README.adoc

@@ -8,6 +8,9 @@ These are the docs:
 * link:docs/GETTING_RUNNING.adoc[Getting Running]: how to set up your Conda environments so you can start playing
 * link:docs/JUPYTERLAB.adoc[JupyterLab]: modify your base Conda env to run JupyterLab and easily execute notebooks in other envs
 
+For fun:
+* link:docs/INSTRUCTLAB.adoc[InstructLab]: how to play with HuggingFace models from InstructLab
+
 == Magic Time ==
 
 https://www.kaggle.com/datasets/yasserh/wine-quality-dataset[Wine Quality Dataset] is a versatile dataset that can be used both as a classification or a regression data set.

docs/INSTRUCTLAB.adoc

@@ -174,6 +174,11 @@ Successfully installed vllm-0.8.5.dev3+g7cbfc1094.d20250414
 (ilab-25) $ *rm -rf ./vllm/*
 ----
 
+References:
+
+* https://github.com/triton-lang/triton[Triton Development Repository]
+* https://docs.vllm.ai/en/stable/getting_started/installation/cpu.html?device=apple[Building vLLM for Apple Silicon]
+
 === Converting Models to GGUF ===
 
 You can use https://github.com/ggerganov/llama.cpp.git[`llama.cpp`] to convert models from HF, GGML, and LORA model formats to GGUF, which InstructLab can serve even on a Mac.