| --- |
| |
| |
| |
| |
| 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 |
|
|
| |
| |
| |
| datasets: |
| |
| - 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/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 |
| |
| - 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 |
|
|
| |
| |
| |
| 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" |
|
|
| |
| |
| |
| 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 |
|
|
| |
| |
| |
| 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" |
|
|
| |
| |
| |
| 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 |
| --- |
| --- |
| # ============================================================================== |
| # HUGGING FACE UNIVERSAL HYPER-MODEL - LUMERA MARCH 2026 |
| # ARCHITECTURE: DISTRIBUTED NEURAL MESH (5.5T) |
| # ============================================================================== |
| 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 |
|
|
| # ------------------------------------------------------------------------------ |
| # 1. DATASET REPOSITORY (STRICT: 238 ENTRIES) |
| # ------------------------------------------------------------------------------ |
| 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 |
|
|
| # ------------------------------------------------------------------------------ |
| # 2. LANGUAGE REGISTRY (350+ PROFILES) |
| # ------------------------------------------------------------------------------ |
| 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" |
|
|
| # ------------------------------------------------------------------------------ |
| # 3. BASE MODELS (ORCHESTRATION LAYER) |
| # ------------------------------------------------------------------------------ |
| 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 |
| |
| # ------------------------------------------------------------------------------ |
| # 4. SYSTEM SPECS & PERFORMANCE |
| # ------------------------------------------------------------------------------ |
| 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" |
| |
| # ------------------------------------------------------------------------------ |
| # 5. MODEL CARD METADATA (HF INDEX) |
| # ------------------------------------------------------------------------------ |
| 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 |
| --- |
| |
|
|
