Update README.md

README.md

@@ -82,7 +82,7 @@ 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 Ichsan2895/Merak-7B-v3-GGUF Merak-7B-v3.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
+huggingface-cli download Ichsan2895/Merak-7B-v3-GGUF Merak-7B-v3-model-q5_k_m.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 <details>
@@ -105,7 +105,7 @@ pip3 install hf_transfer
 And set environment variable `HF_HUB_ENABLE_HF_TRANSFER` to `1`:
 
 ```shell
-HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download Ichsan2895/Merak-7B-v3-GGUF Merak-7B-v3.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
+HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download Ichsan2895/Merak-7B-v3-GGUF Merak-7B-v3-model-q5_k_m.gguf --local-dir . --local-dir-use-symlinks False
 ```
 
 Windows Command Line users: You can set the environment variable by running `set HF_HUB_ENABLE_HF_TRANSFER=1` before the download command.
@@ -118,7 +118,7 @@ Windows Command Line users: You can set the environment variable by running `set
 Make sure you are using `llama.cpp` from commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
 
 ```shell
-./main -ngl 32 -m Merak-7B-v3.Q4_K_M.gguf --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
+./main -ngl 32 -m Merak-7B-v3-model-q5_k_m.gguf --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant"
 ```
 
 Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
@@ -160,7 +160,7 @@ CT_METAL=1 pip install ctransformers --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("Ichsan2895/Merak-7B-v3-GGUF", model_file="Merak-7B-v3-model-q4_k_m.gguf", model_type="mistral", gpu_layers=50)
+llm = AutoModelForCausalLM.from_pretrained("Ichsan2895/Merak-7B-v3-GGUF", model_file="Merak-7B-v3-model-q5_k_m.gguf", model_type="mistral", gpu_layers=50)
 
 print(llm("AI is going to"))
 ```