Instructions to use jojodd/llama3.1-8b-kowiki-instruct-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jojodd/llama3.1-8b-kowiki-instruct-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jojodd/llama3.1-8b-kowiki-instruct-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use jojodd/llama3.1-8b-kowiki-instruct-lora 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 jojodd/llama3.1-8b-kowiki-instruct-lora 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 jojodd/llama3.1-8b-kowiki-instruct-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jojodd/llama3.1-8b-kowiki-instruct-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="jojodd/llama3.1-8b-kowiki-instruct-lora", max_seq_length=2048, )
- Xet hash:
- aa88e7c0e7eac0d66b0e7aaa1b7bda711e13eca6d8a3307c1baed1fe9eae7980
- Size of remote file:
- 3.44 GB
- SHA256:
- 117ec360805d85cb5df38bd0642b7df0058b5768393d73ec911b9f8d936fb808
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