Tabular[<|"RawSchema" -> <|"ColumnProperties" -> <|"Model" -> <|"ElementType" -> "String"|>, "Vendor" -> <|"ElementType" -> "String"|>, "ReleaseDate" -> <|"ElementType" -> TypeSpecifier["Date"]["Integer64", "Day", "Gregorian", None]|>, "ModelLink" -> <|"ElementType" -> "String"|>, "VendorLink" -> <|"ElementType" -> "String"|>, "CorrectSyntax" -> <|"ElementType" -> "Real64"|>, "CorrectFunctionality" -> <|"ElementType" -> "Real64"|>|>, "KeyColumns" -> None, "Backend" -> "WolframKernel"|>, "Options" -> {}, "BackendData" -> <|"ColumnData" -> DataStructure["ColumnTable", {{TabularColumn[Association["Data" -> {{3, {0, 20, 58, 84, 122, 162, 198, 224, 260, 284, 300, 317, 330, 358, 378, 399, 437, 463, 485, 509, 531, 554, 578, 607, 632, 644, 673, 690, 701, 727, 756, 779, 802, 827, 855, 890, 918, 940, 957, 984, 995, 1018, 1041, 1054, 1094, 1129, 1157, 1180, 1203, 1222, 1237, 1244, 1258, 1274, 1290, 1313, 1327, 1332, 1357, 1385, 1403, 1420, 1433, 1462, 1489, 1520, 1545, 1565, 1587, 1600, 1623, 1642, 1653, 1672, 1694, 1712, 1721, 1741, 1765, 1780, 1803, 1822, 1844, 1866, 1889, 1913, 1922, 1942, 1963, 1974, 1993, 2030, 2052, 2061, 2090, 2113, 2134, 2147, 2168, 2188, 2199, 2212, 2219, 2249, 2269, 2280, 2302, 2329, 2367, 2383, 2393, 2421, 2441, 2463, 2483, 2500, 2510, 2525, 2546, 2563, 2592, 2600, 2636, 2661, 2675, 2701, 2722, 2744, 2765, 2791, 2802, 2814, 2840, 2855, 2863, 2890, 2920, 2944, 2960, 2992, 3001, 3021, 3043, 3063, 3086, 3107, 3118, 3128, 3148, 3164, 3191, 3209, 3230, 3240, 3260, 3273, 3300, 3329, 3337, 3359, 3375, 3390, 3412, 3438, 3461, 3481, 3504, 3526, 3539, 3553, 3576, 3600, 3636, 3646, 3667, 3688, 3705, 3718, 3744, 3755, 3766, 3789, 3798, 3814, 3834, 3873, 3895, 3914, 3928, 3950, 3966, 3980, 4000, 4012, 4037, 4062, 4070, 4095, 4109, 4128, 4139, 4153, 4166, 4186, 4211, 4220, 4243, 4258, 4275, 4295, 4306, 4316, 4325, 4348, 4380, 4388, 4403, 4425, 4439, 4450, 4470, 4487, 4497, 4519, 4537, 4556, 4569, 4578, 4593, 4617, 4638, 4659, 4678, 4702, 4716, 4736, 4761, 4775, 4798, 4820, 4834, 4844, 4867, 4881, 4888, 4915, 4945, 4950, 4970, 4992, 5017, 5046, 5055, 5076, 5093, 5119, 5135, 5162, 5185, 5204, 5210, 5235, 5254, 5261, 5278, 5290, 5313, 5344, 5368, 5387, 5397, 5416, 5440, 5464, 5473, 5497, 5522, 5538, 5557, 5572, 5586, 5610, 5632, 5652, 5670, 5686, 5698, 5725, 5756, 5775, 5785, 5806, 5816, 5840, 5867, 5877, 5891, 5922, 5945, 5968, 5988, 6015, 6039, 6060, 6077, 6100, 6111, 6121, 6132, 6155, 6176, 6197, 6217, 6240, 6256, 6277, 6298, 6308, 6331, 6350, 6369, 6390, 6400, 6405, 6423, 6447, 6480, 6500, 6511, 6538, 6565, 6593, 6614, 6633, 6650, 6670, 6697, 6730, 6735, 6752, 6764, 6785, 6797, 6831, 6844, 6865, 6895, 6918, 6932, 6952, 6971, 6990, 7000, 7010, 7019, 7030, 7050, 7071, 7092, 7099}, "Gemini 3 Pro PreviewClaude 4.5 Opus (20251101) thinking onClaude 4.5 Opus (20251101)Claude 4.1 Opus (20250805) thinking onClaude 4.5 Sonnet (20250929) thinking onQwen3 235B Instruct 2507 thinking onClaude 4.1 Opus (20250805)Claude 4 Opus (20250514) thinking onClaude 4 Opus (20250514)Kimi K2 ThinkingQwen3 Max previewGrok 4 (0709)Claude 4.5 Sonnet (20250929)Kimi K2 Instruct FP8Gemini 2.5 Pro (0605)Claude 4 Sonnet (20250514) thinking onClaude 4 Sonnet (20250514)Qwen Plus (2025-07-14)Qwen2.5-Max (2025-01-25)Qwen3 Max (2025-09-23)Kimi K2 Instruct (0905)Qwen3 235B Instruct 2507Qwen3 Coder Plus (2025-07-22)Qwen3 Coder 480B InstructNova PremierGemini 2.5 Pro Preview (0506)Qwen3 235B Q4_K_MDeepSeek-R1Qwen3 Next 80B thinking onQwen3 Coder Plus (2025-09-23)DeepSeek V3.2 Exp ThinkHermes 3 Llama 3.1 405BGemini 2.5 Pro Exp (0325)DeepSeek V3.1 Terminus ThinkQwen3 30B Instruct 2507 thinking onGPT-4.5 preview (2025-02-27)DeepSeek V3.1 TerminusDeepSeek V3.2 ExpClaude 4.5 Haiku (20251001)Grok 3 BetaDeepSeek V3 671B (0324)o1-preview (2024-09-12)DeepSeek V3.1Claude 3.7 Sonnet (20250219) thinking onGemini 2.5 Flash  Preview (09-2025)Claude 3.5 Sonnet (20241022)Magistral Medium (2509)Gemini 2.5 Flash (0520)DeepSeek V3.2 Thinko1 (2024-12-17)GLM-4.6QwQ 32B Q4_K_MGrok Code Fast 1DeepSeek V3 671BLlama 3.1 405B InstructGPT-5.1 (high)GPT-4Qwen2.5-Plus (2025-01-25)Claude 3.7 Sonnet (20250219)GPT-5 (2025-08-07)Gemini Exp (1206)Qwen QwQ PlusLlama 4 Maverick Instruct FP8Qwen2.5 72B Instruct Q4_K_MGemini 2.5 Flash Preview (0417)Gemini 2.0 Pro Exp (0205)Athene v2 72B Q4_K_MDevstral Medium (2507)DeepSeek V3.2Qwen3 30B Instruct 2507GPT-4o (2024-11-20)GPT-5 CodexGPT-4o (2024-08-06)Qwen Plus (2025-09-11)DeepSeek-R1 (0528)Qwen3 30Bo4-mini (2025-04-16)o3 (2025-04-16) (medium)Jamba Large 1.7Grok 4.1 Fast ReasoningDeepSeek V3.1 ThinkMistral Large 2 (2411)Mistral Large 2 (2407)Qwen3 Next 80B InstructQwen3-Turbo (2025-04-28)Qwen3 32BGPT-4.1 (2025-04-14)Mistral Medium (2505)GPT-4 TurboGPT-4o (2024-05-13)Gemini 2.0 Flash Thinking Exp (01-21)Llama 3.1 70B InstructQwen3 14Bo3-mini (2025-01-31) (medium)Magistral Medium (2507)Gemini Pro Exp (0827)Grok 2 (1212)Grok 4 Fast ReasoningGemini 1.5 Pro (002)Grok 2 BetaClaude 3 OpusGLM-4.5Qwen2 Math 72B Instruct Q4_K_MQwen2.5 32B InstructNova Lite 2Hermes 3 Llama 3.1 70BMistral Large 2 (2407) Q4_0Llama 3.1 Nemotron 70B Instruct Q4_K_MQwen3 14B Q4_K_MMiniMax M1Claude 3.5 Sonnet (20240620)Gemini 2.0 Flash ExpGemini 2.0 Flash (001)o1-mini (2024-09-12)Gemini Exp (1114)MiniMax M2Jamba Large 1.6Cogito v1 preview 32BGemini Exp (1121)Gemini 2.0 Flash Thinking ExpNova ProLlama 3.2 Vision 90B Instruct Q4_K_MGPT-4.1 mini (2025-04-14)GPT-5.1 (none)o3-mini (2025-01-31) (low)Mistral Medium (2508)DeepSeek-Coder-V2 236BCogito v1 preview 70BQwen2.5 Coder 32B InstructFalcon3 10Bgpt-oss 120bQwen2.5 Coder 14B InstructQwQ 32B PreviewQwen3 8BLlama 3.1 70B Instruct Q8_0Qwen3 Coder Flash (2025-07-28)Qwen3 Coder 30B InstructGrok 3 Mini BetaDeepSeek V2.5 236B Instruct Q5_1GLM-4 32BGemini 1.5 Pro (001)Llama 3.3 70B InstructPixtral Large (2411)Qwen2 72B Instruct Q8_0Cogito v1 preview 14BGLM-4.5-AirMiniMax 01Llama 3 70B Instructtext-unicorn-001Llama 3.1 70B Instruct Q4_0Falcon3 10B Q4_K_MCommand A 111B Q4_K_MFalcon3 7BQwen2.5 14B InstructGPT-3.5 TurboClaude 3.5 Haiku (20241022)Gemini 2.0 Flash Lite previewTulu 70BMistral Large 1 (2402)Codestral (2508)Jamba Large 1.5Gemini 1.5 Flash (002)Qwen2.5-Turbo (2024-11-01)Gemini Flash Exp (0827)Mistral Small (2506)GPT-5 mini (2025-08-07)Magistral Small (2509)Mixtral 8x22BCode Llama 34BGPT-5 nano (2025-08-07)Nemotron-4 340B InstructGemini 2.5 Flash Lite Preview (0617)Yi 1.5 34BDevstral Small (2507)Devstral Small (2505)Athene 70B Q4_K_MGrok 4.1 FastCommand R plus 104B Q4_K_MGrok 4 Fastgpt-oss 20bMagistral Medium (2506)CodestralCodestral (2501)Mistral Small (2409)Gemini 2.5 Flash Lite Preview (09-2025)Gemini 1.5 Flash (001)Nemotron Nano 9B v2Jamba Mini 1.6Llama 4 Scout InstructFalcon3 Mamba 7BJamba Mini 1.7Gemma 2 27B InstructQwen1.5 110BGemma 2 27B Instruct Q4_0GPT-4.1 nano (2025-04-14)Qwen3 4BQwen2.5 Coder 7B InstructJamba Mini 1.5Qwen2.5 7B InstructMarco-o1 7BCode Llama 13BMistral SmallMistral Small (2501)Qwen2 57B Instruct Q4_K_MYi 1.5 9BDBRX 132B Instruct Q4_0Aya Expanse 32BQwen2 7B InstructMistral Small (2503)Sailor2 20BClaude 2.1Nova LiteEXAONE 3.5 32B InstructDeepSeek V2 236B Instruct Q4_K_MClaude 2Claude 3 SonnetMagistral Small (2507)Mistral MediumGPT-4o miniCommand R 35B Q4_K_MDeepSeek-Coder 7BFalcon3 3BQwen2 7B Instruct Q4_0DeepSeek-Coder 33BGemini 1.5 Flash 8BCode Llama 7BMathstralCodestral MambaGranite Code 8B InstructLlama 3.1 8B InstructHermes 3 Llama 3.1 8BMistral Saba (2502)Gemma 3 27B Instruct QATtext-bison-002Gemma 3 27B InstructLlama 3 Groq Tool Use 70BClaude 3 HaikuGranite 3.0 8B InstructMagistral Small (2506)code-bison-002Nova MicroGranite 3.1 8B Instructcode-gecko-002xLAM 7BLlama 3.1 70B Instruct Q2_0DeepSeek-Coder-V2 16B InstructPhi-4Gemini 1.0 Pro (002)Qwen2 Math 7B InstructGranite Code 20B InstructLlama 3.2 Vision 11B InstructYi 1.5 6BOpenCoder 8B InstructNexusRaven v2 13BCodeGemma 7B instruct v1.1Yi Coder 9B BaseQwen2 Math 7B Instruct Q4_0Granite 3.2 8B InstructDeepSeek-Coder 6.7BLFM-40Qwen2.5 Coder 3B InstructLlama 3 8B InstructTulu 8BCodeGemma 7B Q4_0Mistral NemoGranite 3.3 8B InstructDolphin 2.9.4 Llama 3.1 8B Q8_0Granite Code 3B InstructGemma 2 9B InstructQwen3 1.7BQwen2.5 3B InstructGemma 2 9B Instruct Q4_0Gemma 3 12B Instruct QATSolar ProLlama 3 Groq Tool Use 8BGranite Code 34B InstructYi Coder 9B ChatMinistral 8B (2410)Falcon Mamba 7Bcode-bison-001EXAONE 3.5 7.8B InstructDolphin 3 Llama 3.1 8BGemma 3 12B InstructOlmo2 13B InstructPhi-3 Small 128kPhi-3 MediumQwen2.5 Coder 1.5B InstructDolphin 2.9.1 Yi 1.5 34B Q4_K_MMinistral 3B (2410)Solar MiniQwen2.5 1.5B InstructPhi-3 MiniQwen2 Math 1.5B InstructGranite 3.1 3B MoE InstructSailor2 8BAya Expanse 8BEXAONE 3.0 7.8B Instruct Q5_K_MGranite 3.0 2B