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legraphista
/
xLAM-7b-r-IMat-GGUF

Text Generation
GGUF
PyTorch
English
function-calling
LLM Agent
tool-use
mistral
quantized
GGUF
quantization
imat
imatrix
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
Model card Files Community
legraphista commited on
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1 Parent(s): a1ed909

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  1. README.md +3 -3
README.md CHANGED
@@ -88,9 +88,9 @@ Link: [here](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/im
88
  | [xLAM-7b-r.Q3_K_L.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K_L.gguf) | Q3_K_L | 3.82GB | ✅ Available | 🟢 IMatrix | 📦 No
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  | [xLAM-7b-r.Q3_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K_S.gguf) | Q3_K_S | 3.16GB | ✅ Available | 🟢 IMatrix | 📦 No
90
  | [xLAM-7b-r.IQ3_M.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ3_M.gguf) | IQ3_M | 3.28GB | ✅ Available | 🟢 IMatrix | 📦 No
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- | xLAM-7b-r.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
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- | xLAM-7b-r.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
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- | xLAM-7b-r.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
94
  | [xLAM-7b-r.Q2_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q2_K.gguf) | Q2_K | 2.72GB | ✅ Available | 🟢 IMatrix | 📦 No
95
  | [xLAM-7b-r.Q2_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q2_K_S.gguf) | Q2_K_S | 2.53GB | ✅ Available | 🟢 IMatrix | 📦 No
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  | xLAM-7b-r.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
 
88
  | [xLAM-7b-r.Q3_K_L.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K_L.gguf) | Q3_K_L | 3.82GB | ✅ Available | 🟢 IMatrix | 📦 No
89
  | [xLAM-7b-r.Q3_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K_S.gguf) | Q3_K_S | 3.16GB | ✅ Available | 🟢 IMatrix | 📦 No
90
  | [xLAM-7b-r.IQ3_M.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ3_M.gguf) | IQ3_M | 3.28GB | ✅ Available | 🟢 IMatrix | 📦 No
91
+ | [xLAM-7b-r.IQ3_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ3_S.gguf) | IQ3_S | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
92
+ | [xLAM-7b-r.IQ3_XS.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ3_XS.gguf) | IQ3_XS | 3.02GB | ✅ Available | 🟢 IMatrix | 📦 No
93
+ | [xLAM-7b-r.IQ3_XXS.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ3_XXS.gguf) | IQ3_XXS | 2.83GB | ✅ Available | 🟢 IMatrix | 📦 No
94
  | [xLAM-7b-r.Q2_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q2_K.gguf) | Q2_K | 2.72GB | ✅ Available | 🟢 IMatrix | 📦 No
95
  | [xLAM-7b-r.Q2_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q2_K_S.gguf) | Q2_K_S | 2.53GB | ✅ Available | 🟢 IMatrix | 📦 No
96
  | xLAM-7b-r.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -