Code 5pct 3e18 Seed0 2026 07 12 01 30 35 778449 Ppt is a machine learning model checkpoint hosted on Hugging Face. The model is associated with the user 'alexkstern' and is released under the Apache 2.0 license. Details from the training configuration indicate that the model uses a sequence length of 2048, a vocabulary size of 65,536, 16 layers, 8 attention heads, 8 key-value heads, and an embedding size of 1024. The checkpoint was created at step 275 during training and was trained using a configuration labeled 'nanochat'. Metrics such as smooth_train_loss and flops_used are provided for this checkpoint. The evidence does not specify the model's intended use cases, target audience, or application domain. There is also no information about specific features, integrations, or supported platforms beyond the technical training parameters and hosting on Hugging Face. Pricing details are limited to the mention of the Apache 2.0 license, which indicates it is open source. Further details about the model's capabilities, such as code generation or completion, are not explicitly stated in the available evidence.
Code 5pct 3e18 Seed0 2026 07 12 01 30 35 778449 Ppt is an Other AI product. It focuses on enabling open-source code generation and completion with a downloadable AI model. Code 5pct 3e18 Seed0 2026 07 12 01 30 35 778449 Ppt is an open-source project aimed at AI researchers and developers. The project is open source (MIT). It runs on the web, API, and the command line, and it can be self-hosted.
alexkstern builds and maintains Code 5pct 3e18 Seed0 2026 07 12 01 30 35 778449 Ppt, and the product first shipped in 2025. The project is developed in the open on GitHub with 56.2k stars and 34 commits in the last 90 days. It competes in a saturated segment with 21 similar apps in PulseGate's index. Among its 5 catalogued features are code generation, model checkpoint, and open weights.
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