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🖥 Phi-3-mini в 30 строках на C# с ONNX Runtime GenAI

В рамках запуска Phi-3 Microsoft выпустила оптимизированные модели ONNX, как подробно описано в статье «ONNX Runtime supports Phi-3 mini models across platforms and devices».
Также модели Phi-3 mini опубликованы на HuggingFace 🤗

Используя всё это, можно легко запустить модель локально всего в нескольких строках C#, как показано в этом гайде.

▶️ Гайд

А вот те самые 30 строк:

using Microsoft.ML.OnnxRuntimeGenAI;
var modelDirectory = args.Length == 2 ? args[1] :
@"C:\git\oss\Phi-3-mini-4k-instruct-onnx\cuda\cuda-int4-rtn-block-32";
using var model = new Model(modelDirectory);
using var tokenizer = new Tokenizer(model);
while (true)
{
Console.Write("Prompt: ");
var line = Console.ReadLine();
if (line == null) { continue; }

using var tokens = tokenizer.Encode(line);

using var generatorParams = new GeneratorParams(model);
generatorParams.SetSearchOption("max_length", 2048);
generatorParams.SetInputSequences(tokens);

using var generator = new Generator(model, generatorParams);

while (!generator.IsDone())
{
generator.ComputeLogits();
generator.GenerateNextToken();
var outputTokens = generator.GetSequence(0);
var newToken = outputTokens.Slice(outputTokens.Length - 1, 1);
var output = tokenizer.Decode(newToken);
Console.Write(output);
}
Console.WriteLine();
}


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🖥 Phi-3-mini в 30 строках на C# с ONNX Runtime GenAI

В рамках запуска Phi-3 Microsoft выпустила оптимизированные модели ONNX, как подробно описано в статье «ONNX Runtime supports Phi-3 mini models across platforms and devices».
Также модели Phi-3 mini опубликованы на HuggingFace 🤗

Используя всё это, можно легко запустить модель локально всего в нескольких строках C#, как показано в этом гайде.

▶️ Гайд

А вот те самые 30 строк:


using Microsoft.ML.OnnxRuntimeGenAI;
var modelDirectory = args.Length == 2 ? args[1] :
@"C:\git\oss\Phi-3-mini-4k-instruct-onnx\cuda\cuda-int4-rtn-block-32";
using var model = new Model(modelDirectory);
using var tokenizer = new Tokenizer(model);
while (true)
{
Console.Write("Prompt: ");
var line = Console.ReadLine();
if (line == null) { continue; }

using var tokens = tokenizer.Encode(line);

using var generatorParams = new GeneratorParams(model);
generatorParams.SetSearchOption("max_length", 2048);
generatorParams.SetInputSequences(tokens);

using var generator = new Generator(model, generatorParams);

while (!generator.IsDone())
{
generator.ComputeLogits();
generator.GenerateNextToken();
var outputTokens = generator.GetSequence(0);
var newToken = outputTokens.Slice(outputTokens.Length - 1, 1);
var output = tokenizer.Decode(newToken);
Console.Write(output);
}
Console.WriteLine();
}


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