Instructions to use NairaRahim/fine_tuned900_llama3.1_withContext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NairaRahim/fine_tuned900_llama3.1_withContext with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NairaRahim/fine_tuned900_llama3.1_withContext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use NairaRahim/fine_tuned900_llama3.1_withContext 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 NairaRahim/fine_tuned900_llama3.1_withContext 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 NairaRahim/fine_tuned900_llama3.1_withContext to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for NairaRahim/fine_tuned900_llama3.1_withContext to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="NairaRahim/fine_tuned900_llama3.1_withContext", max_seq_length=2048, )
Evaluation Scores
- SacreBLEU Score: 3.331813236365657
- TER Score: 102.96541175309616
- chrF++ Score: 19.43008174716182
- METEOR Score: 0.13520985891101212
- COMET Score: 0.42972731590270996
Uploaded model
- Developed by: NairaRahim
- License: apache-2.0
- Finetuned from model : unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for NairaRahim/fine_tuned900_llama3.1_withContext
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct