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README.md
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@@ -43,18 +43,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [sn29_v31-Q2_K.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q2_K.gguf) | Q2_K |
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| [sn29_v31-Q3_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_S.gguf) | Q3_K_S | 2.
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| [sn29_v31-Q3_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_M.gguf) | Q3_K_M | 2.
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| [sn29_v31-Q3_K_L.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_L.gguf) | Q3_K_L |
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| [sn29_v31-Q4_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_0.gguf) | Q4_0 |
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| [sn29_v31-Q4_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_K_S.gguf) | Q4_K_S |
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| [sn29_v31-Q4_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_K_M.gguf) | Q4_K_M | 3.
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| [sn29_v31-Q5_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_0.gguf) | Q5_0 | 3.
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| [sn29_v31-Q5_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_K_S.gguf) | Q5_K_S | 3.
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| [sn29_v31-Q5_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_K_M.gguf) | Q5_K_M |
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| [sn29_v31-Q6_K.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q6_K.gguf) | Q6_K | 4.
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| [sn29_v31-Q8_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q8_0.gguf) | Q8_0 | 5.
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## Downloading instruction
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [sn29_v31-Q2_K.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q2_K.gguf) | Q2_K | 1.925 GB | smallest, significant quality loss - not recommended for most purposes |
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| [sn29_v31-Q3_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_S.gguf) | Q3_K_S | 2.292 GB | very small, high quality loss |
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| [sn29_v31-Q3_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_M.gguf) | Q3_K_M | 2.674 GB | very small, high quality loss |
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| [sn29_v31-Q3_K_L.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q3_K_L.gguf) | Q3_K_L | 2.859 GB | small, substantial quality loss |
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| [sn29_v31-Q4_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_0.gguf) | Q4_0 | 2.976 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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| [sn29_v31-Q4_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_K_S.gguf) | Q4_K_S | 2.994 GB | small, greater quality loss |
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| [sn29_v31-Q4_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q4_K_M.gguf) | Q4_K_M | 3.280 GB | medium, balanced quality - recommended |
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| [sn29_v31-Q5_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_0.gguf) | Q5_0 | 3.621 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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| [sn29_v31-Q5_K_S.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_K_S.gguf) | Q5_K_S | 3.621 GB | large, low quality loss - recommended |
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| [sn29_v31-Q5_K_M.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q5_K_M.gguf) | Q5_K_M | 3.863 GB | large, very low quality loss - recommended |
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| [sn29_v31-Q6_K.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q6_K.gguf) | Q6_K | 4.305 GB | very large, extremely low quality loss |
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| [sn29_v31-Q8_0.gguf](https://huggingface.co/tensorblock/sn29_v31-GGUF/blob/main/sn29_v31-Q8_0.gguf) | Q8_0 | 5.576 GB | very large, extremely low quality loss - not recommended |
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## Downloading instruction
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