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legraphista
/
K2-IMat-GGUF

Text Generation
GGUF
English
nlp
llm
quantized
GGUF
imatrix
quantization
imat
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
Model card Files Community
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d2b70c2
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@@ -86,7 +86,7 @@ Link: [here](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/imatrix.d
86
  | [K2.Q2_K.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.Q2_K.gguf) | Q2_K | 24.11GB | ✅ Available | 🟢 IMatrix | 📦 No
87
  | [K2.Q2_K_S.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.Q2_K_S.gguf) | Q2_K_S | 21.98GB | ✅ Available | 🟢 IMatrix | 📦 No
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  | [K2.IQ2_M.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.IQ2_M.gguf) | IQ2_M | 22.41GB | ✅ Available | 🟢 IMatrix | 📦 No
89
- | K2.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
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  | K2.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
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  | K2.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
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  | K2.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
 
86
  | [K2.Q2_K.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.Q2_K.gguf) | Q2_K | 24.11GB | ✅ Available | 🟢 IMatrix | 📦 No
87
  | [K2.Q2_K_S.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.Q2_K_S.gguf) | Q2_K_S | 21.98GB | ✅ Available | 🟢 IMatrix | 📦 No
88
  | [K2.IQ2_M.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.IQ2_M.gguf) | IQ2_M | 22.41GB | ✅ Available | 🟢 IMatrix | 📦 No
89
+ | [K2.IQ2_S.gguf](https://huggingface.co/legraphista/K2-IMat-GGUF/blob/main/K2.IQ2_S.gguf) | IQ2_S | 20.78GB | ✅ Available | 🟢 IMatrix | 📦 No
90
  | K2.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
91
  | K2.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
92
  | K2.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -