Vetta Granite Interviewer - Packaged Model v3

This repository contains a packaged version of the Vetta AI interviewer model, ready for production deployment.

Model Details

Base Model: ibm-granite/granite-3.0-2b-instruct
LoRA Adapter: asifdotpy/vetta-granite-2b-lora-v3
Merged: Yes (LoRA adapters merged into base model)
Quantization: None (FP16)
Packaging Date: 2025-12-03

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "asifdotpy/vetta-granite-2b-packaged-v3",
    torch_dtype=torch.float16,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("asifdotpy/vetta-granite-2b-packaged-v3")

Intended Use

This model is designed to conduct professional AI-powered interviews for the TalentAI platform.

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Safetensors

Model size

3B params

Tensor type

F16

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