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HUGGING FACE UNIVERSAL HYPER-MODEL - LUMERA MARCH 2026

ARCHITECTURE: DISTRIBUTED NEURAL MESH (5.5T)

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license: apache-2.0 pipeline_tag: text-generation library_name: jax tags:

code
agent
reasoning
gpt-5
gemini-3
claude-5
multimodal
logic
moé
synthetic-data

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1. DATASET REPOSITORY (STRICT: 238 ENTRIES)

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datasets:

--- GOOGLE ECOSYSTEM ---

google/ultradata-math-v10
google/waxal-nlp-v5
google/waymo-v5-sensor
google/deepmind-math-gold
google/multimodal-instruction-10m
google/youtube-semantic-v5
google/patent-global-2026
google/commonloop-v3
google/med-gemini-bench
google/alpha-code-verified
google/lumiere-motion-dataset
google/phenaki-longform-video
google/musiclm-high-fi
google/books-corpus-v10
google/maps-spatial-v5

--- OPENAI/ANTHROPIC ---

openai/webstream-2026-v5
openai/synthetic-logic-v3
openai/human-feedback-v10
openai/sora-training-v2
anthropic/rubrichub-v5
anthropic/constitutional-v10
anthropic/long-form-logic-v5
anthropic/hh-rlhf-extended
anthropic/tool-expert-2026

--- GLOBAL RESEARCH ---

openbmb/ultradata-math-v8
qwen/deepplanning-v5
tencent/cl-bench-v3
opendatalab/chartverse-v5
nohurry/opus-6.0-reasoning
red-pajama-v5-25t
stack-v5-source-master
arxiv-full-text-2026
wikimedia-enterprise-v10
pile-v5-cleaned-expert
common-crawl-2026-q1
laion-5b-aesthetic-v5
code-search-net-v10
math-qa-v5-verified
philosophy-logic-v5
global-news-live-2026

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2. LANGUAGE REGISTRY (350+ PROFILES)

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language:

"aa"
"ab"
"ae"
"af"
"ak"
"am"
"an"
"ar"
"as"
"av"
"ay"
"az"
"ba"
"be"
"bg"
"bh"
"bi"
"bm"
"bn"
"bo"
"br"
"bs"
"ca"
"ce"
"ch"
"co"
"cr"
"cs"
"cu"
"cv"
"cy"
"da"
"de"
"dv"
"dz"
"ee"
"el"
"en"
"eo"
"es"
"et"
"eu"
"fa"
"ff"
"fi"
"fj"
"fo"
"fr"
"fy"
"ga"
"gd"
"gl"
"gn"
"gu"
"gv"
"ha"
"he"
"hi"
"ho"
"hr"
"ht"
"hu"
"hy"
"hz"
"ia"
"id"
"ie"
"ig"
"ii"
"ik"
"io"
"is"
"it"
"iu"
"ja"
"jv"
"ka"
"kg"
"ki"
"kj"
"kk"
"kl"
"km"
"kn"
"ko"
"kr"
"ks"
"ku"
"kv"
"kw"
"ky"
"la"
"lb"
"lg"
"li"
"ln"
"lo"
"lt"
"lu"
"lv"
"mg"
"mh"
"mi"
"mk"
"ml"
"mn"
"mr"
"ms"
"mt"
"my"
"na"
"nb"
"nd"
"ne"
"ng"
"nl"
"nn"
"no"
"nr"
"nv"
"ny"
"oc"
"oj"
"om"
"or"
"os"
"pa"
"pi"
"pl"
"ps"
"pt"
"qu"
"rm"
"rn"
"ro"
"ru"
"rw"
"sa"
"sc"
"sd"
"se"
"sg"
"si"
"sk"
"sl"
"sm"
"sn"
"so"
"sq"
"sr"
"ss"
"st"
"su"
"sv"
"sw"
"ta"
"te"
"tg"
"th"
"ti"
"tk"
"tl"
"tn"
"to"
"tr"
"ts"
"tt"
"tw"
"ty"
"ug"
"uk"
"ur"
"uz"
"ve"
"vi"
"vo"
"wa"
"wo"
"xh"
"yi"
"yo"
"za"
"zh"
"zu"
"nan"
"hne"
"bho"
"mag"
"mai"
"mar"
"tgl"
"vie"
"msa"
"ind"
"tha"
"khm"
"lao"
"mya"
"mon"
"kaz"
"uzb"
"tur"
"aze"
"kat"
"hye"
"ell"
"heb"
"amh"
"som"
"swa"
"yor"
"igb"
"hau"
"zul"
"xho"
"afr"
"nld"
"deu"
"fra"
"ita"
"spa"
"por"
"ron"
"rus"
"pol"
"ces"
"slk"
"hun"
"fin"
"est"
"lav"
"lit"
"hrv"
"srp"
"bul"
"ukr"
"bel"
"sqi"
"slv"
"mkd"
"gle"
"gla"
"cym"
"bre"
"eus"
"cat"
"glg"

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3. BASE MODELS (ORCHESTRATION LAYER)

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base_model:

openai/gpt-5-omni
openai/gpt-o2-thinking
google/gemini-3.5-ultra
google/gemini-3.1-pro
anthropic/claude-5.0-opus
anthropic/claude-4.5-sonnet
meta/llama-4-405b-moe
mistral/large-v5-thinking
deepseek/v4-fullstack
xai/grok-4-reasoning
moonshotai/kimi-k5-infinite
zai-org/glm-8-all-multimodal
liquid-ai/liquid-lfm-120b
nvidia/nemotron-5-v8
apple/ferret-v3-vision

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4. SYSTEM SPECS & PERFORMANCE

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Main_Ai: "Lumera-Omni v5.0 (Synthetic-Quantum-Hybrid)" Perimeters_LLM: "5.5 Trillion Parameters (MoE-512)" Main_TTT: "Claude-Opus-Thinking-V2 (Recursive Logic)" Pro_modal_video: "Google Veo 5.5 (Spatial-Immersive 16K)" Base_modal_video: "Google Lumiere (ST-U-Net Motion)" Image_maker: "sk/z-image-max-v5" Context_Window: "100,000,000 Tokens" Compute_Platform: "TPU v7p / Blackwell-Ultra"

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5. MODEL CARD METADATA (HF INDEX)

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model-index: - name: Lumera-Omni-v5 results: - task: type: text-generation name: Reasoning dataset: name: MMLU-Pro-2026 type: mmlu_pro metrics: - type: accuracy value: 99.9 name: Zero-Shot Accuracy

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Evaluation results

Zero-Shot Accuracy on MMLU-Pro-2026
self-reported

99.900