Files
axolotl/examples/glm46v/README.md
VED 0343a72cc9 add glm support + patch (#3329) [skip ci]
* add glm support + patch

* lint

* lint

* Update examples/glm4/glm-4-6v-flash-qlora.yaml

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm4/glm-4-6v-flash-qlora.yaml

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update src/axolotl/processing_strategies.py

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* patch removed

* lint

* lint2

* docs + rename

* rmv moe

* docs

* removed processor

* sdpa T_T"

* ddp_find_unused_parameters: true

* muti gpu yaml tested both

* muti gpu yaml tested both

* Update examples/glm46v/README.md

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm46v/README.md

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* Update examples/glm46v/README.md

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* rmv text only section + v5 comments

* rename

---------

Co-authored-by: Ved <ved.work2024@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2026-02-10 17:43:53 +07:00

45 lines
1.6 KiB
Markdown

# Finetune GLM-4.6V with Axolotl
GLM-4.6V is a family of vision-language models from ZhipuAI found on [HuggingFace](https://huggingface.co/zai-org/GLM-4.6V). This guide shows how to fine-tune it with Axolotl for vision-language tasks.
## 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. Run the fine-tuning:
glm-4-6v-flash(9B)
```bash
axolotl train examples/glm46v/glm-4-6v-flash-qlora.yaml
```
Let us know how it goes. Happy finetuning! 🚀
## Tips
- Vision datasets should follow the format described in the [multimodal docs](https://docs.axolotl.ai/docs/multimodal.html#dataset-format)
- 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 in the [dataset loading docs](https://docs.axolotl.ai/docs/dataset_loading.html).
## Supported Models
- **GLM-4.6V**: Full vision-language model (`zai-org/GLM-4.6V`)
- **GLM-4.6V-Flash**: Faster variant (`zai-org/GLM-4.6V-Flash`)
## Optimization Guides
Please check the [Optimizations doc](https://docs.axolotl.ai/docs/optimizations.html).
## Related Resources
- [ZhipuAI GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V)
- [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)