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ModelHub XC 903031daca 初始化项目，由ModelHub XC社区提供模型

Model: Neura-Tech-AI/Neuron-V1-14B-Instruct
Source: Original Platform

2026-06-30 15:09:59 +08:00

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🧠 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"
)

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