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Yi-34Bx2-MOE-200K-GGUF

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GGUF
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@@ -34,14 +34,13 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.IQ4_XS.gguf) | IQ4_XS | 33.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_0.gguf) | Q4_0 | 35.0 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_K_S.gguf) | Q4_K_S | 35.2 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.IQ4_NL.gguf) | IQ4_NL | 35.3 | slightly worse than Q4_K_S |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_K_M.gguf) | Q4_K_M | 37.3 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q5_K_S.gguf) | Q5_K_S | 42.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q5_K_M.gguf) | Q5_K_M | 43.7 | |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q6_K.gguf.part2of2) | Q6_K | 50.5 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q8_0.gguf.part2of2) | Q8_0 | 65.1 | 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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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.IQ4_XS.gguf) | IQ4_XS | 33.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_0.gguf) | Q4_0 | 35.0 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_K_S.gguf) | Q4_K_S | 35.2 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.IQ4_NL.gguf) | IQ4_NL | 35.3 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q4_K_M.gguf) | Q4_K_M | 37.3 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q5_K_S.gguf) | Q5_K_S | 42.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q5_K_M.gguf) | Q5_K_M | 43.7 | |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q6_K.gguf.part2of2) | Q6_K | 50.5 | very good quality |
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  | [PART 1](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Yi-34Bx2-MOE-200K-GGUF/resolve/main/Yi-34Bx2-MOE-200K.Q8_0.gguf.part2of2) | Q8_0 | 65.1 | 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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