Comments (2)
This is about running LLMs locally on Apple Silicone. Core ML is a framework that can redistribute workload across CPU, GPU & Nural Engine (ANE). ANE is available on all modern Apple Devices: iPhones & Macs (A14 or newer and M1 or newer). Ideally, we want to run LLMs on ANE only as it has optimizations for running ML tasks compared to GPU. Apple claims "deploying your Transformer models on Apple devices with an A14 or newer and M1 or newer chip to achieve up to 10 times faster and 14 times lower peak memory consumption compared to baseline implementations".
- To utilize Core ML first, you need to convert a model from TensorFlow, PyTorch to Core ML model package format using coremltools (or simply utilize existing models in Core ML package format ).
- Second, you must now use that converted package with an implementation designed for Apple Devices. Here is the Apple XCode reference PyTorch implementation.
https://machinelearning.apple.com/research/neural-engine-transformers
from llamachat.
Under the internal name "Project ACDC," Apple is developing Apple Silicon designed specifically for server farms dedicated to AI processing. The company aims to optimize AI applications within its data centers for future versions of its platforms.
from llamachat.
Related Issues (20)
- Syntax Error in ChatModel.swift HOT 2
- Build error HOT 1
- Add Metal/GPU support for running model inference HOT 1
- Support for Falcon HOT 1
- Support for Open LLaMa? HOT 1
- Add iOS support ? HOT 1
- Support ggmlv3 HOT 2
- windows support HOT 1
- Error using pth format model HOT 4
- installation environment problem HOT 1
- llama2 7B-chat model works poorly.
- Error when converting model HOT 1
- [Feature Request] Support InternLM
- Support for Code Llama – Instruct?
- support for amd gpu (macos)
- Ollama support HOT 1
- Broken link in README
- Llamachat is spouting gibberish HOT 1
- llama3 support
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from llamachat.