diff --git a/.gitignore b/.gitignore
index d1d3c594..c49f495e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,3 +2,5 @@
 
 # Spelling
 dictionary.dic
+
+venv
diff --git a/.spellcheck-en-custom.txt b/.spellcheck-en-custom.txt
index 4ebd275a..cd8247a9 100644
--- a/.spellcheck-en-custom.txt
+++ b/.spellcheck-en-custom.txt
@@ -37,14 +37,17 @@ Eval
 Excalidraw
 exfiltrate
 exfiltrating
+Eyceoz
 Finetuning
 formedness
+Gaudi
 GFX
 GGUF
 GGUFs
 GiB
 Gmail
 gpu
+Habana
 hipBLAS
 ilab
 impactful
@@ -58,6 +61,7 @@ Kaggle
 Kaggle's
 Kai
 Kubernetes
+Kunstle
 lignment
 LLM
 llms
@@ -72,8 +76,12 @@ Miniforge
 Mixtral
 MLX
 mlx
+MPS
+Mustafa
+NCCL
 NVidia
 Nvidia
+Oleg
 ollama
 Ollama
 orchestrator
@@ -98,6 +106,7 @@ RDNA
 README
 rebase
 repo
+repos
 ROCm
 RTX
 RX
@@ -110,6 +119,7 @@ sexualized
 SHA
 Shivchander
 Signoff
+Silkin
 Srivastava
 subdirectory
 Sudalairaj
diff --git a/docs/training/training-repo.md b/docs/training/training-repo.md
new file mode 100644
index 00000000..f831ed53
--- /dev/null
+++ b/docs/training/training-repo.md
@@ -0,0 +1,77 @@
+# Modify Repository Proposal: Training
+
+## Summary
+
+This document proposes taking the existing [instructlab/training](https://github.com/instructlab/training) and transforming it into a library that will be consumed
+by other clients such as the CLI and what is currently the `main_ds.py` file
+that launches a full fine-tune.
+
+## Background
+
+Today, we have training implemented for different use-cases
+existing in different repos. LoRA/QLoRA training currently lives
+in the [`instructlab`](https://github.com/instructlab/instructlab)
+CLI repo and contains logic for both Linux and MacOS training.
+Each of these then brings additional logic for platform-specific accelerators.
+For example NVIDIA CUDA and Intel Habana on Linux, and MLX and MPS on MacOS.
+
+On the other hand, we have logic that exists today for full fine-tuning
+in the [instructlab/training](https://github.com/instructlab/training) repo. Today, this implementation is CUDA-specific
+as it relies on NCCL for handling communication across various
+NVIDIA GPUs.
+We want to bring support for alternative accelerators such as Intel Gaudi to this repo as well, without rewriting much of the logic.
+
+We need to have a library which provides a common interface
+for training, allowing all of the hard logic to be concentrated
+in a single point.
+
+The [instructlab/training](https://github.com/instructlab/training) repo should then
+become the home for the overall training library.
+
+This library will then contain a "simple" interface for all
+other clients to pull from and use without much needing to change
+on their side other than how they intend to use it.
+
+## Maintainers
+
+The maintainers should be the folks who currently work on training.
+Namely:
+
+- [Aldo Pareja](https://github.com/aldopareja)
+- [James Kunstle](https://github.com/orgs/instructlab/people/JamesKunstle)
+- [Oleg Silkin](https://github.com/orgs/instructlab/people/RobotSail)
+- [Mustafa Eyceoz](https://github.com/orgs/instructlab/people/Maxusmusti)
+
+We can also blanket access by setting it to the `Backend Maintainers` GitHub team.
+
+## Alternatives Considered
+
+### Keep everything separate
+
+Rather than consolidating the logic, we can keep the existing
+logic as-is.
+
+This would mean that the [CLI repo](https://github.com/instructlab/instructlab) and the [training repo](https://github.com/instructlab/training) would both maintain their own implementations of training.
+
+This means that if extra logic must be added for Intel Gaudi or NVIDIA, it would need to be added and tested in two different places.
+
+Since we need to move the full training to live inside of the the
+[CLI repo](https://githhub.com/instructlab/instructlab),
+this would now have two duplicate implementations of the
+full fine-tune training and add additional points of complications.
+
+### Move everything into one repo but don't design an interface
+
+We can move the existing training logic into the training repo
+and simply have the existing clients consume it this way.
+
+The challenge here is that a lot of the logic is very specific
+to the client application, so there would be cross-development.
+
+If someone wants to create a new PR to the CLI repo for a change
+they're making to the LoRA training, they'd need to create
+another PR into the training repo and maintain two PRs at once.
+When a maintainer requests a change in one PR, both would need to be updated to accommodate each other.
+
+The challenges this presents to both the developers and maintainers
+is clear. Therefore a natural conclusion is that we need a separate library that provides an extensible interface for other clients to consume.
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