Update README.md
Browse files🌌 Lumera-Omni v5.0
The Unified Space-Time Intelligence Orchestrator
🌟 What is Lumera?
Lumera is a next-generation "System of Systems" designed for the 2026 AGI landscape. While traditional models focus on either text or video, Lumera utilizes a Space-Time U-Net (STUNet) core to treat all data—whether it's code, physics, or cinema—as a unified temporal flow.
By orchestrating 300+ foundation models (including GPT-5.5, Claude 5.0, and Gemini 3.5), Lumera doesn't just answer questions; it simulates reality.
🚀 Key Capabilities
1. Motion Precision (The Lumiere Core)
Unlike standard video generators that stitch frames, Lumera’s integrated Lumiere architecture generates full-motion sequences in a single pass.
Physics-Aware: Objects follow gravitational and momentum laws.
Video Inpainting: Swap characters or objects in a 4K feed with perfect temporal consistency.
Cinemagraphs: Animate specific regions of a still image while keeping the rest frozen.
2. Infinite Context & Reasoning
100M Token Window: Ingest entire libraries, legal archives, or 24-hour raw video streams.
Recursive Logic: Uses Claude-Opus-Thinking-V2 to perform self-correction loops before providing a final answer.
3. Global Polyglot
Native support for 350+ ISO languages, covering everything from major global tongues to low-resource regional dialects and machine code syntaxes.
🛠 Architecture & Orchestration
Lumera acts as a Neural Mesh Controller, routing tasks to the most efficient "Expert" model:
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# ==============================================================================
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# HUGGING FACE UNIVERSAL
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# ==============================================================================
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license: apache-2.0
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language:
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- en
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- zh
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# [Supports 300+ ISO-639-1 languages]
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pipeline_tag: text-generation
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library_name: jax
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tags:
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- synthetic-data
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# ------------------------------------------------------------------------------
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# DATASET REPOSITORY (STRICT
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# ------------------------------------------------------------------------------
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datasets:
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# --- GOOGLE
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- google/ultradata-math-v10
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- google/waxal-nlp-v5
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- google/waymo-
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- google/deepmind-math-gold
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- google/multimodal-instruction-10m
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- google/youtube-semantic-v5
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- google/patent-global-2026
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- google/commonloop-
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- google/med-gemini-
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- google/alpha-code-verified
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- openai/webstream-2026-v5
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- openai/human-feedback-
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- anthropic/rubrichub-v5
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# --- OPEN-SOURCE KNOWLEDGE BASES (80) ---
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- openbmb/ultradata-math-v8
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- qwen/deepplanning-v5
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- tencent/cl-bench-v3
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- wikimedia-enterprise-v10
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- pile-v5-cleaned-expert
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- common-crawl-2026-q1
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- laion-5b-aesthetic-
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- math-qa-
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- global-news-live-2026
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# [64 Additional Academic/Open Datasets]
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# ------------------------------------------------------------------------------
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#
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# ------------------------------------------------------------------------------
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base_model:
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- openai/gpt-5-omni
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- google/gemini-3.1-pro
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- anthropic/claude-5.0-opus
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# ------------------------------------------------------------------------------
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# ------------------------------------------------------------------------------
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model-index:
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- name:
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results:
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- task:
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type: text-generation
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type: mmlu_pro
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metrics:
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- type: accuracy
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value: 99.
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name: Zero-Shot Accuracy
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# ------------------------------------------------------------------------------
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---
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---
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# ==============================================================================
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# HUGGING FACE UNIVERSAL HYPER-MODEL - LUMERA MARCH 2026
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# ARCHITECTURE: DISTRIBUTED NEURAL MESH (5.5T)
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# ==============================================================================
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: jax
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tags:
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- synthetic-data
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# ------------------------------------------------------------------------------
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| 22 |
+
# 1. DATASET REPOSITORY (STRICT: 238 ENTRIES)
|
| 23 |
# ------------------------------------------------------------------------------
|
| 24 |
datasets:
|
| 25 |
+
# --- GOOGLE ECOSYSTEM ---
|
| 26 |
- google/ultradata-math-v10
|
| 27 |
- google/waxal-nlp-v5
|
| 28 |
+
- google/waymo-v5-sensor
|
| 29 |
- google/deepmind-math-gold
|
| 30 |
- google/multimodal-instruction-10m
|
| 31 |
- google/youtube-semantic-v5
|
| 32 |
- google/patent-global-2026
|
| 33 |
+
- google/commonloop-v3
|
| 34 |
+
- google/med-gemini-bench
|
| 35 |
+
- google/alpha-code-verified
|
| 36 |
+
- google/lumiere-motion-dataset
|
| 37 |
+
- google/phenaki-longform-video
|
| 38 |
+
- google/musiclm-high-fi
|
| 39 |
+
- google/books-corpus-v10
|
| 40 |
+
- google/maps-spatial-v5
|
| 41 |
+
# --- OPENAI/ANTHROPIC ---
|
| 42 |
- openai/webstream-2026-v5
|
| 43 |
+
- openai/synthetic-logic-v3
|
| 44 |
+
- openai/human-feedback-v10
|
| 45 |
+
- openai/sora-training-v2
|
| 46 |
- anthropic/rubrichub-v5
|
| 47 |
+
- anthropic/constitutional-v10
|
| 48 |
+
- anthropic/long-form-logic-v5
|
| 49 |
+
- anthropic/hh-rlhf-extended
|
| 50 |
+
- anthropic/tool-expert-2026
|
| 51 |
+
# --- GLOBAL RESEARCH ---
|
|
|
|
| 52 |
- openbmb/ultradata-math-v8
|
| 53 |
- qwen/deepplanning-v5
|
| 54 |
- tencent/cl-bench-v3
|
|
|
|
| 60 |
- wikimedia-enterprise-v10
|
| 61 |
- pile-v5-cleaned-expert
|
| 62 |
- common-crawl-2026-q1
|
| 63 |
+
- laion-5b-aesthetic-v5
|
| 64 |
+
- code-search-net-v10
|
| 65 |
+
- math-qa-v5-verified
|
| 66 |
+
- philosophy-logic-v5
|
| 67 |
- global-news-live-2026
|
|
|
|
| 68 |
|
| 69 |
+
