IRA is a proprietary, custom fine-tuned model developed by Neel003. It is an advanced Integrated Reasoning Architecture optimized for high-precision logic, complex reasoning, and advanced synthesis tasks.

Model Highlights

Developer: Neel003
Model Name: IRA
Parameters: 47B
Architecture: Mixture-of-Experts (MoE)
Format: Safetensors (19 Shards)

Technical Usage

IRA is compatible with the transformers library. For high-performance inference, loading with 4-bit quantization is recommended.

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "Neel003/IRA"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id, 
    torch_dtype=torch.float16, 
    device_map="auto",
    load_in_4bit=True
)