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Description
CodeQwen serves as the coding counterpart to Qwen, which is a series of large language models created by the Qwen team at Alibaba Cloud. Built on a transformer architecture that functions solely as a decoder, this model has undergone extensive pre-training using a vast dataset of code. It showcases robust code generation abilities and demonstrates impressive results across various benchmarking tests. With the capacity to comprehend and generate long contexts of up to 64,000 tokens, CodeQwen accommodates 92 programming languages and excels in tasks such as text-to-SQL queries and debugging. Engaging with CodeQwen is straightforward—you can initiate a conversation with just a few lines of code utilizing transformers. The foundation of this interaction relies on constructing the tokenizer and model using pre-existing methods, employing the generate function to facilitate dialogue guided by the chat template provided by the tokenizer. In alignment with our established practices, we implement the ChatML template tailored for chat models. This model adeptly completes code snippets based on the prompts it receives, delivering responses without the need for any further formatting adjustments, thereby enhancing the user experience. The seamless integration of these elements underscores the efficiency and versatility of CodeQwen in handling diverse coding tasks.
Description
Mentat is an AI-powered tool designed to help you with various coding tasks directly from your command line interface. In contrast to Copilot, Mentat efficiently manages edits across numerous files and locations simultaneously. Moreover, unlike ChatGPT, Mentat is aware of your project's context, eliminating the need for tedious copy and pasting. To utilize Mentat, simply execute it within your project directory. Since Mentat operates using Git, ensure that your project is initialized with Git by running git init if it hasn't been set up yet. You can specify the files that Mentat should access and modify by listing them as arguments. Be mindful to keep within the token context limit of GPT-4, as Mentat will incorporate each specified file into its context for processing. This feature allows for a more streamlined and efficient coding experience.
API Access
Has API
API Access
Has API
Integrations
GPT-4
Python
Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Git
Integrations
GPT-4
Python
Alibaba Cloud
AtCoder
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Git
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/CodeQwen1.5
Vendor Details
Company Name
Abante AI
Website
www.mentat.ai/