StarCoder

StarCoder

BigCode
+
+

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About

Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, matching the coding capabilities of GPT-4o. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills. As of now, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers. We explore the practicality of Qwen2.5-Coder in two scenarios, including code assistants and artifacts, with some examples showcasing the potential applications of Qwen2.5-Coder in real-world scenarios. Qwen2.5-Coder-32B-Instruct, as the flagship model of this open source release, has achieved the best performance among open source models on multiple popular code generation benchmarks and has competitive performance with GPT-4o. Code repair is an important programming skill. Qwen2.5-Coder-32B-Instruct can help users fix errors in their code, making programming more efficient.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers and anyone wanting a solution to streamline and automate their tasks with AI

Audience

Developers interested in an LLM for code generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-coder-family/

Company Information

BigCode
Founded: 2023
huggingface.co/blog/starcoder

Alternatives

Alternatives

CodeGemma

CodeGemma

Google
DeepSeek Coder

DeepSeek Coder

DeepSeek
CodeQwen

CodeQwen

Alibaba
Qwen2.5

Qwen2.5

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Qwen2

Qwen2

Alibaba
CodeGen

CodeGen

Salesforce
StarCoder

StarCoder

BigCode

Categories

Categories

Integrations

Python
Alibaba Cloud
BLACKBOX AI
CSS
ChatGPT
F#
GitHub
Go
Hugging Face
Hyperbolic
Java
Julia
LM Studio
ModelScope
PHP
R
SQL
Scala
Tabby
Taylor AI

Integrations

Python
Alibaba Cloud
BLACKBOX AI
CSS
ChatGPT
F#
GitHub
Go
Hugging Face
Hyperbolic
Java
Julia
LM Studio
ModelScope
PHP
R
SQL
Scala
Tabby
Taylor AI
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information
Claim StarCoder and update features and information
Claim StarCoder and update features and information