Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

Baichuan-13B is an advanced large-scale language model developed by Baichuan Intelligent, featuring 13 billion parameters and available for open-source and commercial use, building upon its predecessor Baichuan-7B. This model has set new records for performance among similarly sized models on esteemed Chinese and English evaluation metrics. The release includes two distinct pre-training variations: Baichuan-13B-Base and Baichuan-13B-Chat. By significantly increasing the parameter count to 13 billion, Baichuan-13B enhances its capabilities, training on 1.4 trillion tokens from a high-quality dataset, which surpasses LLaMA-13B's training data by 40%. It currently holds the distinction of being the model with the most extensive training data in the 13B category, providing robust support for both Chinese and English languages, utilizing ALiBi positional encoding, and accommodating a context window of 4096 tokens for improved comprehension and generation. This makes it a powerful tool for a variety of applications in natural language processing.

Description

Dolly is an economical large language model that surprisingly demonstrates a notable level of instruction-following abilities similar to those seen in ChatGPT. While the Alpaca team's research revealed that cutting-edge models could be encouraged to excel in high-quality instruction adherence, our findings indicate that even older open-source models with earlier architectures can display remarkable behaviors when fine-tuned on a modest set of instructional training data. By utilizing an existing open-source model with 6 billion parameters from EleutherAI, Dolly has been slightly adjusted to enhance its ability to follow instructions, showcasing skills like brainstorming and generating text that were absent in its original form. This approach not only highlights the potential of older models but also opens new avenues for leveraging existing technologies in innovative ways.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

APIPark Yes 
Alpaca No 
Automi No 
C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Clojure Yes 
Elixir Yes 
F# Yes 
HTML Yes 
Julia Yes 
Python Yes 
R Yes 
Ruby Yes 
Rust Yes 
SQL Yes 
Scala Yes 
TypeScript Yes 
Visual Basic Yes 

Integrations

APIPark No 
Alpaca Yes 
Automi Yes 
C No 
C# No 
C++ No 
CSS No 
Clojure No 
Elixir No 
F# No 
HTML No 
Julia No 
Python No 
R No 
Ruby No 
Rust No 
SQL No 
Scala No 
TypeScript No 
Visual Basic No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

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) No 
In Person No 

Vendor Details

Company Name

Baichuan Intelligent Technology

Founded

1998

Country

China

Website

github.com/baichuan-inc/Baichuan-13B

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

databricks.com

Product Features

Product Features

Alternatives

Mistral 7B Reviews

Mistral 7B

Mistral AI

Alternatives

mT5 Reviews

mT5

Google
ChatGLM Reviews

ChatGLM

Z.ai
Llama 2 Reviews

Llama 2

Meta
GPT-J Reviews

GPT-J

EleutherAI
Qwen-7B Reviews

Qwen-7B

Alibaba
PaLM Reviews

PaLM

Google
Alpaca Reviews

Alpaca

Stanford Center for Research on Foundation Models (CRFM)