mradermacher
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auto-patch README.md
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README.md
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@@ -41,6 +41,7 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q5_K_S.gguf) | Q5_K_S | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q5_K_M.gguf) | Q5_K_M | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.f16.gguf) | f16 | 3.2 | 16 bpw, overkill |
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@@ -61,6 +62,6 @@ questions you might have and/or if you want some other model quantized.
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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.
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<!-- end -->
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q5_K_S.gguf) | Q5_K_S | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q5_K_M.gguf) | Q5_K_M | 1.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.mmproj-fp16.gguf) | mmproj-fp16 | 1.4 | vision supplement |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Vikhr-2-VL-2b-Instruct-experimental-GGUF/resolve/main/Vikhr-2-VL-2b-Instruct-experimental.f16.gguf) | f16 | 3.2 | 16 bpw, overkill |
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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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