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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

LLaMA-Factory is an innovative open-source platform aimed at simplifying and improving the fine-tuning process for more than 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It accommodates a variety of fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, empowering users to personalize models with ease. The platform has shown remarkable performance enhancements; for example, its LoRA tuning achieves training speeds that are up to 3.7 times faster along with superior Rouge scores in advertising text generation tasks when compared to conventional techniques. Built with flexibility in mind, LLaMA-Factory's architecture supports an extensive array of model types and configurations. Users can seamlessly integrate their datasets and make use of the platform’s tools for optimized fine-tuning outcomes. Comprehensive documentation and a variety of examples are available to guide users through the fine-tuning process with confidence. Additionally, this platform encourages collaboration and sharing of techniques among the community, fostering an environment of continuous improvement and innovation.

Description

Harness the capabilities of tailored models to gain a strategic edge in your market. With our advanced enterprise Gen AI framework, you can surpass conventional limits and delegate repetitive tasks to robust assistants in real time – the possibilities are endless. For businesses that prioritize data protection, customize and implement generative AI solutions within your own secure cloud environment, ensuring safety and confidentiality at every step.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Llama Yes 
Llama 3 Yes 
Mistral AI Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Codestral Mamba No 
GPT-4o No 
GPT-4o mini No 
Google Cloud Platform No 
Google Drive No 
Llama 3.1 No 
Microsoft Azure No 
Microsoft PowerPoint No 
Microsoft Word No 
Mistral Small No 
Qwen Yes 
Salad No 
Tune Studio No 
Weights & Biases No 

Integrations

Llama Yes 
Llama 3 Yes 
Mistral AI Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Codestral Mamba Yes 
GPT-4o Yes 
GPT-4o mini Yes 
Google Cloud Platform Yes 
Google Drive Yes 
Llama 3.1 Yes 
Microsoft Azure Yes 
Microsoft PowerPoint Yes 
Microsoft Word Yes 
Mistral Small Yes 
Qwen No 
Salad Yes 
Tune Studio Yes 
Weights & Biases Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Vendor Details

Company Name

NimbleBox

Founded

2018

Country

United States

Website

tunehq.ai

Product Features

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Natural Language Generation

Business Intelligence No 
CRM Data Analysis and Reports No 
Chatbot No 
Email Marketing No 
Financial Reporting No 
Multiple Language Support No 
SEO No 
Web Content No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Alternatives

Alternatives

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