InstructGranite 3.1 2B InstructCogito v1 preview 8BGranite 3.0 3B MoE InstructEXAONE 3.5 2.4B InstructHermes 2 Mixtral 8x7BOlmo2 7B InstructGranite 3.2 2B Instructopenchat3.5Aya 23 35BPixtral 12BGranite 3.3 2B InstructSmolLM2 1.7B InstructGemma 3n E4B InstructCogito v1 preview 3BGemma 3 4B Instruct QATLuminous-supremeLlama 3.2 3B InstructGemma 3n E2B InstructQwen3 0.6BOpenCoder 1.5B InstructPhi-4 Mini InstructGemma 3 4B InstructPhi-3.5 Mini InstructFalcon3 1BLFM-7Yi Coder 1.5B BaseFalcon 40B Instruct Q4_0Luminous-supreme-control-20230501InternLM2.5 20B Q4_0Llama 2 13BGranite 3.0 1B MoE InstructGranite 3.1 1B MoE InstructDeepSeek-Coder 1.3B InstructQwen2.5 0.5B InstructGemma 2 2B InstructLuminous-extendedSmolLM 1.7B InstructQwen2.5 Coder 0.5B InstructLuminous-supreme-control-20240215LFM-3CodeGemma 2B v1.1Mistral TinySmolLM2 360M InstructCodeGemma 2BLuminous-extended-control-20240215Luminous-baseLlama 3.2 1B InstructLuminous-base-control-20240215Gemma 3 1B Instruct QATopenchat3.6 8BSmolLM 360M InstructGemma 3 1B Instructreplit-code-v1_5-3BLlama 2 7BSailor2 1BFalcon 7BMinitron 4BSmolLM 135M InstructGemma 3 270M InstructSmolLM2 135M InstructxLAM 1B"}, {}, None}, "ElementType" -> "String"]], TabularColumn[Association["Data" -> {{3, {0, 6, 15, 24, 33, 42, 46, 55, 64, 73, 84, 88, 91, 100, 111, 117, 126, 135, 139, 143, 147, 158, 162, 166, 170, 176, 182, 186, 194, 198, 202, 210, 223, 229, 237, 241, 247, 255, 263, 272, 275, 283, 289, 297, 306, 312, 321, 331, 337, 345, 351, 355, 359, 362, 370, 374, 380, 386, 390, 399, 405, 411, 415, 419, 423, 429, 435, 444, 454, 462, 466, 472, 478, 484, 488, 496, 500, 506, 512, 521, 524, 532, 542, 552, 556, 560, 564, 570, 580, 586, 592, 598, 602, 606, 612, 622, 628, 631, 634, 640, 643, 652, 656, 660, 664, 670, 683, 693, 699, 703, 710, 719, 725, 731, 737, 743, 750, 759, 770, 776, 782, 788, 792, 798, 804, 810, 820, 828, 839, 843, 853, 859, 863, 867, 871, 875, 879, 883, 886, 894, 898, 904, 908, 918, 922, 933, 937, 944, 948, 954, 958, 968, 974, 984, 988, 994, 1003, 1009, 1012, 1022, 1032, 1041, 1047, 1051, 1057, 1067, 1073, 1083, 1093, 1097, 1103, 1109, 1115, 1117, 1127, 1137, 1146, 1149, 1155, 1158, 1164, 1174, 1184, 1194, 1204, 1210, 1216, 1222, 1231, 1235, 1245, 1254, 1260, 1264, 1270, 1276, 1280, 1284, 1293, 1297, 1304, 1308, 1318, 1328, 1332, 1334, 1344, 1350, 1354, 1364, 1374, 1383, 1389, 1403, 1411, 1420, 1429, 1439, 1449, 1455, 1461, 1469, 1479, 1483, 1491, 1497, 1501, 1511, 1521, 1524, 1528, 1541, 1551, 1557, 1563, 1569, 1573, 1582, 1585, 1595, 1601, 1607, 1610, 1616, 1626, 1630, 1638, 1647, 1653, 1657, 1660, 1664, 1666, 1672, 1681, 1687, 1689, 1693, 1696, 1704, 1710, 1714, 1718, 1721, 1727, 1737, 1740, 1762, 1765, 1771, 1775, 1779, 1785, 1791, 1798, 1802, 1805, 1807, 1817, 1827, 1833, 1847, 1869, 1875, 1878, 1887, 1896, 1900, 1922, 1932, 1939, 1943, 1952, 1956, 1959, 1969, 1975, 1989, 1992, 1995, 2006, 2009, 2023, 2036, 2039, 2042, 2050, 2056, 2066, 2069, 2081, 2087, 2098, 2104, 2115, 2119, 2125, 2129, 2135, 2144, 2150, 2159, 2169, 2175, 2177, 2187, 2198, 2206, 2210, 2213, 2216, 2224, 2228, 2234, 2245, 2257, 2261, 2272, 2278, 2284, 2294, 2306, 2312, 2323, 2334, 2338, 2349, 2355, 2363, 2375, 2381, 2387, 2391, 2401, 2411, 2417, 2429, 2435, 2447, 2457}, "GoogleAnthropicAnthropicAnthropicAnthropicQwenAnthropicAnthropicAnthropicMoonshot AIQwenxAIAnthropicMoonshot AIGoogleAnthropicAnthropicQwenQwenQwenMoonshot AIQwenQwenQwenAmazonGoogleQwenDeepSeekQwenQwenDeepSeekNous ResearchGoogleDeepSeekQwenOpenAIDeepSeekDeepSeekAnthropicxAIDeepSeekOpenAIDeepSeekAnthropicGoogleAnthropicMistral AIGoogleDeepSeekOpenAIZ AIQwenxAIDeepSeekMetaOpenAIOpenAIQwenAnthropicOpenAIGoogleQwenMetaQwenGoogleGoogleNexusflowMistral AIDeepSeekQwenOpenAIOpenAIOpenAIQwenDeepSeekQwenOpenAIOpenAIAi21-labsxAIDeepSeekMistral AIMistral AIQwenQwenQwenOpenAIMistral AIOpenAIOpenAIGoogleMetaQwenOpenAIMistral AIGooglexAIxAIGooglexAIAnthropicZ AIQwenQwenAmazonNous ResearchMistral AINVIDIAQwenMiniMaxAnthropicGoogleGoogleOpenAIGoogleMiniMaxAi21-labsDeep CogitoGoogleGoogleAmazonMetaOpenAIOpenAIOpenAIMistral AIDeepSeekDeep CogitoQwenFalcon LLMOpenAIQwenQwenQwenMetaQwenQwenxAIDeepSeekZ AIGoogleMetaMistral AIQwenDeep CogitoZ AIMiniMaxMetaGoogleMetaFalcon LLMCohereFalcon LLMQwenOpenAIAnthropicGoogleAi2Mistral AIMistral AIAi21-labsGoogleQwenGoogleMistral AIOpenAIMistral AIMistral AIMetaOpenAINVIDIAGoogleYiMistral AIMistral AINexusflowxAICoherexAIOpenAIMistral AIMistral AIMistral AIMistral AIGoogleGoogleNVIDIAAi21-labsMetaFalcon LLMAi21-labsGoogleQwenGoogleOpenAIQwenQwenAi21-labsQwenAIDC-AIMetaMistral AIMistral AIQwenYiDatabricksCohereQwenMistral AISea AI LabAnthropicAmazonLG AI ResearchDeepSeekAnthropicAnthropicMistral AIMistral AIOpenAICohereDeepSeekFalcon LLMQwenDeepSeekGoogleMetaMistral AIMistral AIIBMMetaNous ResearchMistral AIGoogleGoogleGoogleGroqAnthropicIBMMistral AIGoogleAmazonIBMGoogleSalesforceMetaDeepSeekMicrosoftGoogleQwenIBMMetaYiINF AINexusflowGoogleYiQwenIBMDeepSeekLiquidQwenMetaAi2GoogleMistral AIIBMCognitive ComputationsIBMGoogleQwenQwenGoogleGoogleUpstageGroqIBMYiMistral AIFalcon LLMGoogleLG AI ResearchCognitive ComputationsGoogleAi2MicrosoftMicrosoftQwenCognitive ComputationsMistral AIUpstageQwenMicrosoftQwenIBMSea AI LabCohereLG AI ResearchIBMIBMDeep CogitoIBMLG AI ResearchNous ResearchAi2IBMOpenChatCohereMistral AIIBMHugging FaceGoogleDeep CogitoGoogleAleph AlphaMetaGoogleQwenINF AIMicrosoftGoogleMicrosoftFalcon LLMLiquidYiFalcon LLMAleph AlphaInternLMMetaIBMIBMDeepSeekQwenGoogleAleph AlphaHugging FaceQwenAleph AlphaLiquidGoogleMistral AIHugging FaceGoogleAleph AlphaAleph AlphaMetaAleph AlphaGoogleOpenChatHugging FaceGoogleReplitMetaSea AI LabFalcon LLMNVIDIAHugging FaceGoogleHugging FaceSalesforce"}, {}, None}, "ElementType" -> "String"]], TabularColumn[Association["Data" -> {359, {{{1763424000000, 1763942400000, 1763942400000, 1747872000000, 1759104000000, 1753142400000, 1747872000000, 1747872000000, 1747872000000, 1762473600000, 1757030400000, 1752105600000, 1759104000000, 1752192000000, 1749081600000, 1747872000000, 1747872000000, 1752451200000, 1738022400000, 1758585600000, 1757030400000, 1753142400000, 1753142400000, 1753142400000, 1733184000000, 1746489600000, 1745798400000, 1737331200000, 1757462400000, 1758585600000, 1759104000000, 1723507200000, 1742860800000, 1758499200000, 1753142400000, 1740441600000, 1758499200000, 1759104000000, 1760486400000, 1739923200000, 1742774400000, 1726099200000, 1755734400000, 1739923200000, 1758758400000, 1729555200000, 1758067200000, 1747699200000, 1764547200000, 1734393600000, 1759190400000, 1741219200000, 1756080000000, 1735171200000, 1721692800000, 1762992000000, 1718236800000, 1738022400000, 1739923200000, 1754524800000, 1733443200000, 1741219200000, 1743811200000, 1726704000000, 1744848000000, 1738713600000, 9223372036742400000, 1752105600000, 1764547200000, 1753142400000, 1732060800000, 1757894400000, 1722902400000, 1757548800000, 1748390400000, 1745798400000, 1744761600000, 1744761600000, 1751414400000, 1763510400000, 1755734400000, 1731888000000, 1721779200000, 1757462400000, 1745798400000, 1745798400000, 1744588800000, 1746662400000, 1712620800000, 1715558400000, 1737417600000, 1721692800000, 1745798400000, 1738281600000, 1753315200000, 1724716800000, 1733961600000, 1758240000000, 1727136000000, 1710633600000, 1709510400000, 1753660800000, 1723075200000, 1726704000000, 1764633600000, 1722211200000, 1721779200000, 9223372036742400000, 1745798400000, 1750032000000, 1718841600000, 1733875200000, 1738713600000, 1726099200000, 1731542400000, 1761177600000, 9223372036742400000, 1744070400000, 1732147200000, 1734566400000, 1733184000000, 1727222400000, 1744588800000, 1762992000000, 1738281600000, 1754006400000, 1718582400000, 1744070400000, 1731369600000, 1734393600000, 1754352000000, 1731369600000, 1732752000000, 1745798400000, 1721692800000, 1753660800000, 1753142400000, 1739923200000, 1718582400000, 1744588800000, 1717027200000, 1733529600000, 1731888000000, 1721001600000, 1744070400000, 1753660800000, 1737676800000, 1713398400000, 1701302400000, 1721692800000, 1734393600000, 9223372036742400000, 1734393600000, 1726704000000, 1699228800000, 1729555200000, 1738713600000, 9223372036742400000, 1708905600000, 1753833600000, 9223372036742400000, 1727136000000, 1730419200000, 1724716800000, 1750377600000, 1754524800000, 1758067200000, 1713312000000, 1692835200000, 1754524800000, 9223372036742400000, 1750118400000, 9223372036742400000, 1752105600000, 1747785600000, 9223372036742400000, 1763510400000, 9223372036742400000, 1758240000000, 1754352000000, 1749513600000, 1716940800000, 1736726400000, 1726531200000, 1758758400000, 1717027200000, 1758153600000, 9223372036742400000, 1743811200000, 1721692800000, 1751414400000, 1719446400000, 1714003200000, 1719446400000, 1744588800000, 1745798400000, 1726704000000, 9223372036742400000, 1726704000000, 1732147200000, 1692835200000, 1708905600000, 1738195200000, 1721001600000, 9223372036742400000, 9223372036742400000, 9223372036742400000, 1721001600000, 1742169600000, 9223372036742400000, 1700524800000, 1733184000000, 9223372036742400000, 1715040000000, 1689033600000, 1709510400000, 1753315200000, 1702252800000, 1721260800000, 9223372036742400000, 1707091200000, 1734393600000, 1721001600000, 1706140800000, 1727913600000, 1692835200000, 1721088000000, 1721088000000, 1714089600000, 1721692800000, 1722124800000, 1739750400000, 1741737600000, 1701648000000, 1741737600000, 1721692800000, 1709510400000, 1729468800000, 1749513600000, 1701648000000, 1733184000000, 1734307200000, 1701820800000, 9223372036742400000, 1721692800000, 1718582400000, 1733961600000, 1712620800000, 1723075200000, 1715040000000, 1727222400000, 9223372036742400000, 9223372036742400000, 9223372036742400000, 1709424000000, 9223372036742400000, 1723075200000, 1740009600000, 1706140800000, 1727654400000, 1731369600000, 1713398400000, 9223372036742400000, 1712620800000, 1721260800000, 1744761600000, 9223372036742400000, 1715040000000, 1719446400000, 1745798400000, 1726704000000, 1719446400000, 1741737600000, 9223372036742400000, 1721692800000, 1715040000000, 9223372036742400000, 1728432000000, 1721692800000, 1686096000000, 9223372036742400000, 9223372036742400000, 1741737600000, 9223372036742400000, 1713744000000, 1713744000000, 1726704000000, 9223372036742400000, 1728432000000, 9223372036742400000, 1726704000000, 1713744000000, 1723075200000, 1734307200000, 9223372036742400000, 9223372036742400000, 9223372036742400000, 1729468800000, 1734307200000, 1744070400000, 1729468800000, 9223372036742400000, 1704931200000, 9223372036742400000, 1740009600000, 1698624000000, 9223372036742400000, 1726531200000, 1744761600000, 9223372036742400000, 1747699200000, 1744070400000, 1741737600000, 1685923200000, 1727222400000, 1747699200000, 1745798400000, 9223372036742400000, 1739923200000, 1741737600000, 1723852800000, 1734393600000, 1727654400000, 9223372036742400000, 1678924800000, 1682899200000, 9223372036742400000, 1689638400000, 1729468800000, 1734307200000, 1706140800000, 1726704000000, 1722384000000, 1685923200000, 9223372036742400000, 1731369600000, 1685923200000, 1727654400000, 1714694400000, 1702252800000, 9223372036742400000, 1714694400000, 1707955200000, 1685923200000, 1727222400000, 1707955200000, 1741737600000, 1715040000000, 9223372036742400000, 1741737600000, 1696809600000, 1689638400000, 9223372036742400000, 1678924800000, 1721347200000, 9223372036742400000, 1755129600000, 9223372036742400000, 9223372036742400000}, {}, DataStructure["BitVector", {"Data" -> ByteArray["///////////7//////fv////f9/+a/3334/t9///90e/++10PV7b37e/7++W"], "Capacity" -> 359, "BitCount" -> 310}] -> Missing["KeyAbsent", "ReleaseDate"]}}, DataStructure["BitVector", {"Data" -> ByteArray["///////////7//////fv////f9/+a/3334/t9///90e/++10PV7b37e/7++W"], "Capacity" -> 359, "BitCount" -> 310}] -> Missing["KeyAbsent", "ReleaseDate"]}, "ElementType" -> "Date"["Integer64", "Day", "Gregorian", None], "CachedOriginalExpression" -> {DateObject[{2025, 11, 18}, "Day"], DateObject[{2025, 11, 24}, "Day"], DateObject[{2025, 11, 24}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 9, 29}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 11, 7}, "Day"], DateObject[{2025, 9, 5}, "Day"], DateObject[{2025, 7, 10}, "Day"], DateObject[{2025, 9, 29}, "Day"], DateObject[{2025, 7, 11}, "Day"], DateObject[{2025, 6, 5}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 5, 22}, "Day"], DateObject[{2025, 7, 14}, "Day"], DateObject[{2025, 1, 28}, "Day"], DateObject[{2025, 9, 23}, "Day"], DateObject[{2025, 9, 5}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2024, 12, 3}, "Day"], DateObject[{2025, 5, 6}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 1, 20}, "Day"], DateObject[{2025, 9, 10}, "Day"], DateObject[{2025, 9, 23}, "Day"], DateObject[{2025, 9, 29}, "Day"], DateObject[{2024, 8, 13}, "Day"], DateObject[{2025, 3, 25}, "Day"], DateObject[{2025, 9, 22}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2025, 2, 25}, "Day"], DateObject[{2025, 9, 22}, "Day"], DateObject[{2025, 9, 29}, "Day"], DateObject[{2025, 10, 15}, "Day"], DateObject[{2025, 2, 19}, "Day"], DateObject[{2025, 3, 24}, "Day"], DateObject[{2024, 9, 12}, "Day"], DateObject[{2025, 8, 21}, "Day"], DateObject[{2025, 2, 19}, "Day"], DateObject[{2025, 9, 25}, "Day"], DateObject[{2024, 10, 22}, "Day"], DateObject[{2025, 9, 17}, "Day"], DateObject[{2025, 5, 20}, "Day"], DateObject[{2025, 12, 1}, "Day"], DateObject[{2024, 12, 17}, "Day"], DateObject[{2025, 9, 30}, "Day"], DateObject[{2025, 3, 6}, "Day"], DateObject[{2025, 8, 25}, "Day"], DateObject[{2024, 12, 26}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2025, 11, 13}, "Day"], DateObject[{2024, 6, 13}, "Day"], DateObject[{2025, 1, 28}, "Day"], DateObject[{2025, 2, 19}, "Day"], DateObject[{2025, 8, 7}, "Day"], DateObject[{2024, 12, 6}, "Day"], DateObject[{2025, 3, 6}, "Day"], DateObject[{2025, 4, 5}, "Day"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2025, 4, 17}, "Day"], DateObject[{2025, 2, 5}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 7, 10}, "Day"], DateObject[{2025, 12, 1}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2024, 11, 20}, "Day"], DateObject[{2025, 9, 15}, "Day"], DateObject[{2024, 8, 6}, "Day"], DateObject[{2025, 9, 11}, "Day"], DateObject[{2025, 5, 28}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 4, 16}, "Day"], DateObject[{2025, 4, 16}, "Day"], DateObject[{2025, 7, 2}, "Day"], DateObject[{2025, 11, 19}, "Day"], DateObject[{2025, 8, 21}, "Day"], DateObject[{2024, 11, 18}, "Day"], DateObject[{2024, 7, 24}, "Day"], DateObject[{2025, 9, 10}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 4, 14}, "Day"], DateObject[{2025, 5, 8}, "Day"], DateObject[{2024, 4, 9}, "Day"], DateObject[{2024, 5, 13}, "Day"], DateObject[{2025, 1, 21}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 1, 31}, "Day"], DateObject[{2025, 7, 24}, "Day"], DateObject[{2024, 8, 27}, "Day"], DateObject[{2024, 12, 12}, "Day"], DateObject[{2025, 9, 19}, "Day"], DateObject[{2024, 9, 24}, "Day"], DateObject[{2024, 3, 17}, "Day"], DateObject[{2024, 3, 4}, "Day"], DateObject[{2025, 7, 28}, "Day"], DateObject[{2024, 8, 8}, "Day"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2025, 12, 2}, "Day"], DateObject[{2024, 7, 29}, "Day"], DateObject[{2024, 7, 24}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2025, 6, 16}, "Day"], DateObject[{2024, 6, 20}, "Day"], DateObject[{2024, 12, 11}, "Day"], DateObject[{2025, 2, 5}, "Day"], DateObject[{2024, 9, 12}, "Day"], DateObject[{2024, 11, 14}, "Day"], DateObject[{2025, 10, 23}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 4, 8}, "Day"], DateObject[{2024, 11, 21}, "Day"], DateObject[{2024, 12, 19}, "Day"], DateObject[{2024, 12, 3}, "Day"], DateObject[{2024, 9, 25}, "Day"], DateObject[{2025, 4, 14}, "Day"], DateObject[{2025, 11, 13}, "Day"], DateObject[{2025, 1, 31}, "Day"], DateObject[{2025, 8, 1}, "Day"], DateObject[{2024, 6, 17}, "Day"], DateObject[{2025, 4, 8}, "Day"], DateObject[{2024, 11, 12}, "Day"], DateObject[{2024, 12, 17}, "Day"], DateObject[{2025, 8, 5}, "Day"], DateObject[{2024, 11, 12}, "Day"], DateObject[{2024, 11, 28}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2025, 7, 28}, "Day"], DateObject[{2025, 7, 22}, "Day"], DateObject[{2025, 2, 19}, "Day"], DateObject[{2024, 6, 17}, "Day"], DateObject[{2025, 4, 14}, "Day"], DateObject[{2024, 5, 30}, "Day"], DateObject[{2024, 12, 7}, "Day"], DateObject[{2024, 11, 18}, "Day"], DateObject[{2024, 7, 15}, "Day"], DateObject[{2025, 4, 8}, "Day"], DateObject[{2025, 7, 28}, "Day"], DateObject[{2025, 1, 24}, "Day"], DateObject[{2024, 4, 18}, "Day"], DateObject[{2023, 11, 30}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2024, 12, 17}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 12, 17}, "Day"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2023, 11, 6}, "Day"], DateObject[{2024, 10, 22}, "Day"], DateObject[{2025, 2, 5}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 2, 26}, "Day"], DateObject[{2025, 7, 30}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 9, 24}, "Day"], DateObject[{2024, 11, 1}, "Day"], DateObject[{2024, 8, 27}, "Day"], DateObject[{2025, 6, 20}, "Day"], DateObject[{2025, 8, 7}, "Day"], DateObject[{2025, 9, 17}, "Day"], DateObject[{2024, 4, 17}, "Day"], DateObject[{2023, 8, 24}, "Day"], DateObject[{2025, 8, 7}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 6, 17}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 7, 10}, "Day"], DateObject[{2025, 5, 21}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 11, 19}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 9, 19}, "Day"], DateObject[{2025, 8, 5}, "Day"], DateObject[{2025, 6, 10}, "Day"], DateObject[{2024, 5, 29}, "Day"], DateObject[{2025, 1, 13}, "Day"], DateObject[{2024, 9, 17}, "Day"], DateObject[{2025, 9, 25}, "Day"], DateObject[{2024, 5, 30}, "Day"], DateObject[{2025, 9, 18}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 4, 5}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2025, 7, 2}, "Day"], DateObject[{2024, 6, 27}, "Day"], DateObject[{2024, 4, 25}, "Day"], DateObject[{2024, 6, 27}, "Day"], DateObject[{2025, 4, 14}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2024, 9, 19}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2024, 11, 21}, "Day"], DateObject[{2023, 8, 24}, "Day"], DateObject[{2024, 2, 26}, "Day"], DateObject[{2025, 1, 30}, "Day"], DateObject[{2024, 7, 15}, "Day"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 7, 15}, "Day"], DateObject[{2025, 3, 17}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2023, 11, 21}, "Day"], DateObject[{2024, 12, 3}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 5, 7}, "Day"], DateObject[{2023, 7, 11}, "Day"], DateObject[{2024, 3, 4}, "Day"], DateObject[{2025, 7, 24}, "Day"], DateObject[{2023, 12, 11}, "Day"], DateObject[{2024, 7, 18}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 2, 5}, "Day"], DateObject[{2024, 12, 17}, "Day"], DateObject[{2024, 7, 15}, "Day"], DateObject[{2024, 1, 25}, "Day"], DateObject[{2024, 10, 3}, "Day"], DateObject[{2023, 8, 24}, "Day"], DateObject[{2024, 7, 16}, "Day"], DateObject[{2024, 7, 16}, "Day"], DateObject[{2024, 4, 26}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2024, 7, 28}, "Day"], DateObject[{2025, 2, 17}, "Day"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2023, 12, 4}, "Day"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2024, 3, 4}, "Day"], DateObject[{2024, 10, 21}, "Day"], DateObject[{2025, 6, 10}, "Day"], DateObject[{2023, 12, 4}, "Day"], DateObject[{2024, 12, 3}, "Day"], DateObject[{2024, 12, 16}, "Day"], DateObject[{2023, 12, 6}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2024, 6, 17}, "Day"], DateObject[{2024, 12, 12}, "Day"], DateObject[{2024, 4, 9}, "Day"], DateObject[{2024, 8, 8}, "Day"], DateObject[{2024, 5, 7}, "Day"], DateObject[{2024, 9, 25}, "Day"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 3, 3}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 8, 8}, "Day"], DateObject[{2025, 2, 20}, "Day"], DateObject[{2024, 1, 25}, "Day"], DateObject[{2024, 9, 30}, "Day"], DateObject[{2024, 11, 12}, "Day"], DateObject[{2024, 4, 18}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 4, 9}, "Day"], DateObject[{2024, 7, 18}, "Day"], DateObject[{2025, 4, 16}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 5, 7}, "Day"], DateObject[{2024, 6, 27}, "Day"], DateObject[{2025, 4, 28}, "Day"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2024, 6, 27}, "Day"], DateObject[{2025, 3, 12}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2024, 5, 7}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 10, 9}, "Day"], DateObject[{2024, 7, 23}, "Day"], DateObject[{2023, 6, 7}, "Day"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 3, 12}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 4, 22}, "Day"], DateObject[{2024, 4, 22}, "Day"], DateObject[{2024, 9, 19}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 10, 9}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2024, 4, 22}, "Day"], DateObject[{2024, 8, 8}, "Day"], DateObject[{2024, 12, 16}, "Day"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 10, 21}, "Day"], DateObject[{2024, 12, 16}, "Day"], DateObject[{2025, 4, 8}, "Day"], DateObject[{2024, 10, 21}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 1, 11}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 2, 20}, "Day"], DateObject[{2023, 10, 30}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 9, 17}, "Day"], DateObject[{2025, 4, 16}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 5, 20}, "Day"], DateObject[{2025, 4, 8}, "Day"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2023, 6, 5}, "Day"], DateObject[{2024, 9, 25}, "Day"], DateObject[{2025, 5, 20}, "Day"], DateObject[{2025, 4, 28}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 2, 19}, "Day"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2024, 8, 17}, "Day"], DateObject[{2024, 12, 17}, "Day"], DateObject[{2024, 9, 30}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2023, 3, 16}, "Day"], DateObject[{2023, 5, 1}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2023, 7, 18}, "Day"], DateObject[{2024, 10, 21}, "Day"], DateObject[{2024, 12, 16}, "Day"], DateObject[{2024, 1, 25}, "Day"], DateObject[{2024, 9, 19}, "Day"], DateObject[{2024, 7, 31}, "Day"], DateObject[{2023, 6, 5}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 11, 12}, "Day"], DateObject[{2023, 6, 5}, "Day"], DateObject[{2024, 9, 30}, "Day"], DateObject[{2024, 5, 3}, "Day"], DateObject[{2023, 12, 11}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2024, 5, 3}, "Day"], DateObject[{2024, 2, 15}, "Day"], DateObject[{2023, 6, 5}, "Day"], DateObject[{2024, 9, 25}, "Day"], DateObject[{2024, 2, 15}, "Day"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2024, 5, 7}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 3, 12}, "Day"], DateObject[{2023, 10, 9}, "Day"], DateObject[{2023, 7, 18}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2023, 3, 16}, "Day"], DateObject[{2024, 7, 19}, "Day"], Missing["KeyAbsent", "ReleaseDate"], DateObject[{2025, 8, 14}, "Day"], Missing["KeyAbsent", "ReleaseDate"], Missing["KeyAbsent", "ReleaseDate"]}]], TabularColumn[Association["Data" -> {{3, {0, 45, 91, 137, 183, 231, 288, 334, 373, 412, 463, 535, 559, 607, 644, 710, 749, 788, 860, 902, 1005, 1060, 1117, 1159, 1217, 1262, 1345, 1381, 1427, 1482, 1554, 1599, 1658, 1746, 1791, 1848, 1903, 1948, 1993, 2040, 2064, 2115, 2160, 2205, 2253, 2389, 2447, 2504, 2548, 2593, 2638, 2663, 2701, 2735, 2781, 2849, 2896, 2979, 3051, 3099, 3144, 3208, 3280, 3350, 3388, 3461, 3543, 3579, 3616, 3661, 3716, 3769, 3820, 3873, 3945, 3991, 4027, 4075, 4118, 4170, 4201, 4246, 4289, 4332, 4387, 4423, 4459, 4506, 4546, 4629, 4682, 4733, 4801, 4837, 4885, 4942, 4990, 5017, 5046, 5094, 5118, 5164, 5189, 5230, 5268, 5359, 5417, 5460, 5523, 5559, 5599, 5647, 5732, 5814, 5859, 5923, 5963, 6011, 6064, 6128, 6179, 6224, 6290, 6342, 6389, 6437, 6492, 6553, 6606, 6657, 6692, 6744, 6795, 6841, 6877, 6945, 7037, 7093, 7117, 7165, 7197, 7245, 7312, 7350, 7396, 7449, 7474, 7514, 7586, 7660, 7728, 7763, 7796, 7831, 7869, 7936, 7994, 8076, 8107, 8154, 8193, 8249, 8299, 8371, 8421, 8489, 8539, 8595, 8642, 8716, 8766, 8822, 8893, 8932, 8969, 9001, 9034, 9065, 9127, 9156, 9208, 9241, 9288, 9327, 9372, 9508, 9558, 9619, 9667, 9737, 9772, 9823, 9868, 9913, 9958, 10010, 10046, 10090, 10146, 10184, 10223, 10297, 10344, 10387, 10438, 10481, 10528, 10578, 10623, 10664, 10708, 10749, 10794, 10852, 10898, 10937, 10983, 11039, 11086, 11149, 11206, 11268, 11303, 11348, 11406, 11497, 11571, 11605, 11645, 11707, 11775, 11832, 11869, 11975, 12049, 12099, 12152, 12198, 12256, 12289, 12374, 12419, 12477, 12562, 12608, 12676, 12742, 12780, 12837, 12878, 12946, 13012, 13055, 13105, 13155, 13208, 13295, 13336, 13422, 13481, 13527, 13578, 13650, 13681, 13734, 13771, 13871, 13941, 14003, 14048, 14084, 14122, 14167, 14273, 14322, 14374, 14434, 14521, 14556, 14601, 14675, 14734, 14801, 14851, 14881, 14939, 14996, 15040, 15109, 15144, 15186, 15224, 15281, 15322, 15386, 15429, 15478, 15521, 15579, 15637, 15690, 15754, 15813, 15879, 15909, 15995, 16039, 16084, 16120, 16220, 16278, 16336, 16389, 16495, 16571, 16637, 16695, 16731, 16783, 16835, 16885, 16939, 16974, 17020, 17107, 17156, 17232, 17284, 17355, 17419, 17483, 17546, 17584, 17629, 17705, 17762, 17813, 17889, 17935, 17988, 18035, 18093, 18146, 18222, 18298, 18364, 18440, 18546, 18602, 18659, 18709, 18758, 18829, 18872, 18920, 18966, 19023, 19085, 19143, 19189}, "https://blog.google/products/gemini/gemini-3/https://www.anthropic.com/news/claude-opus-4-5https://www.anthropic.com/news/claude-opus-4-5https://www.anthropic.com/news/claude-opus-4-1https://www.anthropic.com/news/claude-sonnet-4-5https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507https://www.anthropic.com/news/claude-opus-4-1https://www.anthropic.com/news/claude-4https://www.anthropic.com/news/claude-4https://moonshotai.github.io/Kimi-K2/thinking.html https://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://x.ai/news/grok-4https://www.anthropic.com/news/claude-sonnet-4-5https://moonshotai.github.io/Kimi-K2/https://blog.google/products/gemini/gemini-2-5-pro-latest-preview/https://www.anthropic.com/news/claude-4https://www.anthropic.com/news/claude-4https://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://qwenlm.github.io/blog/qwen2.5-max/https://qwen.ai/blog?id=241398b9cd6353de490b0f82806c7848c5d2777d&from=research.latest-advancements-listhttps://huggingface.co/moonshotai/Kimi-K2-Instruct-0905https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507https://qwenlm.github.io/blog/qwen3-coder/https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instructhttps://aws.amazon.com/ai/generative-ai/nova/https://developers.googleblog.com/en/gemini-2-5-pro-io-improved-coding-performance/https://qwenlm.github.io/blog/qwen3/https://huggingface.co/deepseek-ai/DeepSeek-R1https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinkinghttps://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://api-docs.deepseek.com/news/news250929https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405Bhttps://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/https://api-docs.deepseek.com/news/news250922https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507https://platform.openai.com/docs/models/gpt-4.5-previewhttps://api-docs.deepseek.com/news/news250922https://api-docs.deepseek.com/news/news250929https://www.anthropic.com/news/claude-haiku-4-5https://x.ai/news/grok-3https://huggingface.co/deepseek-ai/DeepSeek-V3-0324https://platform.openai.com/docs/models/o1#o1https://api-docs.deepseek.com/news/news250821https://www.anthropic.com/news/claude-3-7-sonnethttps://developers.googleblog.com/en/continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release/https://www.anthropic.com/news/3-5-models-and-computer-usehttps://docs.mistral.ai/models/magistral-medium-1-2-25-09https://deepmind.google/models/gemini/flash/https://api-docs.deepseek.com/news/news251201https://platform.openai.com/docs/models/o1#o1https://z.ai/blog/glm-4.6https://qwenlm.github.io/blog/qwq-32b/https://x.ai/news/grok-code-fast-1https://huggingface.co/deepseek-ai/DeepSeek-V3https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://platform.openai.com/docs/models/gpt-5.1https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4#gpt-4-turbo-and-gpt-4https://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://www.anthropic.com/news/claude-3-7-sonnethttps://platform.openai.com/docs/models/gpt-5https://ai.google.dev/gemini-api/docs/models/experimental-modelshttps://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/https://qwenlm.github.io/blog/qwen2.5/https://developers.googleblog.com/en/start-building-with-gemini-25-flash/https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/https://nexusflow.ai/blogs/athene-v2https://mistral.ai/news/devstral-2507https://api-docs.deepseek.com/news/news251201https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507https://platform.openai.com/docs/models/gpt-4o#gpt-4ohttps://platform.openai.com/docs/models/gpt-5-codexhttps://platform.openai.com/docs/models/gpt-4o#gpt-4ohttps://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://huggingface.co/deepseek-ai/DeepSeek-R1https://qwenlm.github.io/blog/qwen3/https://platform.openai.com/docs/models/#o4-minihttps://platform.openai.com/docs/models/#o3https://huggingface.co/ai21labs/AI21-Jamba-Large-1.7https://x.ai/news/grok-4-1-fasthttps://api-docs.deepseek.com/news/news250821https://mistral.ai/news/mistral-large-2407/https://mistral.ai/news/mistral-large-2407/https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instructhttps://qwenlm.github.io/blog/qwen3/https://qwenlm.github.io/blog/qwen3/https://platform.openai.com/docs/models/gpt-4.1https://mistral.ai/news/mistral-medium-3https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4#gpt-4-turbo-and-gpt-4https://platform.openai.com/docs/models/gpt-4o#gpt-4ohttps://ai.google.dev/gemini-api/docs/thinking-modehttps://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://qwenlm.github.io/blog/qwen3/https://platform.openai.com/docs/models/#o3-minihttps://docs.mistral.ai/models/magistral-medium-1-1-25-07https://deepmind.google/technologies/gemini/pro/https://x.ai/blog/grok-1212https://x.ai/news/grok-4-fasthttps://deepmind.google/technologies/gemini/pro/https://x.ai/blog/grok-2https://www.anthropic.com/news/claude-3-familyhttps://z.ai/blog/glm-4.5https://qwenlm.github.io/blog/qwen2-math/https://qwenlm.github.io/blog/qwen2.5/https://aws.amazon.com/about-aws/whats-new/2025/12/nova-2-foundation-models-amazon-bedrock/https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-70Bhttps://mistral.ai/news/mistral-large-2407/https://build.nvidia.com/nvidia/llama-3_1-nemotron-70b-instructhttps://qwenlm.github.io/blog/qwen3/https://github.com/MiniMax-AI/MiniMax-M1https://www.anthropic.com/news/claude-3-5-sonnethttps://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/https://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/https://platform.openai.com/docs/models/o1#o1https://ai.google.dev/gemini-api/docs/models/experimental-modelshttps://github.com/MiniMax-AI/MiniMax-M2https://www.ai21.com/blog/introducing-jamba-1-6/https://www.deepcogito.com/research/cogito-v1-previewhttps://ai.google.dev/gemini-api/docs/models/experimental-modelshttps://ai.google.dev/gemini-api/docs/thinking-modehttps://aws.amazon.com/ai/generative-ai/nova/https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_2https://platform.openai.com/docs/models/gpt-4.1-minihttps://platform.openai.com/docs/models/gpt-5.1https://platform.openai.com/docs/models/#o3-minihttps://docs.mistral.ai/models/mistral-medium-3-1-25-08https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instructhttps://www.deepcogito.com/research/cogito-v1-previewhttps://qwenlm.github.io/blog/qwen2.5-coder-family/https://huggingface.co/blog/falcon3https://platform.openai.com/docs/models/gpt-oss-120bhttps://qwenlm.github.io/blog/qwen2.5-coder-family/https://qwenlm.github.io/blog/qwq-32b-preview/https://qwenlm.github.io/blog/qwen3/https://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://qwen.ai/blog?id=d927d7d2e59d059045ce758ded34f98c0186d2d7&from=research.research-listhttps://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instructhttps://x.ai/news/grok-3https://huggingface.co/deepseek-ai/DeepSeek-V2.5https://github.com/zai-org/GLM-4https://deepmind.google/technologies/gemini/pro/https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/https://mistral.ai/news/pixtral-large/https://huggingface.co/Qwen/Qwen2-72B-Instructhttps://www.deepcogito.com/research/cogito-v1-previewhttps://z.ai/blog/glm-4.5https://github.com/MiniMax-AI/MiniMax-01https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/texthttps://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://huggingface.co/blog/falcon3https://cohere.com/blog/command-ahttps://huggingface.co/blog/falcon3https://qwenlm.github.io/blog/qwen2.5/https://platform.openai.com/docs/models/gpt-3-5-turbo#gpt-3-5-turbohttps://www.anthropic.com/news/3-5-models-and-computer-usehttps://blog.google/technology/google-deepmind/gemini-model-updates-february-2025/https://allenai.org/blog/tulu-3https://docs.mistral.ai/getting-started/models/https://mistral.ai/news/codestral-25-08https://www.ai21.com/blog/announcing-jamba-model-family/https://deepmind.google/technologies/gemini/flash/https://www.alibabacloud.com/help/en/model-studio/getting-started/modelshttps://deepmind.google/technologies/gemini/flash/https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506https://platform.openai.com/docs/models/gpt-5-minihttps://docs.mistral.ai/models/magistral-small-1-2-25-09https://docs.mistral.ai/getting-started/models/https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-code-llamahttps://platform.openai.com/docs/models/gpt-5-nanohttps://build.nvidia.com/nvidia/nemotron-4-340b-instructhttps://developers.googleblog.com/en/gemini-2-5-thinking-model-updates/https://huggingface.co/01-ai/Yi-1.5-34Bhttps://mistral.ai/news/devstral-2507https://mistral.ai/news/devstralhttps://nexusflow.ai/blogs/athenehttps://x.ai/news/grok-4-1-fasthttps://huggingface.co/CohereForAI/c4ai-command-r-plus-08-2024https://x.ai/news/grok-4-fasthttps://platform.openai.com/docs/models/gpt-oss-120bhttps://mistral.ai/news/magistralhttps://docs.mistral.ai/getting-started/models/https://mistral.ai/news/codestral-2501/https://mistral.ai/news/september-24-release/https://developers.googleblog.com/en/continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release/https://deepmind.google/technologies/gemini/flash/https://huggingface.co/nvidia/NVIDIA-Nemotron-Nano-9B-v2-Basehttps://www.ai21.com/blog/introducing-jamba-1-6/https://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/https://huggingface.co/blog/falcon3https://huggingface.co/ai21labs/AI21-Jamba-Mini-1.7https://ai.google.dev/gemma/docs/model_card_2https://huggingface.co/Qwen/Qwen1.5-110B-Chathttps://ai.google.dev/gemma/docs/model_card_2https://platform.openai.com/docs/models/gpt-4.1-nanohttps://qwenlm.github.io/blog/qwen3/https://qwenlm.github.io/blog/qwen2.5-coder/https://www.ai21.com/blog/announcing-jamba-model-family/https://qwenlm.github.io/blog/qwen2.5/https://huggingface.co/AIDC-AI/Marco-o1https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-code-llamahttps://docs.mistral.ai/getting-started/models/https://mistral.ai/en/news/mistral-small-3/https://huggingface.co/Qwen/Qwen2-57B-A14B-Instructhttps://huggingface.co/01-ai/Yi-1.5-9B-Chathttps://huggingface.co/databricks/dbrx-instructhttps://huggingface.co/CohereForAI/aya-expanse-32bhttps://huggingface.co/Qwen/Qwen2-7B-Instructhttps://mistral.ai/news/mistral-small-3-1https://huggingface.co/sail/Sailor2-20B-Chathttps://www.anthropic.com/news/claude-2-1https://aws.amazon.com/ai/generative-ai/nova/https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-32B-Instructhttps://huggingface.co/deepseek-ai/DeepSeek-V2https://www.anthropic.com/news/claude-2https://www.anthropic.com/news/claude-3-familyhttps://docs.mistral.ai/models/magistral-small-1-1-25-07https://docs.mistral.ai/getting-started/models/https://platform.openai.com/docs/models/gpt-4o-mini#gpt-4o-minihttps://huggingface.co/CohereForAI/c4ai-command-r-08-2024https://huggingface.co/deepseek-ai/deepseek-coder-7b-base-v1.5https://huggingface.co/blog/falcon3https://huggingface.co/Qwen/Qwen2-7B-Instructhttps://huggingface.co/deepseek-ai/deepseek-coder-33b-basehttps://developers.googleblog.com/en/gemini-15-flash-8b-is-now-generally-available-for-use/https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-code-llamahttps://mistral.ai/news/mathstral/https://mistral.ai/news/codestral-mamba/https://huggingface.co/ibm-granite/granite-8b-code-instruct-4khttps://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8Bhttps://mistral.ai/news/mistral-saba/https://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/texthttps://ai.google.dev/gemma/docs/core/model_card_3https://huggingface.co/Groq/Llama-3-Groq-70B-Tool-Usehttps://www.anthropic.com/news/claude-3-familyhttps://huggingface.co/ibm-granite/granite-3.0-8b-instructhttps://mistral.ai/news/magistralhttps://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/code-generationhttps://aws.amazon.com/ai/generative-ai/nova/https://huggingface.co/ibm-granite/granite-3.1-8b-instructhttps://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/code-completionhttps://huggingface.co/Salesforce/xLAM-7b-fc-rhttps://llama.meta.com/docs/model-cards-and-prompt-formats/llama3_1/https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instructhttps://huggingface.co/microsoft/phi-4https://deepmind.google/technologies/gemini/#introductionhttps://qwenlm.github.io/blog/qwen2-math/https://huggingface.co/ibm-granite/granite-20b-code-instruct-8k-GGUFhttps://www.llama.com/docs/model-cards-and-prompt-formats/llama3_2https://huggingface.co/01-ai/Yi-1.5-6B-Chathttps://huggingface.co/infly/OpenCoder-8B-Instructhttps://huggingface.co/Nexusflow/NexusRaven-V2-13Bhttps://ai.google.dev/gemma/docs/codegemma/model_cardhttps://01-ai.github.io/blog.html?post=en/2024-09-05-A-Small-but-Mighty-LLM-for-Code.mdhttps://qwenlm.github.io/blog/qwen2-math/https://www.ibm.com/new/announcements/ibm-granite-3-2-open-source-reasoning-and-visionhttps://huggingface.co/deepseek-ai/deepseek-coder-6.7b-basehttps://www.liquid.ai/liquid-foundation-modelshttps://qwenlm.github.io/blog/qwen2.5-coder-family/https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/https://allenai.org/blog/tulu-3https://ai.google.dev/gemma/docs/codegemma/model_cardhttps://mistral.ai/news/mistral-nemo/https://www.ibm.com/new/announcements/ibm-granite-3-3-speech-recognition-refined-reasoning-rag-lorashttps://huggingface.co/cognitivecomputations/dolphin-2.9.4-llama3.1-8bhttps://huggingface.co/ibm-granite/granite-3b-code-instruct-2khttps://ai.google.dev/gemma/docs/model_card_2https://qwenlm.github.io/blog/qwen3/https://qwenlm.github.io/blog/qwen2.5/https://ai.google.dev/gemma/docs/model_card_2https://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/https://www.upstage.ai/products/solar-pro-previewhttps://huggingface.co/Groq/Llama-3-Groq-8B-Tool-Usehttps://huggingface.co/ibm-granite/granite-34b-code-instructhttps://01-ai.github.io/blog.html?post=en/2024-09-05-A-Small-but-Mighty-LLM-for-Code.mdhttps://mistral.ai/news/ministraux/https://huggingface.co/tiiuae/falcon-mamba-7bhttps://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/texthttps://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instructhttps://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8Bhttps://ai.google.dev/gemma/docs/core/model_card_3https://allenai.org/blog/olmo2https://huggingface.co/microsoft/Phi-3-small-128k-instructhttps://huggingface.co/microsoft/Phi-3-medium-4k-instructhttps://qwenlm.github.io/blog/qwen2.5-coder/https://huggingface.co/cognitivecomputations/dolphin-2.9.1-yi-1.5-34bhttps://mistral.ai/news/ministraux/https://www.upstage.ai/products/solar-minihttps://qwenlm.github.io/blog/qwen2.5/https://huggingface.co/microsoft/Phi-3-mini-128k-instructhttps://qwenlm.github.io/blog/qwen2-math/https://huggingface.co/ibm-granite/granite-3.1-3b-a800m-instructhttps://huggingface.co/sail/Sailor2-8B-Chathttps://huggingface.co/CohereForAI/aya-expanse-8bhttps://www.lgresearch.ai/blog/view?seq=460https://huggingface.co/ibm-granite/granite-3.0-2b-instructhttps://huggingface.co/ibm-granite/granite-3.1-2b-instructhttps://www.deepcogito.com/research/cogito-v1-previewhttps://huggingface.co/ibm-granite/granite-3.0-3b-a800m-instructhttps://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instructhttps://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPOhttps://allenai.org/blog/olmo2https://www.ibm.com/new/announcements/ibm-granite-3-2-open-source-reasoning-and-visionhttps://huggingface.co/openchat/openchat_3.5https://huggingface.co/CohereForAI/aya-23-35Bhttps://mistral.ai/news/pixtral-12b/https://www.ibm.com/new/announcements/ibm-granite-3-3-speech-recognition-refined-reasoning-rag-lorashttps://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instructhttps://developers.googleblog.com/en/introducing-gemma-3n/https://www.deepcogito.com/research/cogito-v1-previewhttps://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/https://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://www.llama.com/docs/model-cards-and-prompt-formats/llama3_2https://developers.googleblog.com/en/introducing-gemma-3n/https://qwenlm.github.io/blog/qwen3/https://huggingface.co/infly/OpenCoder-1.5B-Instructhttps://huggingface.co/microsoft/Phi-4-mini-instructhttps://ai.google.dev/gemma/docs/core/model_card_3https://huggingface.co/microsoft/Phi-3.5-mini-instructhttps://huggingface.co/blog/falcon3https://www.liquid.ai/liquid-foundation-modelshttps://01-ai.github.io/blog.html?post=en/2024-09-05-A-Small-but-Mighty-LLM-for-Code.mdhttps://huggingface.co/tiiuae/falcon-40b-instructhttps://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://huggingface.co/internlm/internlm2_5-20b-chathttps://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-2https://huggingface.co/ibm-granite/granite-3.0-1b-a400m-instructhttps://huggingface.co/ibm-granite/granite-3.1-1b-a400m-instructhttps://huggingface.co/deepseek-ai/deepseek-coder-1.3b-instructhttps://qwenlm.github.io/blog/qwen2.5/https://ai.google.dev/gemma/docs/model_card_2https://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instructhttps://qwenlm.github.io/blog/qwen2.5-coder-family/https://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://www.liquid.ai/liquid-foundation-modelshttps://ai.google.dev/gemma/docs/codegemma/model_cardhttps://docs.mistral.ai/getting-started/models/https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instructhttps://ai.google.dev/gemma/docs/codegemma/model_cardhttps://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://www.llama.com/docs/model-cards-and-prompt-formats/llama3_2https://docs.aleph-alpha.com/docs/introduction/model-card/#model-descriptionhttps://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/https://huggingface.co/openchat/openchat-3.6-8b-20240522https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instructhttps://ai.google.dev/gemma/docs/core/model_card_3https://huggingface.co/replit/replit-code-v1_5-3bhttps://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-2https://huggingface.co/sail/Sailor2-1B-Chathttps://huggingface.co/tiiuae/falcon-7b-instructhttps://huggingface.co/nvidia/Minitron-4B-Basehttps://huggingface.co/HuggingFaceTB/SmolLM-135M-Instructhttps://developers.googleblog.com/en/introducing-gemma-3-270m/https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instructhttps://huggingface.co/Salesforce/xLAM-1b-fc-r"}, {}, None}, "ElementType" -> "String"]], TabularColumn[Association["Data" -> {{3, {0, 22, 48, 74, 100, 126, 151, 177, 203, 229, 253, 278, 291, 317, 341, 363, 389, 415, 440, 465, 490, 514, 539, 564, 589, 612, 634, 659, 684, 709, 734, 759, 784, 806, 831, 856, 875, 900, 925, 951, 964, 989, 1008, 1033, 1059, 1081, 1107, 1126, 1148, 1173, 1192, 1205, 1230, 1243, 1268, 1288, 1307, 1326, 1351, 1377, 1396, 1418, 1443, 1463, 1488, 1510, 1532, 1553, 1572, 1597, 1622, 1641, 1660, 1679, 1704, 1729, 1754, 1773, 1792, 1813, 1826, 1851, 1870, 1889, 1914, 1939, 1964, 1983, 2002, 2021, 2040, 2062, 2082, 2107, 2126, 2145, 2167, 2180, 2193, 2215, 2228, 2254, 2267, 2292, 2317, 2340, 2365, 2384, 2426, 2451, 2474, 2500, 2522, 2544, 2563, 2585, 2608, 2629, 2656, 2678, 2700, 2723, 2743, 2762, 2781, 2800, 2819, 2844, 2871, 2896, 2921, 2940, 2965, 2990, 3015, 3035, 3060, 3085, 3098, 3123, 3136, 3158, 3178, 3197, 3222, 3249, 3262, 3285, 3305, 3327, 3347, 3372, 3391, 3416, 3441, 3460, 3486, 3508, 3528, 3547, 3566, 3587, 3609, 3634, 3656, 3675, 3694, 3713, 3732, 3752, 3771, 3813, 3835, 3853, 3872, 3891, 3912, 3925, 3944, 3957, 3976, 3995, 4014, 4033, 4052, 4074, 4096, 4138, 4159, 4179, 4204, 4225, 4247, 4272, 4294, 4313, 4338, 4363, 4384, 4409, 4429, 4449, 4468, 4487, 4512, 4530, 4572, 4591, 4616, 4635, 4656, 4682, 4705, 4731, 4756, 4782, 4808, 4827, 4846, 4865, 4884, 4909, 4934, 4959, 4984, 5006, 5026, 5045, 5064, 5091, 5111, 5136, 5155, 5177, 5199, 5221, 5238, 5264, 5291, 5310, 5332, 5355, 5382, 5404, 5441, 5461, 5486, 5579, 5601, 5626, 5653, 5673, 5691, 5712, 5733, 5755, 5773, 5798, 5825, 5850, 5872, 5897, 5917, 5937, 5959, 5978, 6005, 6049, 6076, 6098, 6123, 6148, 6170, 6192, 6215, 6232, 6259, 6277, 6296, 6321, 6343, 6369, 6413, 6435, 6455, 6548, 6641, 6666, 6710, 6729, 6752, 6777, 6870, 6895, 6922, 6943, 6962, 6988, 7015, 7042, 7069, 7096, 7122, 7147, 7167, 7194, 7229, 7248, 7267, 7294, 7317, 7339, 7366, 7388, 7412, 7432, 7454, 7479, 7500, 7593, 7615, 7708, 7733, 7755, 7773, 7798, 7822, 7856, 7876, 7903, 7930, 7955, 7980, 8002, 8026, 8049, 8074, 8098, 8120, 8142, 8161, 8184, 8206, 8230, 8254, 8274, 8298, 8320, 8355, 8378, 8400, 8429, 8449, 8470, 8495, 8537, 8560, 8582, 8605, 8642}, "https://ai.google.dev/https://www.anthropic.com/https://www.anthropic.com/https://www.anthropic.com/https://www.anthropic.com/https://qwenlm.github.io/https://www.anthropic.com/https://www.anthropic.com/https://www.anthropic.com/https://www.moonshot.ai/https://qwenlm.github.io/https://x.ai/https://www.anthropic.com/https://www.moonshot.ai/https://ai.google.dev/https://www.anthropic.com/https://www.anthropic.com/https://qwenlm.github.io/https://qwenlm.github.io/https://qwenlm.github.io/https://www.moonshot.ai/https://qwenlm.github.io/https://qwenlm.github.io/https://qwenlm.github.io/https://aws.amazon.com/https://ai.google.dev/https://qwenlm.github.io/https://www.deepseek.com/https://qwenlm.github.io/https://qwenlm.github.io/https://www.deepseek.com/https://nousresearch.com/https://ai.google.dev/https://www.deepseek.com/https://qwenlm.github.io/https://openai.com/https://www.deepseek.com/https://www.deepseek.com/https://www.anthropic.com/https://x.ai/https://www.deepseek.com/https://openai.com/https://www.deepseek.com/https://www.anthropic.com/https://ai.google.dev/https://www.anthropic.com/https://mistral.ai/https://ai.google.dev/https://www.deepseek.com/https://openai.com/https://z.ai/https://qwenlm.github.io/https://x.ai/https://www.deepseek.com/https://ai.meta.com/https://openai.com/https://openai.com/https://qwenlm.github.io/https://www.anthropic.com/https://openai.com/https://ai.google.dev/https://qwenlm.github.io/https://ai.meta.com/https://qwenlm.github.io/https://ai.google.dev/https://ai.google.dev/https://nexusflow.ai/https://mistral.ai/https://www.deepseek.com/https://qwenlm.github.io/https://openai.com/https://openai.com/https://openai.com/https://qwenlm.github.io/https://www.deepseek.com/https://qwenlm.github.io/https://openai.com/https://openai.com/https://www.ai21.com/https://x.ai/https://www.deepseek.com/https://mistral.ai/https://mistral.ai/https://qwenlm.github.io/https://qwenlm.github.io/https://qwenlm.github.io/https://openai.com/https://mistral.ai/https://openai.com/https://openai.com/https://ai.google.dev/https://ai.meta.com/https://qwenlm.github.io/https://openai.com/https://mistral.ai/https://ai.google.dev/https://x.ai/https://x.ai/https://ai.google.dev/https://x.ai/https://www.anthropic.com/https://z.ai/https://qwenlm.github.io/https://qwenlm.github.io/https://aws.amazon.com/https://nousresearch.com/https://mistral.ai/https://www.nvidia.com/en-us/solutions/ai/https://qwenlm.github.io/https://www.minimax.io/https://www.anthropic.com/https://ai.google.dev/https://ai.google.dev/https://openai.com/https://ai.google.dev/https://www.minimax.io/https://www.ai21.com/https://www.deepcogito.com/https://ai.google.dev/https://ai.google.dev/https://aws.amazon.com/https://ai.meta.com/https://openai.com/https://openai.com/https://openai.com/https://mistral.ai/https://www.deepseek.com/https://www.deepcogito.com/https://qwenlm.github.io/https://falconllm.tii.ae/https://openai.com/https://qwenlm.github.io/https://qwenlm.github.io/https://qwenlm.github.io/https://ai.meta.com/https://qwenlm.github.io/https://qwenlm.github.io/https://x.ai/https://www.deepseek.com/https://z.ai/https://ai.google.dev/https://ai.meta.com/https://mistral.ai/https://qwenlm.github.io/https://www.deepcogito.com/https://z.ai/https://www.minimax.io/https://ai.meta.com/https://ai.google.dev/https://ai.meta.com/https://falconllm.tii.ae/https://cohere.com/https://falconllm.tii.ae/https://qwenlm.github.io/https://openai.com/https://www.anthropic.com/https://ai.google.dev/https://allenai.org/https://mistral.ai/https://mistral.ai/https://www.ai21.com/https://ai.google.dev/https://qwenlm.github.io/https://ai.google.dev/https://mistral.ai/https://openai.com/https://mistral.ai/https://mistral.ai/https://ai.meta.com/https://openai.com/https://www.nvidia.com/en-us/solutions/ai/https://ai.google.dev/https://www.01.ai/https://mistral.ai/https://mistral.ai/https://nexusflow.ai/https://x.ai/https://cohere.com/https://x.ai/https://openai.com/https://mistral.ai/https://mistral.ai/https://mistral.ai/https://mistral.ai/https://ai.google.dev/https://ai.google.dev/https://www.nvidia.com/en-us/solutions/ai/https://www.ai21.com/https://ai.meta.com/https://falconllm.tii.ae/https://www.ai21.com/https://ai.google.dev/https://qwenlm.github.io/https://ai.google.dev/https://openai.com/https://qwenlm.github.io/https://qwenlm.github.io/https://www.ai21.com/https://qwenlm.github.io/https://aidc-ai.com/https://ai.meta.com/https://mistral.ai/https://mistral.ai/https://qwenlm.github.io/https://www.01.ai/https://www.databricks.com/research/mosaichttps://cohere.com/https://qwenlm.github.io/https://mistral.ai/https://sail.sea.com/https://www.anthropic.com/https://aws.amazon.com/https://www.lgresearch.ai/https://www.deepseek.com/https://www.anthropic.com/https://www.anthropic.com/https://mistral.ai/https://mistral.ai/https://openai.com/https://cohere.com/https://www.deepseek.com/https://falconllm.tii.ae/https://qwenlm.github.io/https://www.deepseek.com/https://ai.google.dev/https://ai.meta.com/https://mistral.ai/https://mistral.ai/https://www.ibm.com/granitehttps://ai.meta.com/https://nousresearch.com/https://mistral.ai/https://ai.google.dev/https://ai.google.dev/https://ai.google.dev/https://groq.com/https://www.anthropic.com/https://www.ibm.com/granitehttps://mistral.ai/https://ai.google.dev/https://aws.amazon.com/https://www.ibm.com/granitehttps://ai.google.dev/https://www.salesforceairesearch.com/https://ai.meta.com/https://www.deepseek.com/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://ai.google.dev/https://qwenlm.github.io/https://www.ibm.com/granitehttps://ai.meta.com/https://www.01.ai/https://www.infly.cn/https://nexusflow.ai/https://ai.google.dev/https://www.01.ai/https://qwenlm.github.io/https://www.ibm.com/granitehttps://www.deepseek.com/https://www.liquid.ai/https://qwenlm.github.io/https://ai.meta.com/https://allenai.org/https://ai.google.dev/https://mistral.ai/https://www.ibm.com/granitehttps://huggingface.co/cognitivecomputationshttps://www.ibm.com/granitehttps://ai.google.dev/https://qwenlm.github.io/https://qwenlm.github.io/https://ai.google.dev/https://ai.google.dev/https://www.upstage.ai/https://groq.com/https://www.ibm.com/granitehttps://www.01.ai/https://mistral.ai/https://falconllm.tii.ae/https://ai.google.dev/https://www.lgresearch.ai/https://huggingface.co/cognitivecomputationshttps://ai.google.dev/https://allenai.org/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://qwenlm.github.io/https://huggingface.co/cognitivecomputationshttps://mistral.ai/https://www.upstage.ai/https://qwenlm.github.io/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://qwenlm.github.io/https://www.ibm.com/granitehttps://sail.sea.com/https://cohere.com/https://www.lgresearch.ai/https://www.ibm.com/granitehttps://www.ibm.com/granitehttps://www.deepcogito.com/https://www.ibm.com/granitehttps://www.lgresearch.ai/https://nousresearch.com/https://allenai.org/https://www.ibm.com/granitehttps://github.com/imoneoi/openchathttps://cohere.com/https://mistral.ai/https://www.ibm.com/granitehttps://huggingface.co/https://ai.google.dev/https://www.deepcogito.com/https://ai.google.dev/https://aleph-alpha.com/https://ai.meta.com/https://ai.google.dev/https://qwenlm.github.io/https://www.infly.cn/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://ai.google.dev/https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/https://falconllm.tii.ae/https://www.liquid.ai/https://www.01.ai/https://falconllm.tii.ae/https://aleph-alpha.com/https://internlm.intern-ai.org.cn/https://ai.meta.com/https://www.ibm.com/granitehttps://www.ibm.com/granitehttps://www.deepseek.com/https://qwenlm.github.io/https://ai.google.dev/https://aleph-alpha.com/https://huggingface.co/https://qwenlm.github.io/https://aleph-alpha.com/https://www.liquid.ai/https://ai.google.dev/https://mistral.ai/https://huggingface.co/https://ai.google.dev/https://aleph-alpha.com/https://aleph-alpha.com/https://ai.meta.com/https://aleph-alpha.com/https://ai.google.dev/https://github.com/imoneoi/openchathttps://huggingface.co/https://ai.google.dev/https://huggingface.co/replithttps://ai.meta.com/https://sail.sea.com/https://falconllm.tii.ae/https://www.nvidia.com/en-us/solutions/ai/https://huggingface.co/https://ai.google.dev/https://huggingface.co/https://www.salesforceairesearch.com/"}, {}, None}, "ElementType" -> "String"]], TabularColumn[Association["Data" -> {{1., 0.999, 1., 0.999, 1., 1., 0.999, 0.999, 0.999, 1., 1., 0.993, 0.999, 0.995, 0.999, 1., 0.997, 0.997, 1., 0.997, 0.994, 0.999, 0.997, 0.999, 0.999, 1., 0.993, 0.996, 0.999, 0.997, 0.973, 1., 0.999, 0.976, 0.995, 0.999, 0.99, 0.99, 0.999, 0.988, 0.966, 0.997, 0.99, 1., 1., 0.997, 0.997, 0.997, 0.999, 1., 0.999, 0.881, 1., 0.999, 0.997, 1., 0.998, 0.997, 0.997, 0.997, 0.996, 0.985, 0.991, 0.999, 0.994, 0.995, 0.997, 0.999, 0.997, 0.996, 1., 0.999, 0.999, 0.994, 0.915, 0.987, 0.998, 0.995, 0.994, 0.991, 0.976, 0.997, 0.997, 0.994, 0.997, 0.9520000000000001, 0.994, 0.999, 0.998, 1., 0.994, 0.999, 0.996, 0.988, 0.999, 0.997, 0.997, 0.997, 0.993, 0.996, 0.994, 0.984, 0.987, 0.999, 0.9440000000000001, 0.994, 0.996, 0.996, 0.981, 0.985, 0.997, 0.993, 0.993, 0.991, 0.987, 0.99, 0.999, 0.999, 0.993, 0.994, 0.991, 0.991, 0.984, 0.999, 0.993, 0.996, 0.993, 0.997, 0.994, 0.991, 0.996, 0.996, 0.985, 0.994, 0.994, 0.991, 0.993, 0.993, 0.999, 0.991, 0.99, 0.996, 0.987, 0.996, 0.996, 0.897, 0.992, 0.997, 0.996, 0.973, 0.991, 0.999, 0.996, 0.997, 0.99, 0.987, 0.99, 1., 0.984, 0.996, 0.987, 0.987, 0.993, 0.99, 0.992, 0.994, 0.997, 0.982, 0.997, 0.982, 0.982, 0.985, 1., 0.98, 0.974, 0.987, 0.976, 0.99, 0.986, 0.984, 0.988, 0.975, 0.997, 0.987, 0.974, 0.985, 0.961, 0.989, 0.9590000000000001, 0.979, 0.988, 0.99, 0.985, 0.99, 0.885, 0.985, 0.993, 0.968, 0.982, 0.988, 0.987, 0.975, 0.983, 0.976, 0.988, 0.997, 0.985, 0.988, 0.98, 0.985, 0.966, 0.981, 0.963, 0.991, 0.873, 0.987, 0.976, 0.884, 0.9420000000000001, 0.994, 0.921, 0.981, 0.993, 0.928, 0.967, 0.972, 0.984, 0.982, 0.934, 0.976, 0.975, 0.979, 0.9490000000000001, 0.981, 0.969, 0.923, 0.984, 0.981, 0.9450000000000001, 0.978, 0.982, 0.99, 0.981, 0.897, 0.93, 0.988, 0.984, 0.9450000000000001, 0.93, 0.988, 0.976, 0.987, 0.979, 0.969, 0.9540000000000001, 0.961, 0.909, 0.988, 0.891, 0.976, 0.981, 0.97, 0.978, 0.876, 0.976, 0.9540000000000001, 0.991, 0.9390000000000001, 0.97, 0.9510000000000001, 0.976, 0.973, 0.908, 0.9540000000000001, 0.96, 0.985, 0.967, 0.97, 0.9420000000000001, 0.9580000000000001, 0.9510000000000001, 0.9510000000000001, 0.936, 0.991, 0.9460000000000001, 0.936, 0.967, 0.9420000000000001, 0.9570000000000001, 0.963, 0.99, 0.896, 0.911, 0.964, 0.903, 0.912, 0.924, 0.96, 0.975, 0.922, 0.969, 0.9390000000000001, 0.799, 0.913, 0.9480000000000001, 0.882, 0.969, 0.931, 0.901, 0.967, 0.919, 0.9490000000000001, 0.9390000000000001, 0.8180000000000001, 0.9420000000000001, 0.9490000000000001, 0.808, 0.922, 0.854, 0.916, 0.794, 0.9420000000000001, 0.671, 0.882, 0.93, 0.868, 0.462, 0.914, 0.8220000000000001, 0.9550000000000001, 0.643, 0.9390000000000001, 0.924, 0.777, 0.973, 0.9570000000000001, 0.5630000000000001, 0.781, 0.869, 0.785, 0.922, 0.875, 0.6920000000000001, 0.624, 0.858, 0.763, 0.9390000000000001, 0.897, 0.9430000000000001, 0.894, 0.405, 0.264, 0.839, 0.453, 0.073, 0.917, 0.919, 0.8230000000000001, 0.228}, {}, None}, "ElementType" -> "Real64"]], TabularColumn[Association["Data" -> {{0.712, 0.6890000000000001, 0.651, 0.647, 0.642, 0.634, 0.632, 0.624, 0.618, 0.616, 0.615, 0.61, 0.605, 0.595, 0.591, 0.59, 0.588, 0.578, 0.5730000000000001, 0.5720000000000001, 0.5720000000000001, 0.5700000000000001, 0.5640000000000001, 0.559, 0.557, 0.556, 0.552, 0.551, 0.544, 0.542, 0.542, 0.541, 0.538, 0.53, 0.529, 0.528, 0.528, 0.525, 0.525, 0.523, 0.523, 0.522, 0.522, 0.521, 0.519, 0.519, 0.517, 0.517, 0.516, 0.51, 0.509, 0.508, 0.508, 0.506, 0.505, 0.504, 0.497, 0.496, 0.496, 0.495, 0.493, 0.492, 0.491, 0.49, 0.49, 0.489, 0.485, 0.483, 0.48, 0.47800000000000004, 0.47800000000000004, 0.47700000000000004, 0.47700000000000004, 0.47500000000000003, 0.47500000000000003, 0.47400000000000003, 0.47400000000000003, 0.47400000000000003, 0.47400000000000003, 0.47400000000000003, 0.47300000000000003, 0.47200000000000003, 0.47200000000000003, 0.468, 0.466, 0.466, 0.465, 0.463, 0.462, 0.462, 0.46, 0.458, 0.456, 0.456, 0.455, 0.455, 0.454, 0.451, 0.451, 0.444, 0.444, 0.443, 0.443, 0.443, 0.442, 0.441, 0.438, 0.438, 0.437, 0.437, 0.437, 0.436, 0.436, 0.435, 0.434, 0.433, 0.433, 0.433, 0.432, 0.432, 0.432, 0.43, 0.43, 0.428, 0.427, 0.426, 0.425, 0.425, 0.421, 0.418, 0.41600000000000004, 0.41400000000000003, 0.41300000000000003, 0.41300000000000003, 0.41300000000000003, 0.41200000000000003, 0.41200000000000003, 0.41000000000000003, 0.41000000000000003, 0.40900000000000003, 0.40800000000000003, 0.40700000000000003, 0.405, 0.402, 0.401, 0.397, 0.397, 0.396, 0.395, 0.394, 0.394, 0.392, 0.389, 0.385, 0.385, 0.385, 0.384, 0.382, 0.382, 0.378, 0.376, 0.376, 0.37, 0.37, 0.368, 0.367, 0.366, 0.361, 0.361, 0.357, 0.356, 0.355, 0.353, 0.353, 0.352, 0.35100000000000003, 0.35000000000000003, 0.34900000000000003, 0.34500000000000003, 0.34500000000000003, 0.34400000000000003, 0.34400000000000003, 0.343, 0.338, 0.338, 0.338, 0.335, 0.332, 0.329, 0.329, 0.323, 0.319, 0.318, 0.31, 0.306, 0.303, 0.302, 0.301, 0.3, 0.3, 0.3, 0.299, 0.297, 0.297, 0.295, 0.294, 0.292, 0.291, 0.29, 0.28800000000000003, 0.28500000000000003, 0.28500000000000003, 0.28300000000000003, 0.28300000000000003, 0.28200000000000003, 0.278, 0.277, 0.276, 0.276, 0.274, 0.273, 0.271, 0.268, 0.262, 0.26, 0.26, 0.258, 0.255, 0.254, 0.253, 0.253, 0.252, 0.252, 0.251, 0.251, 0.249, 0.248, 0.247, 0.246, 0.246, 0.246, 0.245, 0.245, 0.244, 0.244, 0.244, 0.243, 0.242, 0.241, 0.241, 0.23900000000000002, 0.23600000000000002, 0.23500000000000001, 0.234, 0.234, 0.233, 0.232, 0.23, 0.228, 0.227, 0.222, 0.221, 0.218, 0.218, 0.213, 0.213, 0.213, 0.211, 0.21, 0.20800000000000002, 0.20700000000000002, 0.20600000000000002, 0.203, 0.201, 0.197, 0.195, 0.194, 0.192, 0.192, 0.191, 0.191, 0.188, 0.187, 0.186, 0.185, 0.184, 0.182, 0.182, 0.179, 0.17400000000000002, 0.17400000000000002, 0.17200000000000001, 0.17, 0.169, 0.167, 0.167, 0.165, 0.163, 0.163, 0.163, 0.161, 0.16, 0.156, 0.155, 0.155, 0.152, 0.148, 0.14300000000000002, 0.14200000000000002, 0.136, 0.136, 0.136, 0.134, 0.132, 0.124, 0.124, 0.122, 0.122, 0.121, 0.12, 0.116, 0.115, 0.112, 0.111, 0.111, 0.109, 0.109, 0.107, 0.107, 0.107, 0.107, 0.105, 0.10400000000000001, 0.1, 0.091, 0.091, 0.091, 0.08600000000000001, 0.085, 0.082, 0.079, 0.077, 0.075, 0.07, 0.067, 0.066, 0.064, 0.063, 0.054, 0.049, 0.042, 0.037, 0.033, 0.033, 0.028, 0.022, 0.022, 0.013000000000000001, 0.003}, {}, None}, "ElementType" -> "Real64"]]}}]|>|>]