Instructions to use ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
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https://huggingface.co/ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/resolve/main/README.md
- Command line
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hf download hf://ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/README.md
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curl -L -o README.md https://huggingface.co/ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/resolve/main/README.md
1.29 kB
| base_model: mistralai/Mistral-Nemo-Instruct-2407 | |
| library_name: peft | |
| license: apache-2.0 | |
| tags: | |
| - axolotl | |
| - generated_from_trainer | |
| model-index: | |
| - name: SpringDragon-NeMo-Instruct-QLoRA-ep1 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) | |
| # SpringDragon-NeMo-Instruct-QLoRA-ep1 | |
| This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the SpringDragon dataset. | |
| Completion format. User instructions are given with `>`. | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 3e-05 | |
| - train_batch_size: 6 | |
| - eval_batch_size: 6 | |
| - seed: 111 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 20 | |
| - num_epochs: 1 | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.44.0.dev0 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 |