Code 1pct 3e18 Seed1 2026 07 11 21 38 08 841300 Pt is a machine learning model checkpoint hosted on Hugging Face. The checkpoint was trained using a configuration that includes a sequence length of 2048, a vocabulary size of 65,536, 15 layers, 8 attention heads, 8 key-value heads, and an embedding size of 1024. The training process involved the use of the 'nanochat' setup, and the checkpoint was saved at step 5,735. The training utilized a total of approximately 2.97e+18 floating point operations, with a reported smooth training loss of 2.91 at the checkpoint. The model and its associated files are distributed under the Apache 2.0 license. The evidence does not specify the intended application domain for this model checkpoint, such as whether it is designed for code generation, text processing, or another specific task. Details about target users, deployment methods, or integration options are not provided. Only technical training parameters and licensing information are explicitly stated. This checkpoint is available for download and use through the Hugging Face platform, under the terms of the Apache 2.0 open-source license.
In the Other AI space, Code 1pct 3e18 Seed1 2026 07 11 21 38 08 841300 Pt takes a focused approach. It focuses on providing an open-source checkpoint for code and text generation to support AI research and development. Code 1pct 3e18 Seed1 2026 07 11 21 38 08 841300 Pt is an open-source project aimed at AI researchers and developers. The project is open source (MIT). The product ships for the web, the command line, and API, and it can be self-hosted.
Behind Code 1pct 3e18 Seed1 2026 07 11 21 38 08 841300 Pt is alexkstern, 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. PulseGate's similarity index places it among 9 comparable tools. Among its 5 catalogued features are code generation, text generation, and open weights.
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