THOR-LM-1B is a ~915 Million parameter modern autoregressive transformer pre-trained from scratch on high-purity FineWeb-Edu tokens, optimized exclusively with THOR (Tempered High-velocity Orthogonal Representation). - Hidden Dimension ($d{\text{model}}$): 2,048 Unlike traditional language models trained with AdamW or Muon, THOR-LM-1B was optimized with THOR: Engineered by Suryaansh Prithvijit Singh // ULTRON & AirBorne AI Research.
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Suryaansh Prithvijit Singh
Ultron28
Models in Library2
Datasets in Library0
Models on Hugging Face1
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Published tasks: Time series forecasting.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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Models
Engineered & Architected by Suryaansh Prithvijit Singh (@Ultron28 / @Ultron09) The ULTRON Financial Conformer (1.189B) is a large-scale foundation model specifically designed to ingest raw minute-level OHLCV candlestick time series across liquid US equities and generate multi-horizon continuous returns and directional probability forecasts. Unlike conventional time-series transformers (e.g. PatchTST, Chronos, TimesFM) that treat financial candlesticks as 1D scalar sequences, this architecture treats the microstructure as a continuous multi-scale physical manifold. It combines: 1. 6-Scale Temporal Inception Tokenizer: Continuous 1D convolutions spanning $[3\text{m}, 7\text{m}, 15\text{m}…