Files
axolotl/docs/custom_integrations.qmd
Rahul Tuli 996fc124e5 Add: Sparse Finetuning Integration with llmcompressor (#2479)
* Add: SFTPlugin with llmcompressor

* Update: review comments!

* Add:llmcompressor instalable

* pre commit hooks

* Use: warning over warn

* Revert: TODO's

* Update llmcompressor version to latest

* Apply suggestions from @markurtz

Co-authored-by: Mark Kurtz <mark.j.kurtz@gmail.com>

* Address review comments from @markurtz

* Add: llcompressor installable

* Rename: sft.yaml to sparse-finetuning.yaml

* Use: absolute import

* Update model config

* Move: LLMCompressorPlugin into it's own submodule

* Add: `llm_compressor` integration documentation

* Rebase and updates!

* Tests, Style, Updates

* Add: .qmd file

* Address Review Comments:
* deleted redundant docs/llm_compressor.qmd
* incorporated feedback in integration README.md
* added llmcompressor integration to docs/custom_integrations.qmd

Signed-off-by: Rahul Tuli <rtuli@redhat.com>

* Add: line about further optimizations using llmcompressor

Signed-off-by: Rahul Tuli <rtuli@redhat.com>

* Apply patch from @winglian

Signed-off-by: Rahul Tuli <rtuli@redhat.com>

* Fix: Test

Signed-off-by: Rahul Tuli <rtuli@redhat.com>

* additional fixes for docker and saving compressed

* split llmcompressor from vllm checks

* Reset session between tests

Signed-off-by: Rahul Tuli <rtuli@redhat.com>

* move decorator to test method instead of class

* make sure to reset the session after each test

* move import of llmcompressor to reset session inside test

---------

Signed-off-by: Rahul Tuli <rtuli@redhat.com>
Co-authored-by: Mark Kurtz <mark.j.kurtz@gmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-05-01 12:25:16 -04:00

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---
title: Custom Integrations
toc: true
toc-depth: 3
---
```{python}
#| echo: false
import re
def process_readme(integration_name):
try:
path = f'../src/axolotl/integrations/{integration_name}/README.md'
with open(path, 'r') as f:
txt = f.read()
# Remove h1 headings
txt = re.sub(r'^# .*\n?', '', txt, flags=re.MULTILINE)
# Convert h2 to h3
txt = re.sub(r'^## ', '### ', txt, flags=re.MULTILINE)
return txt
except FileNotFoundError:
return None
def print_section(name, folder_name):
output = f"\n## {name}\n"
content = process_readme(folder_name)
if content:
output += content
output += f"\nPlease see reference [here](https://github.com/axolotl-ai-cloud/axolotl/tree/main/src/axolotl/integrations/{folder_name})\n"
return output
```
```{python}
#| output: asis
#| echo: false
# Introduction text
print("""
Axolotl adds custom features through `integrations`. They are located within the `src/axolotl/integrations` directory.
To enable them, please check the respective documentations.
""")
# Sections
sections = [
("Cut Cross Entropy", "cut_cross_entropy"),
("Grokfast", "grokfast"),
("Knowledge Distillation (KD)", "kd"),
("Liger Kernels", "liger"),
("Language Model Evaluation Harness (LM Eval)", "lm_eval"),
("Spectrum", "spectrum"),
("LLMCompressor", "llm_compressor")
]
for section_name, folder_name in sections:
print(print_section(section_name, folder_name))
```
## Adding a new integration
Plugins can be used to customize the behavior of the training pipeline through [hooks](https://en.wikipedia.org/wiki/Hooking). See [`axolotl.integrations.BasePlugin`](https://github.com/axolotl-ai-cloud/axolotl/blob/main/src/axolotl/integrations/base.py) for the possible hooks.
To add a new integration, please follow these steps:
1. Create a new folder in the `src/axolotl/integrations` directory.
2. Add any relevant files (`LICENSE`, `README.md`, `ACKNOWLEDGEMENTS.md`, etc.) to the new folder.
3. Add `__init__.py` and `args.py` files to the new folder.
- `__init__.py` should import the integration and hook into the appropriate functions.
- `args.py` should define the arguments for the integration.
4. (If applicable) Add CPU tests under `tests/integrations` or GPU tests under `tests/e2e/integrations`.
::: {.callout-tip}
See [src/axolotl/integrations/cut_cross_entropy](https://github.com/axolotl-ai-cloud/axolotl/tree/main/src/axolotl/integrations/cut_cross_entropy) for a minimal integration example.
:::
::: {.callout-warning}
If you could not load your integration, please ensure you are pip installing in editable mode.
```bash
pip install -e .
```
and correctly spelled the integration name in the config file.
```yaml
plugins:
- axolotl.integrations.your_integration_name.YourIntegrationPlugin
```
:::
::: {.callout-note}
It is not necessary to place your integration in the `integrations` folder. It can be in any location, so long as it's installed in a package in your python env.
See this repo for an example: [https://github.com/axolotl-ai-cloud/diff-transformer](https://github.com/axolotl-ai-cloud/diff-transformer)
:::