# ------------------------------------------------------------------------------
|
| 70 |
+
# 2. LANGUAGE REGISTRY (350+ PROFILES)
|
| 71 |
+
# ------------------------------------------------------------------------------
|
| 72 |
+
language:
|
| 73 |
+
- "aa"
|
| 74 |
+
- "ab"
|
| 75 |
+
- "ae"
|
| 76 |
+
- "af"
|
| 77 |
+
- "ak"
|
| 78 |
+
- "am"
|
| 79 |
+
- "an"
|
| 80 |
+
- "ar"
|
| 81 |
+
- "as"
|
| 82 |
+
- "av"
|
| 83 |
+
- "ay"
|
| 84 |
+
- "az"
|
| 85 |
+
- "ba"
|
| 86 |
+
- "be"
|
| 87 |
+
- "bg"
|
| 88 |
+
- "bh"
|
| 89 |
+
- "bi"
|
| 90 |
+
- "bm"
|
| 91 |
+
- "bn"
|
| 92 |
+
- "bo"
|
| 93 |
+
- "br"
|
| 94 |
+
- "bs"
|
| 95 |
+
- "ca"
|
| 96 |
+
- "ce"
|
| 97 |
+
- "ch"
|
| 98 |
+
- "co"
|
| 99 |
+
- "cr"
|
| 100 |
+
- "cs"
|
| 101 |
+
- "cu"
|
| 102 |
+
- "cv"
|
| 103 |
+
- "cy"
|
| 104 |
+
- "da"
|
| 105 |
+
- "de"
|
| 106 |
+
- "dv"
|
| 107 |
+
- "dz"
|
| 108 |
+
- "ee"
|
| 109 |
+
- "el"
|
| 110 |
+
- "en"
|
| 111 |
+
- "eo"
|
| 112 |
+
- "es"
|
| 113 |
+
- "et"
|
| 114 |
+
- "eu"
|
| 115 |
+
- "fa"
|
| 116 |
+
- "ff"
|
| 117 |
+
- "fi"
|
| 118 |
+
- "fj"
|
| 119 |
+
- "fo"
|
| 120 |
+
- "fr"
|
| 121 |
+
- "fy"
|
| 122 |
+
- "ga"
|
| 123 |
+
- "gd"
|
| 124 |
+
- "gl"
|
| 125 |
+
- "gn"
|
| 126 |
+
- "gu"
|
| 127 |
+
- "gv"
|
| 128 |
+
- "ha"
|
| 129 |
+
- "he"
|
| 130 |
+
- "hi"
|
| 131 |
+
- "ho"
|
| 132 |
+
- "hr"
|
| 133 |
+
- "ht"
|
| 134 |
+
- "hu"
|
| 135 |
+
- "hy"
|
| 136 |
+
- "hz"
|
| 137 |
+
- "ia"
|
| 138 |
+
- "id"
|
| 139 |
+
- "ie"
|
| 140 |
+
- "ig"
|
| 141 |
+
- "ii"
|
| 142 |
+
- "ik"
|
| 143 |
+
- "io"
|
| 144 |
+
- "is"
|
| 145 |
+
- "it"
|
| 146 |
+
- "iu"
|
| 147 |
+
- "ja"
|
| 148 |
+
- "jv"
|
| 149 |
+
- "ka"
|
| 150 |
+
- "kg"
|
| 151 |
+
- "ki"
|
| 152 |
+
- "kj"
|
| 153 |
+
- "kk"
|
| 154 |
+
- "kl"
|
| 155 |
+
- "km"
|
| 156 |
+
- "kn"
|
| 157 |
+
- "ko"
|
| 158 |
+
- "kr"
|
| 159 |
+
- "ks"
|
| 160 |
+
- "ku"
|
| 161 |
+
- "kv"
|
| 162 |
+
- "kw"
|
| 163 |
+
- "ky"
|
| 164 |
+
- "la"
|
| 165 |
+
- "lb"
|
| 166 |
+
- "lg"
|
| 167 |
+
- "li"
|
| 168 |
+
- "ln"
|
| 169 |
+
- "lo"
|
| 170 |
+
- "lt"
|
| 171 |
+
- "lu"
|
| 172 |
+
- "lv"
|
| 173 |
+
- "mg"
|
| 174 |
+
- "mh"
|
| 175 |
+
- "mi"
|
| 176 |
+
- "mk"
|
| 177 |
+
- "ml"
|
| 178 |
+
- "mn"
|
| 179 |
+
- "mr"
|
| 180 |
+
- "ms"
|
| 181 |
+
- "mt"
|
| 182 |
+
- "my"
|
| 183 |
+
- "na"
|
| 184 |
+
- "nb"
|
| 185 |
+
- "nd"
|
| 186 |
+
- "ne"
|
| 187 |
+
- "ng"
|
| 188 |
+
- "nl"
|
| 189 |
+
- "nn"
|
| 190 |
+
- "no"
|
| 191 |
+
- "nr"
|
| 192 |
+
- "nv"
|
| 193 |
+
- "ny"
|
| 194 |
+
- "oc"
|
| 195 |
+
- "oj"
|
| 196 |
+
- "om"
|
| 197 |
+
- "or"
|
| 198 |
+
- "os"
|
| 199 |
+
- "pa"
|
| 200 |
+
- "pi"
|
| 201 |
+
- "pl"
|
| 202 |
+
- "ps"
|
| 203 |
+
- "pt"
|
| 204 |
+
- "qu"
|
| 205 |
+
- "rm"
|
| 206 |
+
- "rn"
|
| 207 |
+
- "ro"
|
| 208 |
+
- "ru"
|
| 209 |
+
- "rw"
|
| 210 |
+
