🧠 Neura-4.1-Think

Neura-4.1-Think is a fine-tuned DeepSeek-R1-Distill-Qwen-1.5B model, designed for conversational AI, text generation, and reasoning tasks.

🚀 Model Details

• Base Model: DeepSeek-R1-Distill-Qwen-1.5B
• Fine-tuned on: Custom dataset with enhanced reasoning and conversational tuning.
• Purpose: General-purpose AI with improved creative writing and Q&A abilities.

🔥 Features

• Generates human-like text responses.
• Trained to recognize itself as "Neura-4.1-Think".
• Supports context-aware conversations.
• Provides informative and engaging answers.

🛠 How to Use

You can try the model directly on this page using the "Test Compute" button or use it in Python:

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# Load model
model_name = "FahadCEO7376/Neura-4.1-Think"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16)

# Generate text
def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt").to("cpu")
    output = model.generate(**inputs, max_length=200, temperature=0.7, top_p=0.9, do_sample=True)
    return tokenizer.decode(output[0], skip_special_tokens=True)

# Test the model
print(generate_text("Who are you?"))