Update README.md

README.md

@@ -30,12 +30,12 @@ cd deepseek-ai/DeepSeek-V3/inference
 python fp8_cast_bf16.py --input-fp8-hf-path /home/admin/models/deepseek-ai/DeepSeek-R1-0528/ --output-bf16-hf-path /home/admin/models/deepseek-ai/DeepSeek-R1-0528-bf16
 ```
 ## BF16 to f16.gguf
-1. Use the [llama.cpp](https://github.com/ggerganov/llama.cpp) conversion program to convert DeepSeek-R1-0528-bf16 to gguf format, requires an additional approximately 1.3 TB of space.
+1. Use the [llama.cpp](https://github.com/ggml-org/llama.cpp) conversion program to convert DeepSeek-R1-0528-bf16 to gguf format, requires an additional approximately 1.3 TB of space.
 ```
 python convert_hf_to_gguf.py /home/admin/models/deepseek-ai/DeepSeek-R1-0528-bf16 --outfile /home/admin/models/deepseek-ai/DeepSeek-R1-0528-bf16/ggml-model-f16.gguf --outtype f16
 ```
-2. Use the [llama.cpp](https://github.com/ggerganov/llama.cpp) quantitative program to quantitative model (llama-quantize needs to be compiled.),
-other [quant option](https://github.com/ggerganov/llama.cpp/blob/master/examples/quantize/quantize.cpp). 
+2. Use the [llama.cpp](https://github.com/ggml-org/llama.cpp) quantitative program to quantitative model (llama-quantize needs to be compiled.),
+other [quant option](https://github.com/ggml-org/llama.cpp/blob/master/tools/quantize/quantize.cpp). 
 Convert first Q2_K, requires an additional approximately 227 GB of space.
 ```
 llama-quantize /home/admin/models/deepseek-ai/DeepSeek-R1-0528-bf16/ggml-model-f16.gguf  /home/admin/models/deepseek-ai/DeepSeek-R1-0528-bf16/ggml-model-Q2_K.gguf Q2_K