🧠 Neura-Tech-AI/Neuron-Distill-Qwen2-14B: The Official Intelligence of Neura Tech AI
Neura-Tech-AI/Neuron-V1-14B-Instruct is a high-performance Large Language Model (LLM) developed by Neura Tech AI. It serves as the flagship model for advanced reasoning, creative synthesis, and multilingual communication.
🏢 Organization Identity
- Company: Neura Tech AI
- Project Name: Neuron
- Lead Architect: Samarth Anand Pathak
📊 Model Specifications
- Architecture: Optimized Transformer (Fine-tuned from Qwen2)
- Parameters: ~15 Billion
- Precision: BF16 (Bfloat16)
- Context Window: 32K tokens
- License: Apache-2.0 (Open Source)
🎯 Core Capabilities
- Advanced Reasoning: Capable of solving complex logical and mathematical queries.
- Multilingual Proficiency: Highly optimized for English and Hindi (including Hinglish).
- Instruction Following: Specifically tuned to follow complex user prompts with high precision.
- Creative Synthesis: Exceptional at generating scripts, stories, and technical documentation.
📜 License & Usage
This model is licensed under the Apache-2.0 License. This means you are free to use, modify, and distribute this model, provided that you credit Neura Tech as the original creator.
🛠️ Quick Start (Python)
To use Neura-Tech-AI/Neuron-V1-14B-Instruct, load it via the Hugging Face transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "Neura-Tech-AI/Neuron-V1-14B-Instruct"
# Load Neuron-14B Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_id)
# Load Model Weights
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
torch_dtype="auto"
)