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auto-patch README.md
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README.md
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static quants of https://huggingface.co/Alsebay/NarumashiRTS-7B-V2-1
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<!-- provided-files -->
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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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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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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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static quants of https://huggingface.co/Alsebay/NarumashiRTS-7B-V2-1
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-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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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.2 | fast on arm, low quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/NarumashiRTS-7B-V2-1-GGUF/resolve/main/NarumashiRTS-7B-V2-1.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
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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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