Upload README.md

README.md

@@ -105,28 +105,17 @@ Refer to the Provided Files table below to see what files use which methods, and
 | ---- | ---- | ---- | ---- | ---- | ----- |
 | [puddlejumper-13b.Q2_K.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q2_K.gguf) | Q2_K | 2 | 5.43 GB| 7.93 GB | smallest, significant quality loss - not recommended for most purposes |
 | [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 | 5.66 GB| 8.16 GB | very small, high quality loss |
-| [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_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.Q3_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q3_K_M.gguf) | Q3_K_M | 3 | 6.34 GB| 8.84 GB | very small, high 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_L.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q3_K_L.gguf) | Q3_K_L | 3 | 6.93 GB| 9.43 GB | small, substantial quality loss |
-| [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.Q4_0.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q4_0.gguf) | Q4_0 | 4 | 7.37 GB| 9.87 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
 | [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 | 7.41 GB| 9.91 GB | small, greater quality loss |
-| [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.Q4_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q4_K_M.gguf) | Q4_K_M | 4 | 7.87 GB| 10.37 GB | medium, balanced quality - recommended |
-| [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_1.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q4_1.gguf) | Q4_1 | 4 | 8.17 GB| 10.67 GB | legacy; small, substantial quality loss - lprefer using Q3_K_L |
-| [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_0.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q5_0.gguf) | Q5_0 | 5 | 8.97 GB| 11.47 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
 | [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 | 8.97 GB| 11.47 GB | large, 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.Q5_K_M.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q5_K_M.gguf) | Q5_K_M | 5 | 9.23 GB| 11.73 GB | large, very low quality loss - recommended |
-| [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_1.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q5_1.gguf) | Q5_1 | 5 | 9.78 GB| 12.28 GB | legacy; medium, low quality loss - prefer using Q5_K_M |
 | [puddlejumper-13b.Q6_K.gguf](https://huggingface.co/TheBloke/PuddleJumper-13B-GGUF/blob/main/puddlejumper-13b.Q6_K.gguf) | Q6_K | 6 | 10.68 GB| 13.18 GB | very large, extremely low quality loss |
-| [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 |
 | [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.
@@ -184,7 +173,7 @@ CT_METAL=1 pip install ctransformers>=0.2.24 --no-binary ctransformers
 from ctransformers import AutoModelForCausalLM
 
 # Set gpu_layers to the number of layers to offload to GPU. Set to 0 if no GPU acceleration is available on your system.
-llm = AutoModelForCausalLM.from_pretrained("TheBloke/PuddleJumper-13B-GGML", model_file="puddlejumper-13b.q4_K_M.gguf", model_type="llama", gpu_layers=50)
+llm = AutoModelForCausalLM.from_pretrained("TheBloke/PuddleJumper-13B-GGUF", model_file="puddlejumper-13b.q4_K_M.gguf", model_type="llama", gpu_layers=50)
 
 print(llm("AI is going to"))
 ```