| --- |
| title: "FDSP + QLoRA" |
| description: Use FSDP with QLoRA to fine-tune large LLMs on consumer GPUs. |
| format: |
| html: |
| toc: true |
| --- |
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| ## Background |
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| Using FSDP with QLoRA is essential for **fine-tuning larger (70b+ parameter) LLMs on consumer GPUs.** For example, you can use FSDP + QLoRA to train a 70b model on two 24GB GPUs[^1]. |
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| Below, we describe how to use this feature in Axolotl. |
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| ## Usage |
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| To enable `QLoRA` with `FSDP`, you need to perform the following steps: |
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| > ![Tip] |
| > See the [example config](#example-config) file in addition to reading these instructions. |
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| 1. Set `adapter: qlora` in your axolotl config file. |
| 2. Enable FSDP in your axolotl config, as [described here](https://github.com/OpenAccess-AI-Collective/axolotl?tab=readme-ov-file#fsdp). |
| 3. Use one of the supported model types: `llama`, `mistral` or `mixtral`. |
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| ## Example Config |
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| [examples/llama-2/qlora-fsdp.yml](../examples/llama-2/qlora-fsdp.yml) contains an example of how to enable QLoRA + FSDP in axolotl. |
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| ## References |
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| - [PR #1378](https://github.com/OpenAccess-AI-Collective/axolotl/pull/1378) enabling QLoRA in FSDP in Axolotl. |
| - [Blog Post](https://www.answer.ai/posts/2024-03-06-fsdp-qlora.html) from the [Answer.AI](https://www.answer.ai/) team describing the work that enabled QLoRA in FSDP. |
| - Related HuggingFace PRs Enabling FDSP + QLoRA: |
| - Accelerate [PR#2544](https://github.com/huggingface/accelerate/pull/2544 ) |
| - Transformers [PR#29587](https://github.com/huggingface/transformers/pull/29587) |
| - TRL [PR#1416](https://github.com/huggingface/trl/pull/1416) |
| - PEFT [PR#1550](https://github.com/huggingface/peft/pull/1550) |
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| [^1]: This was enabled by [this work](https://www.answer.ai/posts/2024-03-06-fsdp-qlora.html) from the Answer.AI team. |
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