StarCoder

StarCoder

BigCode
+
+

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About

AWS CodeStar enables you to quickly develop, build, and deploy applications on AWS. AWS CodeStar provides a unified user interface, enabling you to easily manage your software development activities in one place. With AWS CodeStar, you can set up your entire continuous delivery toolchain in minutes, allowing you to start releasing code faster. AWS CodeStar makes it easy for your whole team to work together securely, allowing you to easily manage access and add owners, contributors, and viewers to your projects. Each AWS CodeStar project comes with a project management dashboard, including an integrated issue tracking capability powered by Atlassian Jira Software. With the AWS CodeStar project dashboard, you can easily track progress across your entire software development process, from your backlog of work items to teams’ recent code deployments. There is no additional charge for using AWS CodeStar. You only pay for the AWS resources that you provision.

About

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developer and DevOps teams seeking a solution to develop, build, and deploy applications on AWS

Audience

Developers interested in an LLM for code generation

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/codestar/

Company Information

BigCode
Founded: 2023
huggingface.co/blog/starcoder

Alternatives

AWS Cloud9

AWS Cloud9

Amazon

Alternatives

CodeGemma

CodeGemma

Google
CodeQwen

CodeQwen

Alibaba
StarCoder

StarCoder

BigCode
DeepSeek Coder

DeepSeek Coder

DeepSeek
StarCode

StarCode

InveGix Technologies
STARS

STARS

Stellar Velocity
Mercury Coder

Mercury Coder

Inception Labs

Categories

Categories

AI Code Generators Supported
AI Coding Models Supported
AI Copilots Supported
AI Models Supported
AI Tools Supported

Continuous Delivery Features

Application Lifecycle Management Supported
Application Release Automation Supported
Build Automation Supported
Build Log Supported
Change Management Supported
Configuration Management Supported
Continuous Deployment Supported
Continuous Integration Supported
Feature Toggles / Feature Flags Supported
Quality Management Supported
Testing Management Supported

Integrations

GitHub Supported
AWS Cloud9 Supported
AWS CodeCommit Supported
AWS Lambda Supported
Amazon EC2 Supported
Amazon S3 Supported
Amazon Web Services (AWS) Supported
ChatGPT Not Supported
CodeQwen Not Supported
Git Not Supported
Jira Supported
Klera Supported
LM Studio Not Supported
OpenAI Not Supported
Python Not Supported
Tabby Not Supported
Taylor AI Not Supported
Veracode Supported
Visual Studio Code Not Supported

Integrations

GitHub Supported
AWS Cloud9 Not Supported
AWS CodeCommit Not Supported
AWS Lambda Not Supported
Amazon EC2 Not Supported
Amazon S3 Not Supported
Amazon Web Services (AWS) Not Supported
ChatGPT Supported
CodeQwen Supported
Git Supported
Jira Not Supported
Klera Not Supported
LM Studio Supported
OpenAI Supported
Python Supported
Tabby Supported
Taylor AI Supported
Veracode Not Supported
Visual Studio Code Supported
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