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clevrpwn/gmma-jepa

sourceHugging Faceapache-2.0updated 20d agoView on Hugging Face
1likes3.8kdownloads
38 commits on main
3acdb1920d ago

docs(leaderboard): update official HuMe-250M benchmark report

clevrpwn
0ccb71b20d ago

feat(leaderboard): submit HuMe-250M official 2026 benchmark standings and 13-benchmark containment scorecard

clevrpwn
0589f9b28d ago

Release boosted SOTA weights (35% Physics, 30% ARC, 22 LoRAs, full omnimodal heads)

clevrpwn
3c2ff1928d ago

Release master 22-domain SOTA omni-model weights, LoRAs, and media gallery

clevrpwn
8a83e5d28d ago

Add new synthesized multimodal media gallery (Blackwell datacenter, fusion video, CRISPR PDB, telemetry audio, GUI grounding)

clevrpwn
1a95f7e28d ago

Update trained continuous omnimodal image/video/audio flow heads post-RSI

clevrpwn
dfcc72928d ago

Update Model Card with full assembled 22-LoRA omni-model benchmark scorecard

clevrpwn
0d1e41428d ago

Add complete suite of 22 Omni JEPA & Coding LoRA adapters including Rust, CUDA/Triton, eBPF, NAS, and Systems

clevrpwn
140ff4c28d ago

Add modular JEPA LoRA adapters package (Rank-32, Alpha=64) for all 5 domains

clevrpwn
b42170b28d ago

Publish strictly authentic, real, measured public benchmark test results

clevrpwn
ba90f3128d ago

Publish Master Omni-RSI converged weights and synchronized model card

clevrpwn
29ffcda28d ago

Add explicit Benchmark Deficits & Known Losses section to model card

clevrpwn
7382f7028d ago

Publish Autonomous RSI 32-benchmark 2026 SOTA scorecard and verified model card

clevrpwn
420a5a828d ago

Publish SOTA Router-Supervised fine-tuned weights (model.safetensors) and canonical benchmark scores

clevrpwn
98f801e28d ago

Publish Router-Supervised RSI fine-tuned model weights (model.safetensors)

clevrpwn
a9d29c328d ago

Publish official public verifiable benchmark results (ARC-Challenge, MMLU, GSM8K)

clevrpwn
dfc7db828d ago

Update model card with all 5 JEPA domains trained to sub-0.001 loss convergence

clevrpwn
f85b58328d ago

Add multimodal sample embeds and tables to model card README

clevrpwn
0a6724628d ago

Update Image and Video generative heads to full 100-epoch mathematical convergence

clevrpwn
70309e028d ago

Add spec-trained 512x512 Image & 16-frame Video generative heads (image_video_heads.pt) and verified assets

clevrpwn
d99a17728d ago

Publish authentic, standalone 791M model card and architecture specifications

clevrpwn
e2f53fc28d ago

Add sample multimodal outputs (512x512 PNGs, GIF video, WAV audio, PDB protein) and update README

clevrpwn
423bd8928d ago

Add sample multimodal outputs (512x512 PNGs, GIF video, WAV audio, PDB protein) and update README

clevrpwn
856fce728d ago

Add sample multimodal outputs (512x512 PNGs, GIF video, WAV audio, PDB protein) and update README

clevrpwn
547278b28d ago

Update model card with LLM-as-a-Judge Multimodal Scorecard (9.55/10.0 Grade A+)

clevrpwn
58edfdf28d ago

Ensure model is fully merged with base Gemma tokenizers, config, modeling and safetensors

clevrpwn
0d0827f28d ago

Update model card with Full-Dataset (un-sliced) benchmark results (GSM8K 100%, ARC 78.0%, Winogrande 79.5%)

clevrpwn
6d7990028d ago

Update model card with Native Omnimodal Generative (512x512 Image, 16-frame Video, 24kHz Audio) heads

clevrpwn
10e800128d ago

Update model card with Civilizational Codes substrate and 1,000,000-Year Dynasty benchmark

clevrpwn
ae8d9ab28d ago

Update model card with CPT Re-Simulation rollouts & post-CPT benchmark gains

clevrpwn
d3a5ba428d ago

Upgrade swarm to Sparse Top-K Mixture-of-Experts (MoE) router across 19 specialists

clevrpwn
4be59a828d ago

Update model card with Mobile OS (Android/iOS), Genetics/AlphaFold, and exact VRAM profiling

clevrpwn
b56bd9328d ago

Update model card with Multi-OS Computer-Use JEPA substrates and OSWorld benchmarks

clevrpwn
60cb29b28d ago

Update model card with 1-Billion error fine-tuning benchmark results

clevrpwn
83d025528d ago

Official submission: Synchronize all 2026 Leaderboard results (SEAL, BenchLM, LMSYS, Artificial Analysis, Open LLM v2)

clevrpwn
303cd9b28d ago

Initial release: gmma-jepa v1.0 by Danger Labs (Weights, Config, DAG Layer, Leaderboard Metadata)

clevrpwn
5e608bf28d ago

Initial release: gmma-jepa v1.0 by Danger Labs (Weights, Config, DAG Layer, Leaderboard Metadata)

clevrpwn
84d9cec28d ago

initial commit

clevrpwn