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97 lines
45 KiB
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0:{"buildId":"i-dnJM_MIpJSOCQWNJVMq","rsc":["$","$1","c",{"children":[["$","main",null,{"className":"mx-auto w-full max-w-2xl px-4 py-16","children":[["$","$L2",null,{"href":"/blog","className":"inline-flex items-center gap-1.5 text-sm text-fd-muted-foreground hover:text-fd-foreground mb-10 transition-colors","children":"← Back to Blog"}],["$","div",null,{"className":"mb-8","children":[["$","time",null,{"className":"text-xs font-mono text-fd-muted-foreground uppercase tracking-wider","children":"January 12, 2025"}],["$","h1",null,{"className":"text-3xl font-bold mt-2 mb-3","children":"Zen 3.0: The Next Generation of Open AI"}],["$","p",null,{"className":"text-fd-muted-foreground text-lg mb-4","children":"Announcing Zen 3.0, our most capable open model family yet."}],["$","div",null,{"className":"flex items-center gap-3 pt-4 border-t border-fd-border","children":[["$","span",null,{"className":"text-sm text-fd-muted-foreground","children":["By ","Zach Kelling"]}],["$","div",null,{"className":"flex gap-1.5 ml-auto","children":[["$","span","Announcement",{"className":"text-[10px] font-mono uppercase tracking-wider bg-fd-muted text-fd-muted-foreground px-1.5 py-0.5 rounded","children":"Announcement"}],["$","span","Models",{"className":"text-[10px] font-mono uppercase tracking-wider bg-fd-muted text-fd-muted-foreground px-1.5 py-0.5 rounded","children":"Models"}]]}]]}]]}],["$","div",null,{"className":"prose dark:prose-invert max-w-none","children":[["$","p",null,{"children":"Today we release Zen 3.0, our third-generation language model family. 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4:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"extended-context","children":[["$","a",null,{"data-card":"","href":"#extended-context","className":"peer","children":"Extended Context"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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5:["$","p",null,{"children":"All Zen 3 models support 128K token context natively:"}]
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6:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"RoPE extensions"}]," : Position interpolation with NTK-aware scaling"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Sliding window attention"}]," : Efficient processing of long sequences"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Memory-efficient attention"}]," : FlashAttention-2 throughout"]}],"\n"]}]
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7:["$","p",null,{"children":"Long context isn’t just about the number; it’s about actually using it. Our needle-in-haystack evaluation shows >95% retrieval accuracy at 100K tokens."}]
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8:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"mixture-of-experts","children":[["$","a",null,{"data-card":"","href":"#mixture-of-experts","className":"peer","children":"Mixture of Experts"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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9:["$","p",null,{"children":"Zen-3-MoE uses a sparse architecture:"}]
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a:["$","ul",null,{"children":["\n",["$","li",null,{"children":"64 experts per layer"}],"\n",["$","li",null,{"children":"Top-2 routing with load balancing"}],"\n",["$","li",null,{"children":"24B active parameters (141B total)"}],"\n",["$","li",null,{"children":"Achieves 72B-dense quality at 32B-dense cost"}],"\n"]}]
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b:["$","p",null,{"children":"Expert parallelism enables efficient inference on consumer hardware."}]
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c:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"improved-tokenizer","children":[["$","a",null,{"data-card":"","href":"#improved-tokenizer","className":"peer","children":"Improved Tokenizer"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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d:["$","p",null,{"children":"The Zen 3 tokenizer improves on previous versions:"}]
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e:["$","ul",null,{"children":["\n",["$","li",null,{"children":"128K vocabulary (up from 32K)"}],"\n",["$","li",null,{"children":"Better multilingual coverage"}],"\n",["$","li",null,{"children":"Improved code tokenization"}],"\n",["$","li",null,{"children":"Reduced fertility for technical content"}],"\n"]}]
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f:["$","p",null,{"children":"Larger vocabulary means fewer tokens per document means longer effective context."}]
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10:["$","h2",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"capability-improvements","children":[["$","a",null,{"data-card":"","href":"#capability-improvements","className":"peer","children":"Capability Improvements"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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11:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"benchmarks","children":[["$","a",null,{"data-card":"","href":"#benchmarks","className":"peer","children":"Benchmarks"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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12:["$","div",null,{"className":"relative overflow-auto prose-no-margin my-6","children":["$","table",null,{"children":[["$","thead",null,{"children":["$","tr",null,{"children":[["$","th",null,{"children":"Benchmark"}],["$","th",null,{"children":"Zen-2-70B"}],["$","th",null,{"children":"Zen-3-72B"}],["$","th",null,{"children":"Improvement"}]]}]}],["$","tbody",null,{"children":[["$","tr",null,{"children":[["$","td",null,{"children":"MMLU"}],["$","td",null,{"children":"74.2"}],["$","td",null,{"children":"82.1"}],["$","td",null,{"children":"+7.9"}]]}],["$","tr",null,{"children":[["$","td",null,{"children":"GSM8K"}],["$","td",null,{"children":"68.4"}],["$","td",null,{"children":"84.7"}],["$","td",null,{"children":"+16.3"}]]}],["$","tr",null,{"children":[["$","td",null,{"children":"HumanEval"}],["$","td",null,{"children":"58.5"}],["$","td",null,{"children":"71.3"}],["$","td",null,{"children":"+12.8"}]]}],["$","tr",null,{"children":[["$","td",null,{"children":"HellaSwag"}],["$","td",null,{"children":"85.1"}],["$","td",null,{"children":"89.4"}],["$","td",null,{"children":"+4.3"}]]}],["$","tr",null,{"children":[["$","td",null,{"children":"MATH"}],["$","td",null,{"children":"32.6"}],["$","td",null,{"children":"51.2"}],["$","td",null,{"children":"+18.6"}]]}]]}]]}]}]
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13:["$","p",null,{"children":"The improvements are substantial across all categories. Math and coding see the largest gains."}]
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14:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"real-world-tasks","children":[["$","a",null,{"data-card":"","href":"#real-world-tasks","className":"peer","children":"Real-World Tasks"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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15:["$","p",null,{"children":"Benchmarks don’t tell the whole story. Zen 3 excels at:"}]
