Instructions to use sulcan/CHATQCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sulcan/CHATQCD with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "sulcan/CHATQCD") - Notebooks
- Google Colab
- Kaggle
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
library_name: peft
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
https://github.com/sulcantonin/CHATQCD_ICHEP24
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Antonin Sulc, Patrick L.S. Connor
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** English
- **Finetuned from model [optional]:** unsloth/llama-3-8b-Instruct-bnb-4bit
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/sulcantonin/CHATQCD_ICHEP24
- **Paper:** [TBD]
- PEFT 0.12.0 |