Text Generation
Safetensors
English
llama
conversational
unsloth
kingxtech
kx-neurocore
4-bit precision
bitsandbytes
Instructions to use KingzAlkhasim/KX-NeuroCore-Alpha-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use KingzAlkhasim/KX-NeuroCore-Alpha-v1 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 KingzAlkhasim/KX-NeuroCore-Alpha-v1 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 KingzAlkhasim/KX-NeuroCore-Alpha-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for KingzAlkhasim/KX-NeuroCore-Alpha-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="KingzAlkhasim/KX-NeuroCore-Alpha-v1", max_seq_length=2048, )
KX-NeuroCore Alpha-v1
KX-NeuroCore is the custom logic core for the KingxTech ecosystem. Built by Alkhassim Lawal Umar (KingzAlkhasim), this model is fine-tuned on the Llama 3.2 3B architecture, optimized to handle advanced technical logic, full-stack development workflows, and AI assistant tasks.
Key Features:
- Developer Assistance: Specialized logic for programming and architecture.
- NeuroCore Logic Layer: Trained using a custom logic framework to optimize responses.
- Speed: Trained 2x faster using Unsloth.
How to Use:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "KingzAlkhasim/KX-NeuroCore-Alpha-v1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
- Downloads last month
- 60