Update README.md

README.md

@@ -20,7 +20,7 @@ Or you can view more detailed instructions here: [unsloth.ai/blog/deepseek-r1](h
 2. Example with K & V quantized cache **Notice -no-cnv disables auto conversation mode**
    ```bash
    ./llama.cpp/llama-cli \
-       --model unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q2_K_L.gguf \
+       --model unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q4_K_M.gguf \
        --cache-type-k q8_0 \
        --cache-type-v q8_0 \
        --threads 16 \
@@ -40,7 +40,7 @@ Or you can view more detailed instructions here: [unsloth.ai/blog/deepseek-r1](h
 4. If you have a GPU (RTX 4090 for example) with 24GB, you can offload multiple layers to the GPU for faster processing. If you have multiple GPUs, you can probably offload more layers.
    ```bash
    ./llama.cpp/llama-cli \
-   --model unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q2_K_L.gguf
+   --model unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF/DeepSeek-R1-Distill-Llama-8B-Q4_K_M.gguf
    --cache-type-k q8_0 
    --cache-type-v q8_0 
    --threads 16