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KoGemma-dpo-7b-v1-GGUF

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@@ -33,10 +33,14 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_S.gguf) | Q3_K_S | 4.1 | |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q8_0.gguf) | Q8_0 | 9.2 | 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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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_S.gguf) | Q3_K_S | 4.1 | |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.IQ4_XS.gguf) | IQ4_XS | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q5_K_S.gguf) | Q5_K_S | 6.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q5_K_M.gguf) | Q5_K_M | 6.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.Q8_0.gguf) | Q8_0 | 9.2 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/KoGemma-dpo-7b-v1-GGUF/resolve/main/KoGemma-dpo-7b-v1.f16.gguf) | f16 | 17.2 | 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):