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UI2Code^N: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation
We introduce NousCoder-14B , a competitive programming model post-trained on Qwen3-14B via reinforcement learning. On LiveCodeBench v6 (08/01/2024 - 05/01/2025), we achieve a Pass@1 accuracy of 67.87\%, up 7.08\% from the baseline Pass@1 accuracy of 60.79\% of Qwen3-14B. We train…
StableCode-Completion-Alpha-3B is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that were the top used languages based on the 2023 stackoverflow developer survey.
Introduction We are thrilled to introduce Seed-Coder, a powerful, transparent, and parameter-efficient family of open-source code models at the 8B scale, featuring base, instruct, and reasoning variants. Seed-Coder contributes to promote the evolution of open code models through…
Used dataset for fine-tuning - sahil2801/CodeAlpaca-20k - m-a-p/CodeFeedback-Filtered-Instruction
Authors: Erik Nijkamp\ , Hiroaki Hayashi\ , Yingbo Zhou, Caiming Xiong
Authors: Erik Nijkamp\ , Hiroaki Hayashi\ , Yingbo Zhou, Caiming Xiong
CodeGen is a family of autoregressive language models for program synthesis from the paper: A Conversational Paradigm for Program Synthesis by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong. The models are originally releas…
Introduction We are thrilled to introduce Stable-DiffCoder, which is a strong code diffusion large language model. Built directly on the Seed-Coder architecture, data, and training pipeline, it introduces a block diffusion continual pretraining (CPT) stage with a tailored warmup…
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
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