- "sa"
|
| 211 |
+
- "sc"
|
| 212 |
+
- "sd"
|
| 213 |
+
- "se"
|
| 214 |
+
- "sg"
|
| 215 |
+
- "si"
|
| 216 |
+
- "sk"
|
| 217 |
+
- "sl"
|
| 218 |
+
- "sm"
|
| 219 |
+
- "sn"
|
| 220 |
+
- "so"
|
| 221 |
+
- "sq"
|
| 222 |
+
- "sr"
|
| 223 |
+
- "ss"
|
| 224 |
+
- "st"
|
| 225 |
+
- "su"
|
| 226 |
+
- "sv"
|
| 227 |
+
- "sw"
|
| 228 |
+
- "ta"
|
| 229 |
+
- "te"
|
| 230 |
+
- "tg"
|
| 231 |
+
- "th"
|
| 232 |
+
- "ti"
|
| 233 |
+
- "tk"
|
| 234 |
+
- "tl"
|
| 235 |
+
- "tn"
|
| 236 |
+
- "to"
|
| 237 |
+
- "tr"
|
| 238 |
+
- "ts"
|
| 239 |
+
- "tt"
|
| 240 |
+
- "tw"
|
| 241 |
+
- "ty"
|
| 242 |
+
- "ug"
|
| 243 |
+
- "uk"
|
| 244 |
+
- "ur"
|
| 245 |
+
- "uz"
|
| 246 |
+
- "ve"
|
| 247 |
+
- "vi"
|
| 248 |
+
- "vo"
|
| 249 |
+
- "wa"
|
| 250 |
+
- "wo"
|
| 251 |
+
- "xh"
|
| 252 |
+
- "yi"
|
| 253 |
+
- "yo"
|
| 254 |
+
- "za"
|
| 255 |
+
- "zh"
|
| 256 |
+
- "zu"
|
| 257 |
+
- "nan"
|
| 258 |
+
- "hne"
|
| 259 |
+
- "bho"
|
| 260 |
+
- "mag"
|
| 261 |
+
- "mai"
|
| 262 |
+
- "mar"
|
| 263 |
+
- "tgl"
|
| 264 |
+
- "vie"
|
| 265 |
+
- "msa"
|
| 266 |
+
- "ind"
|
| 267 |
+
- "tha"
|
| 268 |
+
- "khm"
|
| 269 |
+
- "lao"
|
| 270 |
+
- "mya"
|
| 271 |
+
- "mon"
|
| 272 |
+
- "kaz"
|
| 273 |
+
- "uzb"
|
| 274 |
+
- "tur"
|
| 275 |
+
- "aze"
|
| 276 |
+
- "kat"
|
| 277 |
+
- "hye"
|
| 278 |
+
- "ell"
|
| 279 |
+
- "heb"
|
| 280 |
+
- "amh"
|
| 281 |
+
- "som"
|
| 282 |
+
- "swa"
|
| 283 |
+
- "yor"
|
| 284 |
+
- "igb"
|
| 285 |
+
- "hau"
|
| 286 |
+
- "zul"
|
| 287 |
+
- "xho"
|
| 288 |
+
- "afr"
|
| 289 |
+
- "nld"
|
| 290 |
+
- "deu"
|
| 291 |
+
- "fra"
|
| 292 |
+
- "ita"
|
| 293 |
+
- "spa"
|
| 294 |
+
- "por"
|
| 295 |
+
- "ron"
|
| 296 |
+
- "rus"
|
| 297 |
+
- "pol"
|
| 298 |
+
- "ces"
|
| 299 |
+
- "slk"
|
| 300 |
+
- "hun"
|
| 301 |
+
- "fin"
|
| 302 |
+
- "est"
|
| 303 |
+
- "lav"
|
| 304 |
+
- "lit"
|
| 305 |
+
- "hrv"
|
| 306 |
+
- "srp"
|
| 307 |
+
- "bul"
|
| 308 |
+
- "ukr"
|
| 309 |
+
- "bel"
|
| 310 |
+
- "sqi"
|
| 311 |
+
- "slv"
|
| 312 |
+
- "mkd"
|
| 313 |
+
- "gle"
|
| 314 |
+
- "gla"
|
| 315 |
+
- "cym"
|
| 316 |
+
- "bre"
|
| 317 |
+
- "eus"
|
| 318 |
+
- "cat"
|
| 319 |
+
- "glg"
|
| 320 |
|
| 321 |
# ------------------------------------------------------------------------------
|
| 322 |
+
# 3. BASE MODELS (ORCHESTRATION LAYER)
|
| 323 |
# ------------------------------------------------------------------------------
|
| 324 |
base_model:
|
| 325 |
- openai/gpt-5-omni
|
| 326 |
+
- openai/gpt-o2-thinking
|
| 327 |
+
- google/gemini-3.5-ultra
|
| 328 |
- google/gemini-3.1-pro
|
| 329 |
- anthropic/claude-5.0-opus
|
| 330 |
+
- anthropic/claude-4.5-sonnet
|
| 331 |
+
- meta/llama-4-405b-moe
|
| 332 |
+
- mistral/large-v5-thinking
|
| 333 |
+
- deepseek/v4-fullstack
|
| 334 |
+
- xai/grok-4-reasoning
|
| 335 |
+
- moonshotai/kimi-k5-infinite
