metadata
language:
- en
- hi
tags:
- neuron
- neura-tech
- 14B
- text-generation
- qwen2
- neural-networks
license: apache-2.0
datasets:
- custom-neura-tech-data
metrics:
- accuracy
🧠 Neuron-14B: The Official Intelligence of Neura Tech
Neuron-14B is a high-performance Large Language Model (LLM) developed by Neura Tech. It serves as the flagship model for advanced reasoning, creative synthesis, and multilingual communication.
🏢 Organization Identity
- Company: Neura Tech
- Project Name: Neuron
- Lead Architect: Anandnrnnffn
📊 Model Specifications
- Architecture: Optimized Transformer (Fine-tuned from Qwen2)
- Parameters: ~15 Billion
- Precision: BF16 (Bfloat16)
- Context Window: 131,072 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 Neuron-14B, load it via the Hugging Face transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "Anandnrnnffn/Neura-Tech-14B-Weights"
# 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"
)