Instructions to use N-Bot-Int/ZoraBetaA1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use N-Bot-Int/ZoraBetaA1 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/ZoraBetaA1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use N-Bot-Int/ZoraBetaA1 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/ZoraBetaA1 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/ZoraBetaA1 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/ZoraBetaA1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="N-Bot-Int/ZoraBetaA1", max_seq_length=2048, )
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,8 @@
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
license: apache-2.0
|
| 4 |
-
base_model:
|
|
|
|
| 5 |
tags:
|
| 6 |
- trl
|
| 7 |
- sft
|
|
@@ -10,48 +11,51 @@ tags:
|
|
| 10 |
model-index:
|
| 11 |
- name: ZoraBetaA1
|
| 12 |
results: []
|
|
|
|
|
|
|
| 13 |
---
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
-
|
| 40 |
-
-
|
| 41 |
-
-
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
-
|
| 45 |
-
-
|
| 46 |
-
-
|
| 47 |
-
-
|
| 48 |
-
|
| 49 |
-
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
-
|
| 54 |
-
-
|
| 55 |
-
-
|
| 56 |
-
|
| 57 |
-
-
|
|
|
|
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
license: apache-2.0
|
| 4 |
+
base_model:
|
| 5 |
+
- HuggingFaceH4/zephyr-7b-beta
|
| 6 |
tags:
|
| 7 |
- trl
|
| 8 |
- sft
|
|
|
|
| 11 |
model-index:
|
| 12 |
- name: ZoraBetaA1
|
| 13 |
results: []
|
| 14 |
+
language:
|
| 15 |
+
- en
|
| 16 |
---
|
| 17 |
+
Support us On **KO-FI**
|
| 18 |
+
[](https://ko-fi.com/J3J61D8NHV)
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+

|
| 22 |
+
**ZoraBetaA family**
|
| 23 |
+
# ZoraBetaA1 - SuperLogical
|
| 24 |
+
- ZoraBetaA1 is Our Brand new AI Model, finetuned using [Iris-Uncensored-Reformat-R2](https://huggingface.co/datasets/N-Bot-Int/Iris-Uncensored-Reformat-R2?not-for-all-audiences=true),
|
| 25 |
+
ZoraBetaA1 showcase a Strong reasoning Capability With a Stronger Finetuned Bias toward Roleplaying Using **Zephyr Beta 7B**,
|
| 26 |
+
ZoraBetaA1 also Shows a Great Companionship Capabilities, Without Hallucinating Much Unlike MistThena7B Finetuned Using Mistral 7b v0.1,
|
| 27 |
+
This New Architecture allow us To Increase Roleplaying capabilities without Doing everything from scratch as **Zephyr Beta** has a Strong RP foundation already,
|
| 28 |
+
Leading us to Scaffolding on this Architecture And Increasing Roleplaying capabilities further.
|
| 29 |
+
|
| 30 |
+
- ZoraBetaA1 contains Cleaned Dataset, however its still relatively Unstable so please Report any issues found through our email
|
| 31 |
+
[nexus.networkinteractives@gmail.com](nexus.networkinteractives@gmail.com)
|
| 32 |
+
about any overfitting, or improvements for the future Models
|
| 33 |
+
Once again feel free to Modify the LORA to your likings, However please consider Adding this Page
|
| 34 |
+
for credits and if you'll increase its **Dataset**, then please handle it with care and ethical considerations
|
| 35 |
+
|
| 36 |
+
- ZoraBetaA1 is
|
| 37 |
+
- **Developed by:** N-Bot-Int
|
| 38 |
+
- **License:** apache-2.0
|
| 39 |
+
- **Parent Model from model:** HuggingFaceH4/zephyr-7b-beta
|
| 40 |
+
- **Dataset Combined Using:** UltraDatasetCleanerAndMoshpit-R1(Propietary Software)
|
| 41 |
+
|
| 42 |
+
- # Notice
|
| 43 |
+
- **For a Good Experience, Please use**
|
| 44 |
+
- Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
- # Detail card:
|
| 48 |
+
- Parameter
|
| 49 |
+
- 3 Billion Parameters
|
| 50 |
+
- (Please visit your GPU Vendor if you can Run 3B models)
|
| 51 |
+
|
| 52 |
+
- Training
|
| 53 |
+
- 300 Steps from
|
| 54 |
+
Iris-Dataset-Reformat-R1
|
| 55 |
+
|
| 56 |
+
- Finetuning tool:
|
| 57 |
+
- Unsloth AI
|
| 58 |
+
- This Zephyr model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 59 |
+
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
| 60 |
+
- Fine-tuned Using:
|
| 61 |
+
- Google Colab
|