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Llama-Guard-3-8B-IMat-GGUF

Text Generation
GGUF
PyTorch
English
facebook
meta
llama
llama-3
quantized
GGUF
quantization
imat
imatrix
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
conversational
Model card Files
xet
Community
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  1. README.md +2 -2
README.md CHANGED
@@ -235,7 +235,7 @@ Link: [here](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/
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  | [Llama-Guard-3-8B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
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  | [Llama-Guard-3-8B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
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  | [Llama-Guard-3-8B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
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- | Llama-Guard-3-8B.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
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  ### All Quants
@@ -258,7 +258,7 @@ Link: [here](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/
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  | Llama-Guard-3-8B.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
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- | Llama-Guard-3-8B.Q2_K | Q2_K | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
 
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  | [Llama-Guard-3-8B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
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  | [Llama-Guard-3-8B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
237
  | [Llama-Guard-3-8B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
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+ | [Llama-Guard-3-8B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
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240
 
241
  ### All Quants
 
258
  | Llama-Guard-3-8B.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
259
  | Llama-Guard-3-8B.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
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  | Llama-Guard-3-8B.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
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+ | [Llama-Guard-3-8B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-8B-IMat-GGUF/blob/main/Llama-Guard-3-8B.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
262
  | Llama-Guard-3-8B.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 IMatrix | -
263
  | Llama-Guard-3-8B.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
264
  | Llama-Guard-3-8B.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -