Update README.md

README.md

@@ -38,7 +38,7 @@ cd GGUF-Tool-Suite
 rm -f download.conf # Make sure to copy the relevant download.conf for the model before running quant_assign.py
 cp -f models/DeepSeek-R1-0528/download.conf . # Use the download.conf of the chosen model
 mkdir -p kitchen && cd kitchen
-../quant_downloader.sh ../recipe_examples/ik_llama.cpp_recipes/DeepSeek-R1-0528.THIREUS-1.9364bpw-4.3533ppl.151GB-GGUF_11GB-GPU_140GB-CPU.3c88ec6_9fd615d.recipe
+../quant_downloader.sh ../recipe_examples/ik_harmonized_recipes/DeepSeek-R1-0528.ROOT-2.7921bpw-3.4451ppl.218GB-GGUF_14GB-GPU_204GB-CPU.90e3c2f_6f5170d.recipe
 
 # Other recipe examples can be found at https://github.com/Thireus/GGUF-Tool-Suite/tree/main/recipe_examples
 
@@ -76,6 +76,8 @@ Here’s how DeepSeek-R1-0528 quantized with **Thireus’ GGUF Tool Suite** stac
 
 More perplexity/bpw graphs for other supported models: https://github.com/Thireus/GGUF-Tool-Suite/tree/main/ppl_graphs  
 
+*All PPL values are computed with the parameters `-ctk f16 -c 512 -b 4096 -ub 4096`. Changing any of these parameters will alter the PPL. In particular, reducing `-b 4096 -ub 4096` increases the PPL, while increasing them decreases the PPL.*
+
 ---
 
 ## 🚀 How do I get started?