DeepCoder

Meet DeepCoder, a smart AI model that helps with coding tasks. It was created by Agentica and Together AI, using the Deepseek-R1-Distill-Qwen-14B model. DeepCoder learns through reinforcement and was trained on 24000 high quality coding problems.

Benefits
DeepCoder has many advantages. It has a 14 billion parameter architecture and scores a 60.6 pass rate on coding benchmarks. This makes it perfect for tasks like finding algorithmic solutions, debugging, and customizing code. It scored 92.6 on HumanEval+ and has a Codeforces rating of 1936, putting it in the top 5 coders. The model was trained quickly, in just 2.5 weeks on powerful GPUs.

Use Cases
DeepCoder can be used in many ways. It helps with competitive programming by generating solutions, debugging code, and understanding complex problems on platforms like Codeforces. Its 64K context window is great for developing and analyzing large codebases, making it easier to refactor functions and generate boilerplate code. Researchers can also use DeepCoder to explore advancements in reinforcement learning and code generation.

DeepCoder offers a powerful tool for developers, educators, and researchers. It sets a new standard for open models in code reasoning, allowing everyone to tinker, test, and build freely.