correct source data attribution

README.md

@@ -19,7 +19,7 @@ quantized_by: CISC
 
 This repo contains State Of The Art quantized GGUF format model files for [Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407).
 
-Quantization was done with an importance matrix that was trained for ~1M tokens (256 batches of 4096 tokens) of [groups_merged.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) and [wiki.train.raw](https://raw.githubusercontent.com/pytorch/examples/main/word_language_model/data/wikitext-2/train.txt) concatenated.
+Quantization was done with an importance matrix that was trained for ~1M tokens (256 batches of 4096 tokens) of [groups_merged-enhancedV3.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) and [wiki.train.raw](https://raw.githubusercontent.com/pytorch/examples/main/word_language_model/data/wikitext-2/train.txt) concatenated.
 
 The embedded chat template is the updated one with correct Tekken tokenization and function calling support via OpenAI-compatible `tools` parameter, see [example](#simple-llama-cpp-python-example-function-calling-code).