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legraphista
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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
conversational
Model card Files Community
legraphista commited on
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README.md CHANGED
@@ -82,8 +82,8 @@ Link: [here](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/im
82
  | [xLAM-7b-r.Q5_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q5_K_S.gguf) | Q5_K_S | 5.00GB | ✅ Available | ⚪ Static | 📦 No
83
  | [xLAM-7b-r.Q4_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q4_K.gguf) | Q4_K | 4.37GB | ✅ Available | 🟢 IMatrix | 📦 No
84
  | [xLAM-7b-r.Q4_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q4_K_S.gguf) | Q4_K_S | 4.14GB | ✅ Available | 🟢 IMatrix | 📦 No
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- | xLAM-7b-r.IQ4_NL | IQ4_NL | - | ⏳ Processing | 🟢 IMatrix | -
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- | xLAM-7b-r.IQ4_XS | IQ4_XS | - | ⏳ Processing | 🟢 IMatrix | -
87
  | [xLAM-7b-r.Q3_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K.gguf) | Q3_K | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No
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
 
82
  | [xLAM-7b-r.Q5_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q5_K_S.gguf) | Q5_K_S | 5.00GB | ✅ Available | ⚪ Static | 📦 No
83
  | [xLAM-7b-r.Q4_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q4_K.gguf) | Q4_K | 4.37GB | ✅ Available | 🟢 IMatrix | 📦 No
84
  | [xLAM-7b-r.Q4_K_S.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q4_K_S.gguf) | Q4_K_S | 4.14GB | ✅ Available | 🟢 IMatrix | 📦 No
85
+ | [xLAM-7b-r.IQ4_NL.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ4_NL.gguf) | IQ4_NL | 4.13GB | ✅ Available | 🟢 IMatrix | 📦 No
86
+ | [xLAM-7b-r.IQ4_XS.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.IQ4_XS.gguf) | IQ4_XS | 3.91GB | ✅ Available | 🟢 IMatrix | 📦 No
87
  | [xLAM-7b-r.Q3_K.gguf](https://huggingface.co/legraphista/xLAM-7b-r-IMat-GGUF/blob/main/xLAM-7b-r.Q3_K.gguf) | Q3_K | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No
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