Core ML

Core ML

Apple
LLaMA-Factory

LLaMA-Factory

hoshi-hiyouga
+
+

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About

Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.

About

​LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers in search of a solution to integrate machine learning models into their apps

Audience

AI researchers and developers wanting a solution to fine-tune a wide array of language and vision-language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apple
United States
developer.apple.com/documentation/coreml

Company Information

hoshi-hiyouga
github.com/hiyouga/LLaMA-Factory

Alternatives

Create ML

Create ML

Apple

Alternatives

Lens

Lens

Moondream

Categories

Categories

Integrations

Apple tvOS
Apple watchOS
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
OpenAI
PaliGemma 2
Phi-2
Qwen
TensorBoard
TensorWave
Xcode
Yi-Large

Integrations

Apple tvOS
Apple watchOS
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
OpenAI
PaliGemma 2
Phi-2
Qwen
TensorBoard
TensorWave
Xcode
Yi-Large
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