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Duplicate from mradermacher/c4ai-command-a-03-2025-GGUF

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Co-authored-by: team mradermacher <[email protected]>

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  2. README.md +95 -0
  3. c4ai-command-a-03-2025.IQ4_XS.gguf.part1of2 +3 -0
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README.md ADDED
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+ ---
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+ base_model: CohereForAI/c4ai-command-a-03-2025
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+ extra_gated_fields:
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+ Affiliation: text
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+ Country: country
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+ I agree to use this model for non-commercial use ONLY: checkbox
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+ Name: text
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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
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+ acknowledge that the information you provide will be collected, used, and shared
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+ in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
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+ receive email updates about C4AI and Cohere research, events, products and services.
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+ You can unsubscribe at any time.
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+ language:
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+ - en
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+ - fr
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+ - de
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+ - es
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+ - it
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+ - pt
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+ - ja
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+ - ko
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+ - zh
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+ - ar
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+ - el
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+ - fa
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+ - pl
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+ - id
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+ - cs
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+ - he
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+ - hi
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+ - nl
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+ - ro
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+ - ru
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+ - tr
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+ - uk
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+ - vi
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+ library_name: transformers
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+ license: cc-by-nc-4.0
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+ quantized_by: mradermacher
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+ ---
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+ ## About
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+
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+ <!-- ### quantize_version: 2 -->
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+ <!-- ### output_tensor_quantised: 1 -->
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+ <!-- ### convert_type: hf -->
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+ <!-- ### vocab_type: -->
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+ <!-- ### tags: -->
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+ static quants of https://huggingface.co/CohereForAI/c4ai-command-a-03-2025
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+
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+ <!-- provided-files -->
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+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/c4ai-command-a-03-2025-i1-GGUF
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+ ## Usage
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+
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+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
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+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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+ more details, including on how to concatenate multi-part files.
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+
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+ ## Provided Quants
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+
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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [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 | |
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+ | [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 | |
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+ | [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 |
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+ | [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 | |
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+ | [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 | |
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+ | [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 |
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+ | [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 |
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+ | [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 | |
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+ | [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 | |
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+ | [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 |
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+ | [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 |
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+
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+ Here is a handy graph by ikawrakow comparing some lower-quality quant
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+ types (lower is better):
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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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+ And here are Artefact2's thoughts on the matter:
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+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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+
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+ ## FAQ / Model Request
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+
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+ See https://huggingface.co/mradermacher/model_requests for some answers to
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+ questions you might have and/or if you want some other model quantized.
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+
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+ ## Thanks
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+
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+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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+ me use its servers and providing upgrades to my workstation to enable
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+ 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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+
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+ <!-- end -->
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