StarCoder

StarCoder

BigCode
+
+

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About

Llama 4 Scout is a powerful 17 billion active parameter multimodal AI model that excels in both text and image processing. With an industry-leading context length of 10 million tokens, it outperforms its predecessors, including Llama 3, in tasks such as multi-document summarization and parsing large codebases. Llama 4 Scout is designed to handle complex reasoning tasks while maintaining high efficiency, making it perfect for use cases requiring long-context comprehension and image grounding. It offers cutting-edge performance in image-related tasks and is particularly well-suited for applications requiring both text and visual understanding.

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

Llama 4 Scout is perfect for developers, researchers, and businesses seeking an efficient, high-performance multimodal AI model for tasks involving both text and image data, including complex reasoning, summarization, and image understanding

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
ai.meta.com

Company Information

BigCode
Founded: 2023
huggingface.co/blog/starcoder

Alternatives

Alternatives

CodeGemma

CodeGemma

Google
Claude Sonnet 4

Claude Sonnet 4

Anthropic
CodeQwen

CodeQwen

Alibaba
Claude Opus 4

Claude Opus 4

Anthropic
DeepSeek Coder

DeepSeek Coder

DeepSeek

Categories

Categories

Integrations

Python
BLACKBOX AI
CometAPI
Elixir
F#
Git
GitHub
Go
HTML
JavaScript
Julia
Kotlin
Llama
Meta AI
OpenAI
OpenRouter
PHP
Scala
Snowflake
kluster.ai

Integrations

Python
BLACKBOX AI
CometAPI
Elixir
F#
Git
GitHub
Go
HTML
JavaScript
Julia
Kotlin
Llama
Meta AI
OpenAI
OpenRouter
PHP
Scala
Snowflake
kluster.ai
Claim Llama 4 Scout and update features and information
Claim Llama 4 Scout and update features and information
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