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Navrasa-2.0-Rudra-7b-dare-ties-GGUF

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GGUF
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saucam/Rudra-7b
Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0
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README.md CHANGED
@@ -38,7 +38,7 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.IQ4_XS.gguf) | IQ4_XS | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_0.gguf) | Q4_0 | 5.1 | fast, low quality |
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- | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.IQ4_NL.gguf) | IQ4_NL | 5.1 | slightly worse than Q4_K_S |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q5_K_S.gguf) | Q5_K_S | 6.1 | |
@@ -46,7 +46,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q8_0.gguf) | Q8_0 | 9.2 | 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/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q3_K_L.gguf) | Q3_K_L | 4.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.IQ4_XS.gguf) | IQ4_XS | 4.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_0.gguf) | Q4_0 | 5.1 | fast, low quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.IQ4_NL.gguf) | IQ4_NL | 5.1 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q5_K_S.gguf) | Q5_K_S | 6.1 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.Q6_K.gguf) | Q6_K | 7.1 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Navrasa-2.0-Rudra-7b-dare-ties-GGUF/resolve/main/Navrasa-2.0-Rudra-7b-dare-ties.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
50
  types (lower is better):
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