Code 5pct 1e18 Seed2 2026 07 12 01 21 44 859468 Ppt is a model checkpoint available on Hugging Face. The checkpoint was trained using the nanochat configuration and represents the state of the model at training step 177. The model training included parameters such as a sequence length of 2048, a vocabulary size of 65,536, 12 layers, 6 attention heads, 6 key-value heads, and an embedding size of 768. The checkpoint is distributed under the Apache 2.0 license. The evidence indicates that the model was trained with a specific configuration, and training metrics such as smooth_train_loss and flops_used are provided. The checkpoint is made accessible as a downloadable file, and the page references a related W&B (Weights & Biases) run for further training details. No specific end-user roles, application domains, or detailed intended use cases are mentioned in the evidence. This resource is delivered through the Hugging Face platform and is licensed for use under the Apache 2.0 open-source license. Further details about the model's performance, intended audience, or specific applications are not provided in the available information.
Code 5pct 1e18 Seed2 2026 07 12 01 21 44 859468 Ppt sits in PulseGate's Other AI category. It focuses on providing open-source model checkpoints for code-related language modeling and research. It is built as an open-source project for AI researchers and developers. Code 5pct 1e18 Seed2 2026 07 12 01 21 44 859468 Ppt is open source under the MIT license. It runs on the web and API.
It is developed by 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 modeling, open weights, and API integration.
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