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README.md

@@ -142,7 +142,7 @@ The following clients/libraries will automatically download models for you, prov
 
 ### In `text-generation-webui`
 
-Under Download Model, you can enter the model repo: TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF and below it, a specific filename to download, such as: WizardLM-Uncensored-SuperCOT-Storytelling.q4_K_M.gguf.
+Under Download Model, you can enter the model repo: TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF and below it, a specific filename to download, such as: WizardLM-Uncensored-SuperCOT-Storytelling.Q4_K_M.gguf.
 
 Then click Download.
 
@@ -151,13 +151,13 @@ Then click Download.
 I recommend using the `huggingface-hub` Python library:
 
 ```shell
-pip3 install huggingface-hub>=0.17.1
+pip3 install huggingface-hub
 ```
 
 Then you can download any individual model file to the current directory, at high speed, with a command like this:
 
 ```shell
-huggingface-cli download TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF WizardLM-Uncensored-SuperCOT-Storytelling.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
+huggingface-cli download TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF WizardLM-Uncensored-SuperCOT-Storytelling.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 <details>
@@ -180,7 +180,7 @@ pip3 install hf_transfer
 And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
 
 ```shell
-HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF WizardLM-Uncensored-SuperCOT-Storytelling.q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
+HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF WizardLM-Uncensored-SuperCOT-Storytelling.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 Windows CLI users: Use `set HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1` before running the download command.
@@ -193,7 +193,7 @@ Windows CLI users: Use `set HUGGINGFACE_HUB_ENABLE_HF_TRANSFER=1` before running
 Make sure you are using `llama.cpp` from commit [d0cee0d36d5be95a0d9088b674dbb27354107221](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
 
 ```shell
-./main -ngl 32 -m WizardLM-Uncensored-SuperCOT-Storytelling.q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "You are a helpful AI assistant.\n\nUSER: {prompt}\nASSISTANT:"
+./main -ngl 32 -m WizardLM-Uncensored-SuperCOT-Storytelling.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "You are a helpful AI assistant.\n\nUSER: {prompt}\nASSISTANT:"
 ```
 
 Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
@@ -233,7 +233,7 @@ 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/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF", model_file="WizardLM-Uncensored-SuperCOT-Storytelling.q4_K_M.gguf", model_type="llama", gpu_layers=50)
+llm = AutoModelForCausalLM.from_pretrained("TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GGUF", model_file="WizardLM-Uncensored-SuperCOT-Storytelling.Q4_K_M.gguf", model_type="llama", gpu_layers=50)
 
 print(llm("AI is going to"))
 ```