14.8B Total Parameters · 3.8B Active Parameters / Token · Scaled on Google Cloud TPU v5e-8 J.A.R.V.I.S. Titan 14.8B MoE-M4 is an autoregressive reasoning model that combines a sparse Mixture-of-Experts (MoE) transformer with an always-on recurrent neural memory architecture (Titans paradigm). The model was activated from dhanesh-hf/Jarvis-Titan-M4-Activated and subsequently trained using Critic-Free Group Relative Policy Optimization (GRPO) with Reinforcement Learning from Verifiable Rewards (RLVR) on Google Cloud TPU v5e-8 hardware. Standard transformers encounter memory-capacity tradeoffs during extended mathematical and code derivations: retaining all prior key-value pairs incurs O(N)…
Independent publisher
Dhanesh Singh
dhanesh-hf
Models in Library1
Datasets in Library0
Models on Hugging Face16
Followers2
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.