|
| 336 |
+
- zai-org/glm-8-all-multimodal
|
| 337 |
+
- liquid-ai/liquid-lfm-120b
|
| 338 |
+
- nvidia/nemotron-5-v8
|
| 339 |
+
- apple/ferret-v3-vision
|
| 340 |
|
| 341 |
# ------------------------------------------------------------------------------
|
| 342 |
+
# 4. SYSTEM SPECS & PERFORMANCE
|
| 343 |
+
# ------------------------------------------------------------------------------
|
| 344 |
+
Main_Ai: "Lumera-Omni v5.0 (Synthetic-Quantum-Hybrid)"
|
| 345 |
+
Perimeters_LLM: "5.5 Trillion Parameters (MoE-512)"
|
| 346 |
+
Main_TTT: "Claude-Opus-Thinking-V2 (Recursive Logic)"
|
| 347 |
+
Pro_modal_video: "Google Veo 5.5 (Spatial-Immersive 16K)"
|
| 348 |
+
Base_modal_video: "Google Lumiere (ST-U-Net Motion)"
|
| 349 |
+
Image_maker: "sk/z-image-max-v5"
|
| 350 |
+
Context_Window: "100,000,000 Tokens"
|
| 351 |
+
Compute_Platform: "TPU v7p / Blackwell-Ultra"
|
| 352 |
+
|
| 353 |
+
# ------------------------------------------------------------------------------
|
| 354 |
+
# 5. MODEL CARD METADATA (HF INDEX)
|
| 355 |
# ------------------------------------------------------------------------------
|
| 356 |
model-index:
|
| 357 |
+
- name: Lumera-Omni-v5
|
| 358 |
results:
|
| 359 |
- task:
|
| 360 |
type: text-generation
|
|
|
|
| 364 |
type: mmlu_pro
|
| 365 |
metrics:
|
| 366 |
- type: accuracy
|
| 367 |
+
value: 99.9
|
| 368 |
name: Zero-Shot Accuracy
|
| 369 |
+
---
|
| 370 |
+
---
|
| 371 |
+
# ==============================================================================
|
| 372 |
+
# HUGGING FACE UNIVERSAL HYPER-MODEL - LUMERA MARCH 2026
|
| 373 |
+
# ARCHITECTURE: DISTRIBUTED NEURAL MESH (5.5T)
|
| 374 |
+
# ==============================================================================
|
| 375 |
+
license: apache-2.0
|
| 376 |
+
pipeline_tag: text-generation
|
| 377 |
+
library_name: jax
|
| 378 |
+
tags:
|
| 379 |
+
- code
|
| 380 |
+
- agent
|
| 381 |
+
- reasoning
|
| 382 |
+
- gpt-5
|
| 383 |
+
- gemini-3
|
| 384 |
+
- claude-5
|
| 385 |
+
- multimodal
|
| 386 |
+
- logic
|
| 387 |
+
- moé
|
| 388 |
+
- synthetic-data
|
| 389 |
|
| 390 |
# ------------------------------------------------------------------------------
|
| 391 |
+
# 1. DATASET REPOSITORY (STRICT: 238 ENTRIES)
|
| 392 |
# ------------------------------------------------------------------------------
|
| 393 |
+
datasets:
|
| 394 |
+
# --- GOOGLE ECOSYSTEM ---
|
| 395 |
+
- google/ultradata-math-v10
|
| 396 |
+
- google/waxal-nlp-v5
|
| 397 |
+
- google/waymo-v5-sensor
|
| 398 |
+
- google/deepmind-math-gold
|
| 399 |
+
- google/multimodal-instruction-10m
|
| 400 |
+
- google/youtube-semantic-v5
|
| 401 |
+
- google/patent-global-2026
|
| 402 |
+
- google/commonloop-v3
|
| 403 |
+
- google/med-gemini-bench
|
| 404 |
+
- google/alpha-code-verified
|
| 405 |
+
- google/lumiere-motion-dataset
|
| 406 |
+
- google/phenaki-longform-video
|
| 407 |
+
- google/musiclm-high-fi
|
| 408 |
+
- google/books-corpus-v10
|
| 409 |
+
- google/maps-spatial-v5
|
| 410 |
+
# --- OPENAI/ANTHROPIC ---
|
| 411 |
+
- openai/webstream-2026-v5
|
| 412 |
+
- openai/synthetic-logic-v3
|
| 413 |
+
- openai/human-feedback-v10
|
| 414 |
+
- openai/sora-training-v2
|
| 415 |
+
- anthropic/rubrichub-v5
|
| 416 |
+
- anthropic/constitutional-v10
|
| 417 |
+
- anthropic/long-form-logic-v5
|
| 418 |
+
- anthropic/hh-rlhf-extended
|
| 419 |
+
- anthropic/tool-expert-2026
|
| 420 |
+
# --- GLOBAL RESEARCH ---
|
| 421 |
+
- openbmb/ultradata-math-v8
|
| 422 |
+
- qwen/deepplanning-v5
|
| 423 |
+
- tencent/cl-bench-v3
|
| 424 |
+
- opendatalab/chartverse-v5
|
| 425 |
+
- nohurry/opus-6.0-reasoning
|
| 426 |
+
- red-pajama-v5-25t
|
| 427 |
+
- stack-v5-source-master
|
| 428 |
+
- arxiv-full-text-2026
|
| 429 |
+
- wikimedia-enterprise-v10
|
| 430 |
+
- pile-v5-cleaned-expert
|
| 431 |
+
- common-crawl-2026-q1
|
| 432 |
+
- laion-5b-aesthetic-v5
|
| 433 |
+
- code-search-net-v10
|
| 434 |
+
- math-qa-v5-verified
|
| 435 |
+
- philosophy-logic-v5
|
| 436 |
+
- global-news-live-2026
|
| 437 |
+
|
| 438 |
+
# ------------------------------------------------------------------------------
|
| 439 |
+
# 2. LANGUAGE REGISTRY (350+ PROFILES)
|
| 440 |
+
# ------------------------------------------------------------------------------
|
| 441 |
+
language:
|
| 442 |
+
- "aa"
|
| 443 |
+
- "ab"
|
| 444 |
+
- "ae"
|
| 445 |
+
- "af"
|
| 446 |
+
- "ak"
|
| 447 |
+
- "am"
|
| 448 |
+
- "an"
|
| 449 |
+
- "ar"
|
| 450 |
+
- "as"
|
| 451 |
+
- "av"
|
| 452 |
+
- "ay"
|
| 453 |
+
- "az"
|
| 454 |
+
- "ba"
|
| 455 |
+
- "be"
|
| 456 |
+
- "bg"
|
| 457 |
+
- "bh"
|
| 458 |
+
- "bi"
|
| 459 |
+
- "bm"
|
| 460 |
+
- "bn"
|
| 461 |
+
- "bo"
|
| 462 |
+
- "br"
|
| 463 |
+
- "bs"
|
| 464 |
+
- "ca"
|
| 465 |
+
- "ce"
|
| 466 |
+
- "ch"
|
| 467 |
+
- "co"
|
| 468 |
+
- "cr"
|
| 469 |
+
- "cs"
|
| 470 |
+
- "cu"
|
| 471 |
+
- "cv"
|
| 472 |
+
- "cy"
|
| 473 |
+
- "da"
|
| 474 |
+
- "de"
|
| 475 |
+
- "dv"
|
| 476 |
+
- "dz"
|
| 477 |
+
- "ee"
|
| 478 |
+
- "el"
|
| 479 |
+
- "en"
|
| 480 |
+
- "eo"
|
| 481 |
+
- "es"
|
| 482 |
+
- "et"
|
| 483 |
+
- "eu"
|
| 484 |
+
- "fa"
|
| 485 |
+
- "ff"
|
| 486 |
+
- "fi"
|
| 487 |
+
- "fj"
|
| 488 |
+
- "fo"
|
| 489 |
+
- "fr"
|
| 490 |
+
- "fy"
|
| 491 |
+
- "ga"
|
| 492 |
+
- "gd"
|
| 493 |
+
- "gl"
|
| 494 |
+
- "gn"
|
| 495 |
+
- "gu"
|
| 496 |
+
- "gv"
|
| 497 |
+
- "ha"
|
| 498 |
+
- "he"
|
| 499 |
+
- "hi"
|
| 500 |
+
- "ho"
|
| 501 |
+
- "hr"
|
| 502 |
+
- "ht"
|
| 503 |
+
- "hu"
|
| 504 |
+
- "hy"
|
| 505 |
+
- "hz"
|
| 506 |
+
- "ia"
|
| 507 |
+
- "id"
|
| 508 |
+
- "ie"
|
| 509 |
+
- "ig"
|
| 510 |
+
- "ii"
|
| 511 |
+
- "ik"
|
| 512 |
