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update notebook

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Botao Chen 2025-02-26 13:18:40 -08:00
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docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb
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@ -3,6 +3,8 @@
{
"cell_type": "markdown",
"source": [
"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/notebooks/Alpha_Llama_Stack_Post_Training.ipynb)\n",
"\n",
"# [Alpha] Llama Stack Post Training\n",
"This notebook will use a real world problem (improve LLM as tax preparer) to walk through the main sets of APIs we offer with Llama stack for post training to improve the LLM performance for agentic apps (We support supervised finetune now, RLHF and knowledge distillation will come soon!).\n",
"\n",
@ -64,7 +66,7 @@
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting git+https://github.com/meta-llama/llama-stack.git@hf_format_checkpointer\n",
"Collecting git+https://github.com/meta-llama/llama-stack.git\n",
" Cloning https://github.com/meta-llama/llama-stack.git (to revision hf_format_checkpointer) to /tmp/pip-req-build-j_1bxqzm\n",
" Running command git clone --filter=blob:none --quiet https://github.com/meta-llama/llama-stack.git /tmp/pip-req-build-j_1bxqzm\n",
" Running command git checkout -b hf_format_checkpointer --track origin/hf_format_checkpointer\n",