DeepSeek-Coder-v2: The BEST Opensource Coding LLM! (Beats GPT-4o and Claude 3.5 Sonnet)

DeepSeek-Coder-v2: The BEST Opensource Coding LLM! (Beats GPT-4o and Claude 3.5 Sonnet)

The team behind DeepSeek AI is back again with another updated large language model called DeepSeek Coder V2. This team has been releasing new iterations of this model on a weekly basis, which is fantastic. The latest iteration comes with new features such as a new API, a new chat model for function calling, and chat completion, showcasing the team's dedication to continuous improvement.

Introduction to DeepSeek Coder V2

This article focuses on why the new version is significant. According to the Big Bench Coder leaderboard, which evaluates large language models with practical and challenging programming tasks, DeepSeek Coder V2 is at the top. This model is competing closely with GPT-4 Turbo and is on par with models like Claude 3.5 Sonnet. It is also miles ahead of the new Llama 3.1 with 40.5 billion parameters.

Framework and Evaluation

DeepSeek Coder V2 is the best open-source coding-based model, breaking the barrier of closed-source models in code intelligence. It supports up to 338 programming languages and has a 128K context window. The training included additional 6 trillion tokens, making it an exceptional model.

The release also focuses on the AER framework, an AI pair programmer. This framework has a leaderboard for evaluating how large language models compete against each other in AI code generation. The evaluation sheet shows that DeepSeek Coder V2 is slightly ahead of the GPT-4 Omni model and is just behind Claude 3.5 Sonnet model.

Capabilities and Installation

DeepSeek Coder V2 excels in various coding tasks such as code generation, editing, data aggregation, filtering, and sorting data in SQL. It is an open-source mixture of experts code language model and achieves performance comparable to closed-source models like GPT-4 Turbo and Omni.

For those interested in exploring its capabilities, you'd need a program like LM Studio, which helps run any model locally. You can use resources like Nvidia, Nim, Hugging Face Chat, and various GPU providers for cloud hosting these models. Additionally, LM studio allows for easy searching and installation of various versions of the DeepSeek models.

Testing the Model

The model underwent several tests, including generating a Fibonacci sequence, quick sort algorithm in Java, creating a restful API, SQL query for data analysis, and training a machine learning model. The model passed all these tests, indicating its high proficiency in generating accurate code.

The tests revealed that DeepSeek Coder V2 is exceptionally strong in basic operations and data analysis, making it a great tool for starting any coding adventure. It stands out as the best open-source large language model for code-based tasks, often outperforming closed-source models.

Conclusion

DeepSeek Coder V2 is one of the best open-source coding-based large language models available today. Continuously updated and evolved, it is a model that every coder should keep an eye on. Its capabilities, combined with the team's dedication to improvement, make it a standout in the world of AI coding models.

Keywords

• DeepSeek AI
• DeepSeek Coder V2
• Large language model (LLM)
• API
• Chat completion
• Big Bench Coder leaderboard
• AER framework
• AI pair programmer
• Code generation
• Data analysis
• Open-source
• LM Studio
• Fibonacci sequence
• Quick sort algorithm
• Restful API
• SQL query
• Machine learning model

FAQ

What is DeepSeek Coder V2?

DeepSeek Coder V2 is the latest iteration of the large language model developed by the team behind DeepSeek AI, focusing primarily on coding tasks.

How often are updates released for DeepSeek Coder V2?

The team releases new updates and iterations of their models on a weekly basis.

How does DeepSeek Coder V2 compare to other models like GPT-4 Turbo and Claude 3.5 Sonnet?

DeepSeek Coder V2 ranks closely with GPT-4 Turbo and is on par with Claude 3.5 Sonnet in performance, according to the Big Bench Coder leaderboard.

What are some of the notable features of DeepSeek Coder V2?

The model supports up to 338 programming languages, a 128K context window, and has been trained with an additional 6 trillion tokens.

What frameworks and tools can be used to run DeepSeek Coder V2 locally?

You can use LM Studio for running this model locally and utilize cloud hosting options from providers like Nvidia, Nim, and Hugging Face Chat.

What tests have been conducted to evaluate the model?

Tests include generating a Fibonacci sequence, implementing a quick sort algorithm, creating a restful API, writing SQL queries, and training a machine learning model. The model passed all these tests successfully.