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What is LLaMA-Factory?

LLaMA-Factory represents a cutting-edge open-source platform designed to streamline and enhance the fine-tuning process for over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It offers diverse fine-tuning methods, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models effortlessly. The platform has demonstrated impressive performance improvements; for instance, its LoRA tuning can achieve training speeds that are up to 3.7 times quicker, along with better Rouge scores in generating advertising text compared to traditional methods. Crafted with adaptability at its core, LLaMA-Factory's framework accommodates a wide range of model types and configurations. Users can easily incorporate their datasets and leverage the platform's tools for enhanced fine-tuning results. Detailed documentation and numerous examples are provided to help users navigate the fine-tuning process confidently. In addition to these features, the platform fosters collaboration and the exchange of techniques within the community, promoting an atmosphere of ongoing enhancement and innovation. Ultimately, LLaMA-Factory empowers users to push the boundaries of what is possible with model fine-tuning.

What is Akamas?

Businesses must deliver top-notch services while keeping costs low and maintaining agility in their operations. The landscape of contemporary applications, whether they are on-premises or cloud-based, and whether they utilize monolithic or microservices architectures, is intricate, featuring thousands of parameters and various instance types that need to be fine-tuned to find the perfect configuration that balances performance, resilience, and cost efficiency. By utilizing Akamas, organizations can clearly define their optimization goals and constraints, such as service level objectives (SLOs), which allows for effective optimization of their applications and IT infrastructures. Those who leverage Akamas can enjoy remarkable benefits, including a 60% decrease in infrastructure and cloud expenses without compromising application performance, a 30% increase in transactions per second with the same resources, a 70% reduction in response times while maintaining stability, and an astounding 80% decrease in tuning time. Furthermore, the AI-driven optimization capabilities offered by Akamas enable companies and digital enterprises to improve service quality, strengthen resilience, and achieve significant savings, fostering a more streamlined operational environment. This holistic approach not only enhances performance metrics but also positions organizations for future growth and adaptability in a competitive market.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

hoshi-hiyouga

Company Website

github.com/hiyouga/LLaMA-Factory

Company Facts

Organization Name

Akamas

Date Founded

2019

Company Location

Italy

Company Website

akamas.io

Categories and Features

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

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