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auto-patch README.md
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README.md
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@@ -6,12 +6,17 @@ library_name: transformers
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license: apache-2.0
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quantized_by: mradermacher
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tags:
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- text-generation-inference
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- unsloth
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- mistral
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- trl
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- sft
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---
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## About
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.IQ4_NL.gguf) | IQ4_NL | 4.4 |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q8_0.gguf) | Q8_0 | 7.9 | 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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license: apache-2.0
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quantized_by: mradermacher
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tags:
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- mergekit
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- merge
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- 128k_Context
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- chemistry
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- biology
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- music
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- code
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- medical
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- not-for-all-audiences
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- text-generation-inference
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- Cyber-Series
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---
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## About
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.IQ4_NL.gguf) | IQ4_NL | 4.4 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Mixtral_AI_Cyber_2.0-GGUF/resolve/main/Mixtral_AI_Cyber_2.0.Q8_0.gguf) | Q8_0 | 7.9 | 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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