Update README.md

README.md

@@ -16,12 +16,11 @@ tags:
 
 ### Instructions to run this model in llama.cpp:
 Or you can view more detailed instructions here: [unsloth.ai/blog/deepseek-r1](https://unsloth.ai/blog/deepseek-r1)
-1. Use K quantization (not V quantization)
-2. Do not forget about `<｜User｜>` and `<｜Assistant｜>` tokens! - Or use a chat template formatter
-3. Example with Q5_0 K quantized cache (V quantized cache doesn't work):
+1. Do not forget about `<｜User｜>` and `<｜Assistant｜>` tokens! - Or use a chat template formatter
+2. Example with Q5_0 K quantized cache (V quantized cache doesn't work):
    ```bash
    ./llama.cpp/llama-cli
-   --model unsloth/DeepSeek-V3-GGUF/DeepSeek-R1-Distill-Llama-8B-Q2_K_XS/DeepSeek-R1-Distill-Llama-8B-Q2_K_XS-00001-of-00005.gguf
+   --model unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q2_K_XS/DeepSeek-R1-Distill-Llama-8B-Q2_K_XS-00001-of-00005.gguf
    --cache-type-k q5_0
    --threads 16 
    --prompt '<｜User｜>What is 1+1?<｜Assistant｜>'
@@ -36,7 +35,7 @@ Or you can view more detailed instructions here: [unsloth.ai/blog/deepseek-r1](h
 
     So, **1 + 1 = 2**. [end of text]
     ```
-4. If you have a GPU (RTX 4090 for example) with 24GB, you can offload 5 layers to the GPU for faster processing. If you have multiple GPUs, you can probably offload more layers.
+3. If you have a GPU (RTX 4090 for example) with 24GB, you can offload 5 layers to the GPU for faster processing. If you have multiple GPUs, you can probably offload more layers.
    ```bash
     /llama.cpp/llama-cli \
     --model DeepSeek-R1-Distill-Llama-8B-F16.gguf\