Add: llm_compressor integration documentation

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Rahul Tuli
2025-04-09 01:03:45 +00:00
committed by Wing Lian
parent db31d7ad22
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# LLMCompressor Integration
Fine-tune sparsified models in Axolotl using Neural Magic's [LLMCompressor](https://github.com/vllm-project/llm-compressor).
This integration enables fine-tuning of models sparsified using LLMCompressor within the Axolotl training framework. By combining LLMCompressor's model compression capabilities with Axolotl's distributed training pipelines, users can efficiently fine-tune sparse models at scale.
It uses Axolotls plugin system to hook into the fine-tuning flows while maintaining sparsity throughout training.
---
## Requirements
- Axolotl with `llmcompressor` extras:
```bash
pip install "axolotl[llmcompressor]"
```
- Requires `llmcompressor >= 0.5.1`
This will install all necessary dependencies to fine-tune sparsified models using the integration.
---
## Usage
To enable sparse fine-tuning with this integration, include the plugin in your Axolotl config:
```yaml
plugins:
- axolotl.integrations.llm_compressor.LLMCompressorPlugin
llmcompressor:
recipe:
finetuning_stage:
finetuning_modifiers:
ConstantPruningModifier:
targets: [
're:.*q_proj.weight',
're:.*k_proj.weight',
're:.*v_proj.weight',
're:.*o_proj.weight',
're:.*gate_proj.weight',
're:.*up_proj.weight',
're:.*down_proj.weight',
]
start: 0
# ... (other training arguments)
```
This plugin **does not apply pruning or sparsification itself** — it is intended for **fine-tuning models that have already been sparsified**.
Pre-sparsified checkpoints can be:
- Generated using [LLMCompressor](https://github.com/vllm-project/llm-compressor)
- Or downloaded from [Neural Magic's Hugging Face page](https://huggingface.co/neuralmagic)
To learn more about writing and customizing LLMCompressor recipes, refer to the official documentation:
[https://github.com/vllm-project/llm-compressor/blob/main/README.md](https://github.com/vllm-project/llm-compressor/blob/main/README.md)
### Example Config
See [`examples/llama-3/sparse-finetuning.yaml`](examples/llama-3/sparse-finetuning.yaml) for a complete example.
---
## Learn More
For details on available sparsity and quantization schemes, fine-tuning recipes, and usage examples, visit the official LLMCompressor repository:
👉 [https://github.com/vllm-project/llm-compressor](https://github.com/vllm-project/llm-compressor)