Update README.md

README.md

@@ -173,7 +173,7 @@ Scores generated using [llama-bench][bch]. Naive (`llama-quantize` with no optim
 **[Winogrande][wng]:** based on the [Winograd Schema Challenge][wng-chl], is a natural language understanding task requiring models to resolve ambiguities in sentences involving pronoun references.
 
 ## Credits
-A big **Thank You!** to [Colin Kealty][btk] for the many contributions and for being one of the best sources of high quality quantized models available on Hugging Face, and a really big ***Thank You!*** to [Georgi Gerganov][ggg] for his amazing work with **llama.cpp** and the **ggml/gguf** libraries.
+[LLaMa C++][llm] has a large and vibrant community of [contributors][llm-ctt] (~1,200 last time I checked) that actively maintain and extend its functionality, adding new models and architectures almost as fast as they appear (considering the breakneck speed at which the AI/ML field is advancing, this alone is a remarkable feat!), and whilst I'm grateful to each and everyone of them, I want to recognise three people in particular: **Thank You!** [Colin Kealty][btk] for the many contributions and for being one of the best sources of high quality quantized models available on Hugging Face, and a really big ***Thank You!*** to [Georgi Gerganov][ggg] for his amazing work with **llama.cpp** and the **ggml/gguf** libraries, and [Iwan Kawrakow][ikk] for being one of the key authors behind the many quantisation algorithms and the imatrix functionality.
 
 [arc]:      https://leaderboard.allenai.org/arc/submissions/get-started
 [btk]:      https://huggingface.co/bartowski
@@ -189,6 +189,7 @@ A big **Thank You!** to [Colin Kealty][btk] for the many contributions and for b
 [gh-prn]:   https://github.com/EAddario/llama.cpp/tree/prune
 [hsw]:      https://rowanzellers.com/hellaswag
 [hsw-tst]:  https://github.com/klosax/hellaswag_text_data
+[ikk]:      https://github.com/ikawrakow
 [imx-dat]:  https://huggingface.co/eaddario/Qwen3-30B-A3B-pruned-pruned-GGUF/tree/main/imatrix
 [imx]:      https://github.com/ggml-org/llama.cpp/tree/master/tools/imatrix
 [imtx-pr]:  https://github.com/ggml-org/llama.cpp/pull/12718
@@ -196,6 +197,7 @@ A big **Thank You!** to [Colin Kealty][btk] for the many contributions and for b
 [llm]:      https://github.com/ggerganov/llama.cpp
 [llm-rel]:  https://github.com/ggml-org/llama.cpp/releases/tag/b5580
 [lgt]:      https://huggingface.co/eaddario/Qwen3-30B-A3B-pruned-pruned-GGUF/tree/main/logits
+[llm-ctt]:  https://github.com/ggml-org/llama.cpp/graphs/contributors
 [lwq-lim]:  https://arxiv.org/html/2403.03853v3#S3
 [lwq-ppr]:  https://arxiv.org/abs/2406.17415
 [mdm]:      https://medium.com/@eaddario/squeezing-tensor-bits-the-quest-for-smaller-llms-86b23bd052ca