Instructions to use N-Bot-Int/ZoraBetaA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use N-Bot-Int/ZoraBetaA2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "N-Bot-Int/ZoraBetaA2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use N-Bot-Int/ZoraBetaA2 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 N-Bot-Int/ZoraBetaA2 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 N-Bot-Int/ZoraBetaA2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for N-Bot-Int/ZoraBetaA2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="N-Bot-Int/ZoraBetaA2", max_seq_length=2048, )
| library_name: peft | |
| license: apache-2.0 | |
| base_model: | |
| - HuggingFaceH4/zephyr-7b-beta | |
| tags: | |
| - trl | |
| - sft | |
| - unsloth | |
| - generated_from_trainer | |
| model-index: | |
| - name: ZoraBetaA1 | |
| results: [] | |
| language: | |
| - en | |
| Support us On **KO-FI** | |
| [](https://ko-fi.com/J3J61D8NHV) | |
|  | |
| **ZoraBetaA family** | |
| # ZoraBetaA2 - EmpressOfRoleplay | |
| - ZoraBetaA2 is Our Brand new AI Model, finetuned from Our A1 model using [Iris-Uncensored-Reformat-R2](https://huggingface.co/datasets/N-Bot-Int/Iris-Uncensored-Reformat-R2?not-for-all-audiences=true) with higher step, | |
| ZoraBetaA2 showcase a Strong Roleplaying Capability With an Even Stronger Finetuned Bias toward Roleplaying Using **Zephyr Beta 7B**, | |
| ZoraBetaA2 also Shows a Great Roleplaying Capabilities, Without Hallucinating Much Unlike MistThena7B Finetuned Using Mistral 7b v0.1, | |
| ZoraBetaA2 Is A Much Biased To Roleplay AI Model, compared the A1 model, due to this, the A2 Model failed at Other Purpose Beyond Roleplaying | |
| This New Architecture allow us To Increase Roleplaying capabilities without Doing everything from scratch as **Zephyr Beta** has a Strong RP foundation already, | |
| Leading us to Scaffolding on this Architecture And Increasing Roleplaying capabilities further. | |
| - ZoraBetaA2 contains Cleaned Dataset, however its still relatively Unstable so please Report any issues found through our email | |
| [nexus.networkinteractives@gmail.com](nexus.networkinteractives@gmail.com) | |
| about any overfitting, or improvements for the future Models | |
| Once again feel free to Modify the LORA to your likings, However please consider Adding this Page | |
| for credits and if you'll increase its **Dataset**, then please handle it with care and ethical considerations | |
| - ZoraBetaA2 is | |
| - **Developed by:** N-Bot-Int | |
| - **License:** apache-2.0 | |
| - **Parent Model from model:** HuggingFaceH4/zephyr-7b-beta | |
| - **Dataset Combined Using:** UltraDatasetCleanerAndMoshpit-R1(Propietary Software) | |
| - # Notice | |
| - **For a Good Experience, Please use** | |
| - Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128 | |
| - # Detail card: | |
| - Parameter | |
| - 7 Billion Parameters | |
| - (Please visit your GPU Vendor if you can Run 3B models) | |
| - Training | |
| - 300 Steps from | |
| Iris-Dataset-Reformat-R1 | |
| - Finetuning tool: | |
| - Unsloth AI | |
| - This Zephyr 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) | |
| - Fine-tuned Using: | |
| - Google Colab |