InCoder-32B: Code Foundation Model for Industrial Scenarios
Recent code large language models have achieved remarkable progress on general programming tasks. Nevertheless, their performance degrades significantly in industrial scenarios that require reasoning about hardware semantics, specialized language constructs, and strict resource constraints. To address these challenges, we introduce InCoder-32B (Industrial-Coder-32B), the first 32B-parameter code foundation model unifying code intelligence across chip design, GPU kernel optimization, embedded systems, compiler optimization, and 3D modeling. By adopting an efficient architecture, we train InCoder-32B from scratch with general code pre-training, curated industrial code annealing, mid-trainin...
| Authors | Jian Yang, Wei Zhang, Jiajun Wu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 March 2026 |
| Last updated at source | 31 March 2026 |
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- Multilingual-Multimodal-NLP/IndustrialCoderModel · cited by
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