal size/speed/quality |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 67.2 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_1.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q4_1.gguf.part2of2) | i1-Q4_1 | 70.1 | |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 76.9 | |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 78.9 | |\n| [PART 1](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF/resolve/main/c4ai-command-a-03-2025.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 91.2 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis 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.\n\n<!-- end -->\n",
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Source payload excerpt (from Hugging Face API)
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