Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt is a machine learning model checkpoint available on Hugging Face. The model was trained using a configuration that includes a sequence length of 2048, a vocabulary size of 65,536, 20 layers, 10 attention heads, and an embedding size of 1280. Training was conducted with a component referred to as nanochat, and the checkpoint corresponds to step 477 in the training process. The model is distributed under the Apache 2.0 license. Details provided on the model's page include various training metrics such as smooth training loss, minimum objective, floating point operations used, and total training time. The evidence does not specify the intended use cases, target audience, or particular tasks the model is designed for. There is also no information about integrations, supported platforms, or pricing beyond the open-source Apache 2.0 license. Based on the available information, Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt is a publicly accessible model checkpoint with technical specifications and training details, but further specifics about its applications or capabilities are not provided.
Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt sits in PulseGate's Other AI category. Allowing developers to run and fine-tune a code generation AI model locally for programming tasks. It is built as an open-source project for AI researchers and developers. Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt is open source under the MIT license. Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt is available on the web and the command line, and it can be self-hosted.
Behind Code 5pct 9e18 Seed0 2026 07 12 02 30 24 691684 Ppt is alexkstern, and the product first shipped in 2025. Development happens publicly on GitHub with 56.2k stars and 34 commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable apps. Key capabilities include code generation, model checkpoint, and local inference.
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