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

The TinyLlama initiative seeks to pretrain a Llama model with 1.1 billion parameters using a dataset of 3 trillion tokens. With the right optimizations, this ambitious task can be completed in a mere 90 days, utilizing 16 A100-40G GPUs. We have maintained the same architecture and tokenizer as Llama 2, ensuring that TinyLlama is compatible with various open-source projects that are based on Llama. Additionally, the model's compact design, consisting of just 1.1 billion parameters, makes it suitable for numerous applications that require limited computational resources and memory. This versatility enables developers to integrate TinyLlama seamlessly into their existing frameworks and workflows.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

AiAssistWorks
Alibaba Cloud Model Studio
Athene-V2
C#
C++
CSS
Decompute Blackbird
Hugging Face
Java
JavaScript
Julia
ModelScope
NativeMind
PHP
Ruby
RunPod
SQL
TypeScript
WebLLM
Zemith

Integrations

AiAssistWorks
Alibaba Cloud Model Studio
Athene-V2
C#
C++
CSS
Decompute Blackbird
Hugging Face
Java
JavaScript
Julia
ModelScope
NativeMind
PHP
Ruby
RunPod
SQL
TypeScript
WebLLM
Zemith

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

TinyLlama

Website

github.com/jzhang38/TinyLlama

Product Features

Alternatives

OLMo 2 Reviews

OLMo 2

Ai2

Alternatives

Llama 2 Reviews

Llama 2

Meta
Falcon-40B Reviews

Falcon-40B

Technology Innovation Institute (TII)
Qwen2 Reviews

Qwen2

Alibaba
DeepSeek-V2 Reviews

DeepSeek-V2

DeepSeek
Phi-3 Reviews

Phi-3

Microsoft
Baichuan-13B Reviews

Baichuan-13B

Baichuan Intelligent Technology