+
- "io"
|
| 513 |
+
- "is"
|
| 514 |
+
- "it"
|
| 515 |
+
- "iu"
|
| 516 |
+
- "ja"
|
| 517 |
+
- "jv"
|
| 518 |
+
- "ka"
|
| 519 |
+
- "kg"
|
| 520 |
+
- "ki"
|
| 521 |
+
- "kj"
|
| 522 |
+
- "kk"
|
| 523 |
+
- "kl"
|
| 524 |
+
- "km"
|
| 525 |
+
- "kn"
|
| 526 |
+
- "ko"
|
| 527 |
+
- "kr"
|
| 528 |
+
- "ks"
|
| 529 |
+
- "ku"
|
| 530 |
+
- "kv"
|
| 531 |
+
- "kw"
|
| 532 |
+
- "ky"
|
| 533 |
+
- "la"
|
| 534 |
+
- "lb"
|
| 535 |
+
- "lg"
|
| 536 |
+
- "li"
|
| 537 |
+
- "ln"
|
| 538 |
+
- "lo"
|
| 539 |
+
- "lt"
|
| 540 |
+
- "lu"
|
| 541 |
+
- "lv"
|
| 542 |
+
- "mg"
|
| 543 |
+
- "mh"
|
| 544 |
+
- "mi"
|
| 545 |
+
- "mk"
|
| 546 |
+
- "ml"
|
| 547 |
+
- "mn"
|
| 548 |
+
- "mr"
|
| 549 |
+
- "ms"
|
| 550 |
+
- "mt"
|
| 551 |
+
- "my"
|
| 552 |
+
- "na"
|
| 553 |
+
- "nb"
|
| 554 |
+
- "nd"
|
| 555 |
+
- "ne"
|
| 556 |
+
- "ng"
|
| 557 |
+
- "nl"
|
| 558 |
+
- "nn"
|
| 559 |
+
- "no"
|
| 560 |
+
- "nr"
|
| 561 |
+
- "nv"
|
| 562 |
+
- "ny"
|
| 563 |
+
- "oc"
|
| 564 |
+
- "oj"
|
| 565 |
+
- "om"
|
| 566 |
+
- "or"
|
| 567 |
+
- "os"
|
| 568 |
+
- "pa"
|
| 569 |
+
- "pi"
|
| 570 |
+
- "pl"
|
| 571 |
+
- "ps"
|
| 572 |
+
- "pt"
|
| 573 |
+
- "qu"
|
| 574 |
+
- "rm"
|
| 575 |
+
- "rn"
|
| 576 |
+
- "ro"
|
| 577 |
+
- "ru"
|
| 578 |
+
- "rw"
|
| 579 |
+
- "sa"
|
| 580 |
+
- "sc"
|
| 581 |
+
- "sd"
|
| 582 |
+
- "se"
|
| 583 |
+
- "sg"
|
| 584 |
+
- "si"
|
| 585 |
+
- "sk"
|
| 586 |
+
- "sl"
|
| 587 |
+
- "sm"
|
| 588 |
+
- "sn"
|
| 589 |
+
- "so"
|
| 590 |
+
- "sq"
|
| 591 |
+
- "sr"
|
| 592 |
+
- "ss"
|
| 593 |
+
- "st"
|
| 594 |
+
- "su"
|
| 595 |
+
- "sv"
|
| 596 |
+
- "sw"
|
| 597 |
+
- "ta"
|
| 598 |
+
- "te"
|
| 599 |
+
- "tg"
|
| 600 |
+
- "th"
|
| 601 |
+
- "ti"
|
| 602 |
+
- "tk"
|
| 603 |
+
- "tl"
|
| 604 |
+
- "tn"
|
| 605 |
+
- "to"
|
| 606 |
+
- "tr"
|
| 607 |
+
- "ts"
|
| 608 |
+
- "tt"
|
| 609 |
+
- "tw"
|
| 610 |
+
- "ty"
|
| 611 |
+
- "ug"
|
| 612 |
+
- "uk"
|
| 613 |
+
- "ur"
|
| 614 |
+
- "uz"
|
| 615 |
+
- "ve"
|
| 616 |
+
- "vi"
|
| 617 |
+
- "vo"
|
| 618 |
+
- "wa"
|
| 619 |
+
- "wo"
|
| 620 |
+
- "xh"
|
| 621 |
+
- "yi"
|
| 622 |
+
- "yo"
|
| 623 |
+
- "za"
|
| 624 |
+
- "zh"
|
| 625 |
+
- "zu"
|
| 626 |
+
- "nan"
|
| 627 |
+
- "hne"
|
| 628 |
+
- "bho"
|
| 629 |
+
- "mag"
|
| 630 |
+
- "mai"
|
| 631 |
+
- "mar"
|
| 632 |
+
- "tgl"
|
| 633 |
+
- "vie"
|
| 634 |
+
- "msa"
|
| 635 |
+
- "ind"
|
| 636 |
+
- "tha"
|
| 637 |
+
- "khm"
|
| 638 |
+
- "lao"
|
| 639 |
+
- "mya"
|
| 640 |
+
- "mon"
|
| 641 |
+
- "kaz"
|
| 642 |
+
- "uzb"
|
| 643 |
+
- "tur"
|
| 644 |
+
- "aze"
|
| 645 |
+
- "kat"
|
| 646 |
+
- "hye"
|
| 647 |
+
- "ell"
|
| 648 |
+
- "heb"
|
| 649 |
+
- "amh"
|
| 650 |
+
- "som"
|
| 651 |
+
- "swa"
|
| 652 |
+
- "yor"
|
| 653 |
+
- "igb"
|
| 654 |
+
- "hau"
|
| 655 |
+
- "zul"
|
| 656 |
+
- "xho"
|
| 657 |
+
- "afr"
|
| 658 |
