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optimum-intel library:1from optimum.intel import OVModelForCausalLM
2from transformers import AutoTokenizer
3
4model_id = "CelesteImperia/Mistral-Nemo-12B-Instruct-OpenVINO-INT8"
5tokenizer = AutoTokenizer.from_pretrained(model_id)
6model = OVModelForCausalLM.from_pretrained(model_id)
7
8prompt = "Analyze the architectural benefits of using a 12B parameter model for industrial automation logic."
9inputs = tokenizer(prompt, return_tensors="pt")
10outputs = model.generate(**inputs, max_new_tokens=300)
11print(tokenizer.decode(outputs[0], skip_special_tokens=True))OpenVINO.GenAI framework, providing a high-performance path for large-scale model deployment in .NET environments.1using OpenVino.GenAI;
2
3// 1. Initialize the LLM Pipeline
4var device = "CPU"; // Use "GPU" to leverage your RTX 3090/A4000 VRAM
5using var pipe = new LLMPipeline("path/to/mistral-nemo-int8-model", device);
6
7// 2. Set Generation Config
8var config = new GenerationConfig { MaxNewTokens = 1024, Temperature = 0.4f };
9
10// 3. Execute Inference
11var prompt = "Write a comprehensive technical specification for a C# based AI middleware.";
12var result = pipe.Generate(prompt, config);
13
14Console.WriteLine(result);| Platform | Support Link |
|---|---|
| Global & India | Support via Razorpay |
