Initial GGUF model commit

README.md

@@ -99,17 +99,17 @@ Refer to the Provided Files table below to see what files use which methods, and
 
 | Name | Quant method | Bits | Size | Max RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
-| puddlejumper-13b.q2_K.gguf | q2_K | 2 | 5.66 GB| 8.16 GB | smallest, significant quality loss - not recommended for most purposes |
-| puddlejumper-13b.q3_K_L.gguf | q3_K_L | 3 | 7.14 GB| 9.64 GB | small, substantial quality loss |
-| puddlejumper-13b.q3_K_M.gguf | q3_K_M | 3 | 6.55 GB| 9.05 GB | very small, high quality loss |
-| puddlejumper-13b.q3_K_S.gguf | q3_K_S | 3 | 5.87 GB| 8.37 GB | very small, high quality loss |
-| puddlejumper-13b.q4_K_M.gguf | q4_K_M | 4 | 8.06 GB| 10.56 GB | medium, balanced quality - recommended |
-| puddlejumper-13b.q4_K_S.gguf | q4_K_S | 4 | 7.61 GB| 10.11 GB | small, greater quality loss |
-| puddlejumper-13b.q5_0.gguf | q5_0 | 5 | 8.95 GB| 11.45 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
-| puddlejumper-13b.q5_K_M.gguf | q5_K_M | 5 | 9.40 GB| 11.90 GB | large, very low quality loss - recommended |
-| puddlejumper-13b.q5_K_S.gguf | q5_K_S | 5 | 9.15 GB| 11.65 GB | large, low quality loss - recommended |
-| puddlejumper-13b.q6_K.gguf | q6_K | 6 | 10.83 GB| 13.33 GB | very large, extremely low quality loss |
-| puddlejumper-13b.q8_0.gguf | q8_0 | 8 | 13.83 GB| 16.33 GB | very large, extremely low quality loss - not recommended |
+| [puddlejumper-13b.q2_K.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q2_K.gguf) | q2_K | 2 | 5.66 GB| 8.16 GB | smallest, significant quality loss - not recommended for most purposes |
+| [puddlejumper-13b.q3_K_L.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q3_K_L.gguf) | q3_K_L | 3 | 7.14 GB| 9.64 GB | small, substantial quality loss |
+| [puddlejumper-13b.q3_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q3_K_M.gguf) | q3_K_M | 3 | 6.55 GB| 9.05 GB | very small, high quality loss |
+| [puddlejumper-13b.q3_K_S.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q3_K_S.gguf) | q3_K_S | 3 | 5.87 GB| 8.37 GB | very small, high quality loss |
+| [puddlejumper-13b.q4_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q4_K_M.gguf) | q4_K_M | 4 | 8.06 GB| 10.56 GB | medium, balanced quality - recommended |
+| [puddlejumper-13b.q4_K_S.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q4_K_S.gguf) | q4_K_S | 4 | 7.61 GB| 10.11 GB | small, greater quality loss |
+| [puddlejumper-13b.q5_0.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q5_0.gguf) | q5_0 | 5 | 8.95 GB| 11.45 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [puddlejumper-13b.q5_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q5_K_M.gguf) | q5_K_M | 5 | 9.40 GB| 11.90 GB | large, very low quality loss - recommended |
+| [puddlejumper-13b.q5_K_S.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q5_K_S.gguf) | q5_K_S | 5 | 9.15 GB| 11.65 GB | large, low quality loss - recommended |
+| [puddlejumper-13b.q6_K.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q6_K.gguf) | q6_K | 6 | 10.83 GB| 13.33 GB | very large, extremely low quality loss |
+| [puddlejumper-13b.q8_0.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.q8_0.gguf) | q8_0 | 8 | 13.83 GB| 16.33 GB | very large, extremely low quality loss - not recommended |
 
 **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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