auto-patch README.md
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README.md
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Behemoth-R1-123B-v2-GGUF).***
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weighted/imatrix quants
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_S.gguf.part2of2) | Q3_K_S | 52.9 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_M.gguf.part2of2) | Q3_K_M | 59.2 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_L.gguf.part2of2) | Q3_K_L | 64.7 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_S.gguf.part2of2) | Q4_K_S | 69.7 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_M.gguf.part2of2) | Q4_K_M | 73.3 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_S.gguf.part2of2) | Q5_K_S | 84.5 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part3of3) | Q6_K | 100.7 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part3of3) | Q8_0 | 130.4 | fast, best quality |
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Behemoth-R1-123B-v2-GGUF).***
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-i1-GGUF
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_S.gguf.part2of2) | Q3_K_S | 52.9 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_M.gguf.part2of2) | Q3_K_M | 59.2 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q3_K_L.gguf.part2of2) | Q3_K_L | 64.7 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.IQ4_XS.gguf.part2of2) | IQ4_XS | 66.1 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_S.gguf.part2of2) | Q4_K_S | 69.7 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q4_K_M.gguf.part2of2) | Q4_K_M | 73.3 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_S.gguf.part2of2) | Q5_K_S | 84.5 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q5_K_M.gguf.part2of2) | Q5_K_M | 86.6 | |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q6_K.gguf.part3of3) | Q6_K | 100.7 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Behemoth-R1-123B-v2-GGUF/resolve/main/Behemoth-R1-123B-v2.Q8_0.gguf.part3of3) | Q8_0 | 130.4 | fast, best quality |
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