Qwen2.5-1M

Qwen2.5-1M

Alibaba
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About

Qwen2.5-1M is an open-source language model developed by the Qwen team, designed to handle context lengths of up to one million tokens. This release includes two model variants, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, marking the first time Qwen models have been upgraded to support such extensive context lengths. To facilitate efficient deployment, the team has also open-sourced an inference framework based on vLLM, integrated with sparse attention methods, enabling processing of 1M-token inputs with a 3x to 7x speed improvement. Comprehensive technical details, including design insights and ablation experiments, are available in the accompanying technical report.

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.

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

AI researchers, developers, and organizations seeking an open-source large language model with extended context capabilities for advanced natural language processing tasks

Audience

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

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/qwen2.5-1m/

Company Information

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

Alternatives

Qwen2.5-Max

Qwen2.5-Max

Alibaba

Alternatives

DeepCoder

DeepCoder

Agentica Project
CodeQwen

CodeQwen

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Qwen3-Max

Qwen3-Max

Alibaba
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
C
C++
CSS
Clojure
Elixir
F#
Go
HTML
Hugging Face
Java
Julia
Kotlin
Python
Qwen Chat
R
Ruby
Rust
Scala
Visual Basic

Integrations

Alibaba Cloud
C
C++
CSS
Clojure
Elixir
F#
Go
HTML
Hugging Face
Java
Julia
Kotlin
Python
Qwen Chat
R
Ruby
Rust
Scala
Visual Basic
Claim Qwen2.5-1M and update features and information
Claim Qwen2.5-1M and update features and information
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information