Update README.md

README.md

@@ -77,3 +77,27 @@ cd llama.cpp && cmake -B build && cmake --build build -j
 > contract this draft model needs, and upstream PR
 > [ggml-org/llama.cpp#25165](https://github.com/ggml-org/llama.cpp/pull/25165)
 > covers the target architecture only.
+
+### Production experience
+I ran the i-quality version of this on my dgx-spark with a llama.cpp backend and a nice large context and 
+hooked it up to Opencode.  I had it read the source of a moderately complex (19M of text) golang project I've 
+been working on.  It took a while to read and summarize the entire project into context.  I'd say it meandered 
+a little bit as I watched the reasoning process, but it inferred some pretty subtle details.
+
+I then gave it a task to create a pair of systemd --user unit files for a pair of new models I had generated. 
+It needed to create the files in the proper format to be discovered by my parser, which was buried in the code. 
+It had to decide proper context sizes and model tuning parameters based on the model size and my available 
+system parameters.  It figured out my system architecture autonomously, including the unified memory and cuda
+architecture.  It made educated guesses about the drafter settings (and got them right).  
+
+It determined that naming conventions and picked sane defaults for both models.  It crafted and placed the 
+two units, ran the proper system tools to reread the units, ran the systemd verify command to check that the 
+format was correctly parsed by systemd.
+
+It then wrote a little parser to double-check that the systemd units it had written parsed correctly and fixed
+a bug it found in its parsing string.  Once all that was done, it summarized all this for me and reported success.
+If anything I would have preferred it asked for more clarification, but it completed the entire task autonomously.  
+Everything worked on the first try.  
+
+This is a capable large-context model natively trained to 1M tokens of context.  I think this is the model I'll 
+use when I want to do something hard on my local machine that the fast little models get stuck.