9de5b76336
* feat: move to uv first * fix: update doc to uv first * fix: merge dev/tests into uv pyproject * fix: update docker docs to match current config * fix: migrate examples to readme * fix: add llmcompressor to conflict * feat: rec uv sync with lockfile for dev/ci * fix: update docker docs to clarify how to use uv images * chore: docs * fix: use system python, no venv * fix: set backend cpu * fix: only set for installing pytorch step * fix: remove unsloth kernel and installs * fix: remove U in tests * fix: set backend in deps too * chore: test * chore: comments * fix: attempt to lock torch * fix: workaround torch cuda and not upgraded * fix: forgot to push * fix: missed source * fix: nightly upstream loralinear config * fix: nightly phi3 long rope not work * fix: forgot commit * fix: test phi3 template change * fix: no more requirements * fix: carry over changes from new requirements to pyproject * chore: remove lockfile per discussion * fix: set match-runtime * fix: remove unneeded hf hub buildtime * fix: duplicate cache delete on nightly * fix: torchvision being overridden * fix: migrate to uv images * fix: leftover from merge * fix: simplify base readme * fix: update assertion message to be clearer * chore: docs * fix: change fallback for cicd script * fix: match against main exactly * fix: peft 0.19.1 change * fix: e2e test * fix: ci * fix: e2e test
80 lines
2.7 KiB
Markdown
80 lines
2.7 KiB
Markdown
# Finetune Ministral3 with Axolotl
|
|
|
|
Ministral3 is a family of open-weight models from MistralAI found on [HuggingFace](https://huggingface.co/collections/mistralai/ministral-3). This guide shows how to fine-tune it with Axolotl with multi-turn conversations and proper masking.
|
|
|
|
Please see [Thinking](#thinking) and [Vision](#vision) for their respective fine-tuning.
|
|
|
|
Thanks to the team at MistralAI for giving us early access to prepare for these releases.
|
|
|
|
Note: This is still experimental given it is based on transformers v5 RC.
|
|
|
|
## Getting started
|
|
|
|
1. Install Axolotl from source following the [installation guide](https://docs.axolotl.ai/docs/installation.html#sec-edge-build).
|
|
|
|
2. Install [Cut Cross Entropy](https://docs.axolotl.ai/docs/custom_integrations.html#cut-cross-entropy) to reduce training VRAM usage.
|
|
|
|
3. Swap to the Axolotl transformers v5 branch
|
|
|
|
```bash
|
|
cp examples/ministral3/ministral3-3b-qlora.yaml ministral3-3b-qlora.yaml
|
|
|
|
git fetch
|
|
git checkout transformers-v5
|
|
|
|
# Install packages for transformers v5
|
|
uv pip install -e .
|
|
```
|
|
|
|
4. Run the fine-tuning:
|
|
|
|
```bash
|
|
axolotl train ministral3-3b-qlora.yaml
|
|
```
|
|
|
|
Let us know how it goes. Happy finetuning! 🚀
|
|
|
|
|
|
### Tips
|
|
|
|
- We recommend adding the same/similar SystemPrompt that the model is tuned for. You can find this within the repo's files titled `SYSTEM_PROMPT.txt`.
|
|
- You can run a full finetuning by removing the `adapter: qlora` and `load_in_4bit: true` from the config.
|
|
- Read more on how to load your own dataset at [docs](https://docs.axolotl.ai/docs/dataset_loading.html).
|
|
- The text dataset format follows the OpenAI Messages format as seen [here](https://docs.axolotl.ai/docs/dataset-formats/conversation.html#chat_template).
|
|
|
|
### Thinking
|
|
|
|
Ministral3 2512 model supports thinking capabilities, enabling Chain-of-Thought reasoning with explicit thinking steps.
|
|
|
|
📚 **[See the Thinking fine-tuning guide →](./think/README.md)**
|
|
|
|
### Vision
|
|
|
|
Ministral3 2512 model also supports vision capabilities.
|
|
|
|
📚 **[See the Vision fine-tuning guide →](./vision/README.md)**
|
|
|
|
## Optimization Guides
|
|
|
|
Please check the [Optimizations doc](https://docs.axolotl.ai/docs/optimizations.html).
|
|
|
|
## Limitations
|
|
|
|
We only support the `mistral-common` tokenizer for Supervised Fine-tuning at the moment and for `type: chat_template` only.
|
|
|
|
In addition, we do not support overriding tokens yet.
|
|
|
|
## Related Resources
|
|
|
|
- [MistralAI Mistral3 Blog](https://mistral.ai/news/mistral-3)
|
|
- [Axolotl Docs](https://docs.axolotl.ai)
|
|
- [Axolotl Website](https://axolotl.ai)
|
|
- [Axolotl GitHub](https://github.com/axolotl-ai-cloud/axolotl)
|
|
- [Axolotl Discord](https://discord.gg/7m9sfhzaf3)
|
|
|
|
|
|
## Future Work
|
|
|
|
- Add parity to Preference Tuning, RL, etc.
|
|
- Add parity to other tokenizer configs like overriding tokens.
|