Instructions to use mpasila/Viking-SlimSonnet-v1-LoRA-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mpasila/Viking-SlimSonnet-v1-LoRA-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LumiOpen/Viking-7B") model = PeftModel.from_pretrained(base_model, "mpasila/Viking-SlimSonnet-v1-LoRA-7B") - Transformers
How to use mpasila/Viking-SlimSonnet-v1-LoRA-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpasila/Viking-SlimSonnet-v1-LoRA-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use mpasila/Viking-SlimSonnet-v1-LoRA-7B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mpasila/Viking-SlimSonnet-v1-LoRA-7B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mpasila/Viking-SlimSonnet-v1-LoRA-7B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mpasila/Viking-SlimSonnet-v1-LoRA-7B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mpasila/Viking-SlimSonnet-v1-LoRA-7B", max_seq_length=2048, )
| base_model: LumiOpen/Viking-7B | |
| language: | |
| - en | |
| - fi | |
| - sv | |
| - 'no' | |
| - da | |
| - is | |
| - nn | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| datasets: | |
| - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned | |
| - mpasila/Sonnet3.5-SlimOrcaDedupCleaned-4k-context | |
| library_name: peft | |
| This is the fully trained version (with fixed formatting!!). | |
| Dataset used: [Gryphe/Sonnet3.5-SlimOrcaDedupCleaned](https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned) which was further [filtered](https://huggingface.co/datasets/mpasila/Sonnet3.5-SlimOrcaDedupCleaned-4k-context) to remove prompts/examples that are longer than 4076 tokens (removed about 385 examples). | |
| Prompt format is: ChatML | |
| Merged model: [mpasila/Viking-SlimSonnet-v1-7B](https://huggingface.co/mpasila/Viking-SlimSonnet-v1-7B) | |
| Trained with regular LoRA (not quantized/QLoRA) and LoRA rank was 128 and Alpha set to 32. Trained for 1 epoch using A40 for about 23 hours. | |
| # Uploaded model | |
| - **Developed by:** mpasila | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** LumiOpen/Viking-7B | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |