--- # ============================================================================== # 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 --- --- # ============================================================================== # 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 ---