Gemma-2-2B-IT-OpenVINO-INT8

This repository contains the Silver Series optimized OpenVINO™ IR version of Gemma-2-2B-Instruct, quantized to INT8 precision using NNCF. This release offers a high-fidelity balance between reasoning accuracy and local execution speed.

---

🐍 Python Inference (Optimum-Intel)

To run this Silver Series engine locally:

from optimum.intel import OVModelForCausalLM
from transformers import AutoTokenizer

model_id = "CelesteImperia/Gemma-2-2B-IT-OpenVINO-INT8"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForCausalLM.from_pretrained(model_id)

prompt = "Explain the benefit of INT8 quantization for AI models."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

---

💻 For C# / .NET Users (OpenVINO.GenAI)

The Silver Series is optimized for the native OpenVINO.GenAI NuGet package. This approach provides the lowest latency for Windows-based C# applications.

using OpenVino.GenAI;

// 1. Initialize the LLM Pipeline
var device = "CPU"; // Use "GPU" for RTX 3090/A4000 acceleration
using var pipe = new LLMPipeline("path/to/gemma-2-int8-model", device);

// 2. Set Generation Config
var config = new GenerationConfig { MaxNewTokens = 256, Temperature = 0.7f };

// 3. Execute Inference
var prompt = "Translate this C# snippet to Python: Console.WriteLine(\"Forge Active\");";
var result = pipe.Generate(prompt, config);

Console.WriteLine(result);

---

🏗️ Technical Details

• Optimization Tool: NNCF (Neural Network Compression Framework)
• Quantization: INT8 Symmetric (Per-channel)
• Series: Silver (High Fidelity)
• Workstation Validation: Dual-GPU (RTX 3090 + RTX A4000)

---

☕ Support the Forge

Maintaining a comprehensive local AI warehouse requires significant resources. If these high-fidelity Silver Series models power your projects, please consider supporting the Forge:

Platform	Support Link
Global & India	Support via Razorpay

Scan to support via UPI (India Only):

---

📜 License

This model is released under the Gemma Terms of Use.

---

Connect with the architect: Abhishek Jaiswal on LinkedIn