Instructions to use Nicohst/Llama-3-Clembench-Runs-Successful-Episodes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nicohst/Llama-3-Clembench-Runs-Successful-Episodes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Nicohst/Llama-3-Clembench-Runs-Successful-Episodes") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Nicohst/Llama-3-Clembench-Runs-Successful-Episodes 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 Nicohst/Llama-3-Clembench-Runs-Successful-Episodes 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 Nicohst/Llama-3-Clembench-Runs-Successful-Episodes to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Nicohst/Llama-3-Clembench-Runs-Successful-Episodes to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Nicohst/Llama-3-Clembench-Runs-Successful-Episodes", max_seq_length=2048, )
End of training
Browse files
README.md
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# Llama-3-Clembench-Runs-Successful-Episodes
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This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-instruct-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-instruct-bnb-4bit) on the None dataset.
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nicola-er-ho/clembench-playpen-sft/runs/50ff4eak)
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# Llama-3-Clembench-Runs-Successful-Episodes
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This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-instruct-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-instruct-bnb-4bit) on the None dataset.
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"task_type": "CAUSAL_LM",
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