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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Hugging Face is an AI community platform that provides state-of-the-art machine learning models, datasets, and APIs to help developers build intelligent applications. The platform’s extensive repository includes models for text generation, image recognition, and other advanced machine learning tasks. Hugging Face’s open-source ecosystem, with tools like Transformers and Tokenizers, empowers both individuals and enterprises to build, train, and deploy machine learning solutions at scale. It offers integration with major frameworks like TensorFlow and PyTorch for streamlined model development.

Description

Unsloth is an innovative open-source platform specifically crafted to enhance and expedite the fine-tuning and training process of Large Language Models (LLMs). This platform empowers users to develop customized models, such as ChatGPT, in just a single day, a remarkable reduction from the usual training time of 30 days, achieving speeds that can be up to 30 times faster than Flash Attention 2 (FA2) while significantly utilizing 90% less memory. It supports advanced fine-tuning methods like LoRA and QLoRA, facilitating effective customization for models including Mistral, Gemma, and Llama across its various versions. The impressive efficiency of Unsloth arises from the meticulous derivation of computationally demanding mathematical processes and the hand-coding of GPU kernels, which leads to substantial performance enhancements without necessitating any hardware upgrades. On a single GPU, Unsloth provides a tenfold increase in processing speed and can achieve up to 32 times improvement on multi-GPU setups compared to FA2, with its functionality extending to a range of NVIDIA GPUs from Tesla T4 to H100, while also being portable to AMD and Intel graphics cards. This versatility ensures that a wide array of users can take full advantage of Unsloth's capabilities, making it a compelling choice for those looking to push the boundaries of model training efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Devstral Yes 
Muse Glimmer Yes 
Thunder Compute Yes 
Baz Yes 
CodeQwen Yes 
Echo AI Yes 
Future AGI Yes 
General Analysis Yes 
HPC-AI Yes 
JetStream Security Yes 
MiniMax M1 Yes 
Mistral AI No 
NVIDIA Cosmos Yes 
Phi-4-reasoning Yes 
Qwen 4 Yes 
Qwen2-VL Yes 
Qwen3.8-Omni-Flash Yes 
Singulr Yes 
Steamship Yes 
ZenML Yes 

Integrations

Devstral Yes 
Muse Glimmer Yes 
Thunder Compute Yes 
Baz No 
CodeQwen No 
Echo AI No 
Future AGI No 
General Analysis No 
HPC-AI No 
JetStream Security No 
MiniMax M1 No 
Mistral AI Yes 
NVIDIA Cosmos No 
Phi-4-reasoning No 
Qwen 4 No 
Qwen2-VL No 
Qwen3.8-Omni-Flash No 
Singulr No 
Steamship No 
ZenML No 

Pricing Details

$9 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises No 
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 Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Hugging Face

Founded

2016

Country

United States

Website

huggingface.co

Vendor Details

Company Name

Unsloth

Founded

2023

Country

United States

Website

unsloth.ai/

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 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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