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Independent publisher

I32

Pacific-i64

Complexity architecture by me

Models in Library1
Datasets in Library0
Models on Hugging Face14
Followers15

Compare the published evidence

This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

TR-HASH-MoE-1B-70B-Agentic-Pretraining

I32

Pretraining in progress: 1.01B parameters, 8 routed experts (top-2), a shared branch, 16K context and a 32K tokenizer. Target: approximately 70B tokens. This is not an instruction-tuned model. latest.json identifies the latest verified, resumable checkpoint. The repository retains the three latest regular checkpoints plus the latest interruption checkpoint, at most four snapshots. Old checkpoint history is purged automatically. Checkpoints include distributed model and optimizer state. Consolidated inference weights will be published at the root after training completes.

Open weights other 16,384 tokens complexity