SLM in Action: Arcee Lite, a powerful 1.5B distilled model
In this video, you will learn about Arcee-Lite, a small yet powerful 1.5B model created with Distilkit, an open-source project for model distillation.
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Arcee-Lite outperforms Qwen2 1.5B, and is currently the best 1.5B model.
First, I run an 8-bit version on my M3 MacBook with ollama and OpenWeb UI. Then, I deploy the model on AWS with Amazon SageMaker. I run both synchronous and streaming inference. I also show you how to use the OpenAI Messages API, allowing you to invoke the model with the OpenAI prompting format.
Model page (full precision model): https://huggingface.co/arcee-ai/arcee...
Model page (quantized models): https://huggingface.co/arcee-ai/arcee...
Notebook: https://gitlab.com/juliensimon/arcee-...
00:00 Introduction
00:55 Introducing Arcee-Lite
04:40 Running Arcee-Lite locally with ollama and OpenWeb UI
06:20 Deploying Arcee-Lite on AWS with Amazon SageMaker
08:10 100+ tokens per second on g5.xlarge !
08:45 Streaming inference
09:40 Use cases for this model
Configuration file for ollama:
FROM ./arcee-lite-Q8_0.gguf
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