Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Qwen LLM represents a collection of advanced large language models created by Alibaba Cloud's Damo Academy. These models leverage an extensive dataset comprising text and code, enabling them to produce human-like text, facilitate language translation, craft various forms of creative content, and provide informative answers to queries. Key attributes of Qwen LLMs include: A range of sizes: The Qwen series features models with parameters varying from 1.8 billion to 72 billion, catering to diverse performance requirements and applications. Open source availability: Certain versions of Qwen are open-source, allowing users to access and modify the underlying code as needed. Multilingual capabilities: Qwen is equipped to comprehend and translate several languages, including English, Chinese, and French. Versatile functionalities: In addition to language generation and translation, Qwen models excel in tasks such as answering questions, summarizing texts, and generating code, making them highly adaptable tools for various applications. Overall, the Qwen LLM family stands out for its extensive capabilities and flexibility in meeting user needs.

Description

Smaug-72B is a formidable open-source large language model (LLM) distinguished by several prominent features: Exceptional Performance: It currently ranks first on the Hugging Face Open LLM leaderboard, outperforming models such as GPT-3.5 in multiple evaluations, demonstrating its ability to comprehend, react to, and generate text that closely resembles human writing. Open Source Availability: In contrast to many high-end LLMs, Smaug-72B is accessible to everyone for use and modification, which encourages cooperation and innovation within the AI ecosystem. Emphasis on Reasoning and Mathematics: This model excels particularly in reasoning and mathematical challenges, a capability attributed to specialized fine-tuning methods developed by its creators, Abacus AI. Derived from Qwen-72B: It is essentially a refined version of another robust LLM, Qwen-72B, which was launched by Alibaba, thereby enhancing its overall performance. In summary, Smaug-72B marks a notable advancement in the realm of open-source artificial intelligence, making it a valuable resource for developers and researchers alike. Its unique strengths not only elevate its status but also contribute to the ongoing evolution of AI technology.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Athene-V2
Axolotl
Elixir
F#
Hugging Face
JavaScript
Kotlin
LLaMA-Factory
LM-Kit.NET
ModelScope
Qwen Chat
Ruby
Rust
SQL
SambaNova
Scala
TypeScript
TypeThink
Visual Basic
WebLLM

Integrations

Athene-V2
Axolotl
Elixir
F#
Hugging Face
JavaScript
Kotlin
LLaMA-Factory
LM-Kit.NET
ModelScope
Qwen Chat
Ruby
Rust
SQL
SambaNova
Scala
TypeScript
TypeThink
Visual Basic
WebLLM

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen

Vendor Details

Company Name

Abacus

Founded

2019

Country

United States

Website

huggingface.co/abacusai/Smaug-72B-v0.1

Product Features

Product Features

Alternatives

Phi-3 Reviews

Phi-3

Microsoft

Alternatives

Sky-T1 Reviews

Sky-T1

NovaSky
OLMo 2 Reviews

OLMo 2

Ai2
Qwen Reviews

Qwen

Alibaba
Qwen2-VL Reviews

Qwen2-VL

Alibaba
Qwen2 Reviews

Qwen2

Alibaba
Qwen2 Reviews

Qwen2

Alibaba