ByteDance's Cudallm 8B is a chat-based language model specifically designed for generating high-performance and syntactically correct CUDA kernels, exceling at assisting developers in writing and optimizing CUDA code for scientific computing and machine learning workloads. With a context window of 40,960 tokens, it has undergone a two-stage training process to master parallel programming complexities for GPUs.
Input
Output
Context
41K
Max Output
-
Parameters
8.2B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
Automatically route workloads to the right model for every task, every time.