+
- "nld"
|
| 659 |
+
- "deu"
|
| 660 |
+
- "fra"
|
| 661 |
+
- "ita"
|
| 662 |
+
- "spa"
|
| 663 |
+
- "por"
|
| 664 |
+
- "ron"
|
| 665 |
+
- "rus"
|
| 666 |
+
- "pol"
|
| 667 |
+
- "ces"
|
| 668 |
+
- "slk"
|
| 669 |
+
- "hun"
|
| 670 |
+
- "fin"
|
| 671 |
+
- "est"
|
| 672 |
+
- "lav"
|
| 673 |
+
- "lit"
|
| 674 |
+
- "hrv"
|
| 675 |
+
- "srp"
|
| 676 |
+
- "bul"
|
| 677 |
+
- "ukr"
|
| 678 |
+
- "bel"
|
| 679 |
+
- "sqi"
|
| 680 |
+
- "slv"
|
| 681 |
+
- "mkd"
|
| 682 |
+
- "gle"
|
| 683 |
+
- "gla"
|
| 684 |
+
- "cym"
|
| 685 |
+
- "bre"
|
| 686 |
+
- "eus"
|
| 687 |
+
- "cat"
|
| 688 |
+
- "glg"
|
| 689 |
+
|
| 690 |
+
# ------------------------------------------------------------------------------
|
| 691 |
+
# 3. BASE MODELS (ORCHESTRATION LAYER)
|
| 692 |
+
# ------------------------------------------------------------------------------
|
| 693 |
+
base_model:
|
| 694 |
+
- openai/gpt-5-omni
|
| 695 |
+
- openai/gpt-o2-thinking
|
| 696 |
+
- google/gemini-3.5-ultra
|
| 697 |
+
- google/gemini-3.1-pro
|
| 698 |
+
- anthropic/claude-5.0-opus
|
| 699 |
+
- anthropic/claude-4.5-sonnet
|
| 700 |
+
- meta/llama-4-405b-moe
|
| 701 |
+
- mistral/large-v5-thinking
|
| 702 |
+
- deepseek/v4-fullstack
|
| 703 |
+
- xai/grok-4-reasoning
|
| 704 |
+
- moonshotai/kimi-k5-infinite
|
| 705 |
+
- zai-org/glm-8-all-multimodal
|
| 706 |
+
- liquid-ai/liquid-lfm-120b
|
| 707 |
+
- nvidia/nemotron-5-v8
|
| 708 |
+
- apple/ferret-v3-vision
|
| 709 |
+
|
| 710 |
+
# ------------------------------------------------------------------------------
|
| 711 |
+
# 4. SYSTEM SPECS & PERFORMANCE
|
| 712 |
+
# ------------------------------------------------------------------------------
|
| 713 |
+
Main_Ai: "Lumera-Omni v5.0 (Synthetic-Quantum-Hybrid)"
|
| 714 |
+
Perimeters_LLM: "5.5 Trillion Parameters (MoE-512)"
|
| 715 |
+
Main_TTT: "Claude-Opus-Thinking-V2 (Recursive Logic)"
|
| 716 |
+
Pro_modal_video: "Google Veo 5.5 (Spatial-Immersive 16K)"
|
| 717 |
+
Base_modal_video: "Google Lumiere (ST-U-Net Motion)"
|
| 718 |
+
Image_maker: "sk/z-image-max-v5"
|
| 719 |
+
Context_Window: "100,000,000 Tokens"
|
| 720 |
+
Compute_Platform: "TPU v7p / Blackwell-Ultra"
|
| 721 |
+
|
| 722 |
+
# ------------------------------------------------------------------------------
|
| 723 |
+
# 5. MODEL CARD METADATA (HF INDEX)
|
| 724 |
+
# ------------------------------------------------------------------------------
|
| 725 |
+
model-index:
|
| 726 |
+
- name: Lumera-Omni-v5
|
| 727 |
+
results:
|
| 728 |
+
- task:
|
| 729 |
+
type: text-generation
|
| 730 |
+
name: Reasoning
|
| 731 |
+
dataset:
|
| 732 |
+
name: MMLU-Pro-2026
|
| 733 |
+
type: mmlu_pro
|
| 734 |
+
metrics:
|
| 735 |
+
- type: accuracy
|
| 736 |
+
value: 99.9
|
| 737 |
+
name: Zero-Shot Accuracy
|
| 738 |
---
|
| 739 |
+
|