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DeepCoder-14B-Preview

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Revolutionizing AI-Powered Code Generation from DeepSeek-R1-Distilled-Qwen-14B

Ai code generation
Open-source model
High pass accuracy
Long context handling
Instant solution generation
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About DeepCoder-14B-Preview

Launched Apr 10, 2025

Categories

Code Generation
Email :

[email protected]

Industry :

Vertical

Website Linkedin X Github

Introduction Video

Description

Revolutionizing AI-Powered Code Generation from DeepSeek-R1-Distilled-Qwen-14B

DeepCoder is an innovative platform that leverages AI technology to revolutionize code generation. It offers a powerful open-source model, known as the DeepCoder-14B-Preview, which is fine-tuned for coding tasks and achieves a remarkable 60.6% Pass@1 accuracy on LiveCodeBench. DeepCoder-14B-Preview model is a great code reasoning LLM fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning to scale up to long context lengths. This model is the result of a collaboration between Together AI and Agentica. DeepCoder is designed to assist developers in creating efficient code by generating solutions from problem statements instantly.
DeepCoder-14B-Preview website

DeepCoder-14B-Preview Key Features

  • - AI Code Generation: Instantly generate efficient code from problem statements.
  • - Competitive Programming: Solve programming competition problems with high accuracy.
  • - Code Debugging: Debug and refactor code efficiently.
  • - Algorithmic Solutions: Generate optimized algorithmic solutions.
  • - Open-Source Access: Fully open-source model available through Ollama.
  • - Easy Deployment: Run with simple commands through Ollama.

DeepCoder-14B-Preview Use Cases

  • - Software Engineers: Looking to solve complex algorithmic problems efficiently.
  • - Competitive Programmers: Needing optimized solutions for coding competitions.
  • - Research Scientists: Interested in leveraging AI for rapid code generation and customization.

Pros

  • Revolutionizes code generation by leveraging advanced AI technology.
  • Features a powerful open-source model, DeepCoder-14B-Preview.
  • Achieves a high Pass@1 accuracy of 60.6% on LiveCodeBench.
  • Fine-tuned for coding tasks using distributed reinforcement learning.
  • Provides long context lengths for better code reasoning.
  • Collaboration between respected entities: Together AI and Agentica.
  • Assists developers in generating efficient code solutions from problem statements instantly.
  • Open-source nature allows for community contributions and improvements.

Cons

  • Some users may find the 60.6% Pass@1 accuracy insufficient for complex tasks.
  • Reliance on AI-generated code could potentially lead to over-dependence, reducing human problem-solving skills.
  • May require a learning curve to fully understand and utilize the model's capabilities.
  • Long context lengths, while beneficial, might result in increased resource usage and slower performance on less powerful systems.

Key Features

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