Update README.md

README.md

@@ -16,7 +16,7 @@ base_model: google/gemma-2-9b-it
 - quants done with an importance matrix for improved quantization loss
 - Currently requantizing ggufs & imatrix from bf16 for "optimal" accuracy loss
   - initial version was based on f32 gguf provided by google
-  - WIP new version should have better metadata as its quantized from scratch with llama.cpp
+  - WIP new version should have better metadata as its quantized from hf safetensors with llama.cpp
 - Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S
   - experimental custom quant types
     - `_L` with `--output-tensor-type f16 --token-embedding-type f16` (same as bartowski's)