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16:["$","p",null,{"children":[["$","strong",null,{"children":"Long-form writing"}]," : Coherent documents spanning thousands of words with consistent style and structure."]}]
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17:["$","p",null,{"children":[["$","strong",null,{"children":"Multi-step reasoning"}]," : Complex problems requiring planning and backtracking."]}]
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18:["$","p",null,{"children":[["$","strong",null,{"children":"Code generation"}]," : Full functions and classes, not just snippets."]}]
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19:["$","p",null,{"children":[["$","strong",null,{"children":"Instruction following"}]," : Precise adherence to formatting and constraint requirements."]}]
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1a:["$","p",null,{"children":[["$","strong",null,{"children":"Multilingual"}]," : Strong performance in 30+ languages including low-resource ones."]}]
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1b:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"agentic-capabilities","children":[["$","a",null,{"data-card":"","href":"#agentic-capabilities","className":"peer","children":"Agentic Capabilities"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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1c:["$","p",null,{"children":"Zen 3 is designed for agent use cases:"}]
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1d:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"Tool use"}]," : Reliable function calling with schema adherence"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Planning"}]," : Multi-step task decomposition"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Memory integration"}]," : Designed for RAG and experience ledgers"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Self-correction"}]," : Recognizes and recovers from errors"]}],"\n"]}]
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1e:["$","p",null,{"children":"Early agent benchmarks show 2x improvement over Zen 2 on multi-step tasks."}]
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1f:["$","h2",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"training-details","children":[["$","a",null,{"data-card":"","href":"#training-details","className":"peer","children":"Training Details"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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20:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"data","children":[["$","a",null,{"data-card":"","href":"#data","className":"peer","children":"Data"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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21:["$","p",null,{"children":"Training data evolved significantly:"}]
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22:["$","ul",null,{"children":["\n",["$","li",null,{"children":[["$","strong",null,{"children":"Quality filtering"}]," : Improved classifiers for content quality"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Deduplication"}]," : Near-duplicate removal at document and paragraph level"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Synthetic data"}]," : 20% of training tokens from LLM-generated content"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Code emphasis"}]," : 15% code (up from 8% in Zen 2)"]}],"\n",["$","li",null,{"children":[["$","strong",null,{"children":"Instruction mixing"}]," : 5% instruction data during pretraining"]}],"\n"]}]
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23:["$","p",null,{"children":"Total: 15T tokens for the 8B model, proportionally less for larger models."}]
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24:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"training-process","children":[["$","a",null,{"data-card":"","href":"#training-process","className":"peer","children":"Training Process"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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25:["$","p",null,{"children":"Training used the Zoo Compute Network:"}]
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27:["$","p",null,{"children":"The training run was the largest yet on the decentralized network. It validated that frontier training is possible without centralized infrastructure."}]
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29:["$","p",null,{"children":"Post-training alignment followed our standard process:"}]
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2b:["$","p",null,{"children":"Alignment reduced benchmark scores slightly (2-3%) while significantly improving real-world usefulness."}]
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2d:["$","p",null,{"children":"All Zen 3 models passed our safety evaluation suite:"}]
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30:["$","p",null,{"children":"Improved refusal with fewer false positives on legitimate requests."}]
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31:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"bias-metrics","children":[["$","a",null,{"data-card":"","href":"#bias-metrics","className":"peer","children":"Bias Metrics"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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32:["$","p",null,{"children":"We evaluated on standard bias benchmarks:"}]
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33:["$","ul",null,{"children":["\n",["$","li",null,{"children":"BBQ: 89.2% accuracy (vs. 84.1% for Zen 2)"}],"\n",["$","li",null,{"children":"WinoBias: 76.4% anti-stereotype (vs. 71.2%)"}],"\n",["$","li",null,{"children":"Toxicity: 0.023 average score (vs. 0.041)"}],"\n"]}]
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34:["$","p",null,{"children":"Improvements through both data curation and RLHF."}]
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35:["$","h3",null,{"className":"flex scroll-m-28 flex-row items-center gap-2","id":"limitations","children":[["$","a",null,{"data-card":"","href":"#limitations","className":"peer","children":"Limitations"}],["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-link size-3.5 shrink-0 text-fd-muted-foreground opacity-0 transition-opacity peer-hover:opacity-100","aria-hidden":true,"children":[["$","path","1cjeqo",{"d":"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71"}],["$","path","19qd67",{"d":"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71"}],"$undefined"]}]]}]
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36:["$","p",null,{"children":"Zen 3 is not perfect:"}]
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37:["$","ul",null,{"children":["\n",["$","li",null,{"children":"Can still be jailbroken with sufficient effort"}],"\n",["$","li",null,{"children":"May hallucinate facts, especially for recent events"}],"\n",["$","li",null,{"children":"Long-context retrieval degrades past 100K tokens"}],"\n",["$","li",null,{"children":"Some languages underperform (especially non-Latin scripts)"}],"\n",["$","li",null,{"children":"Resource-intensive for edge deployment"}],"\n"]}]
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38:["$","p",null,{"children":"We publish these limitations because transparency enables responsible use."}]
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41:["$","p",null,{"children":"The 8B model runs on consumer GPUs. The 72B quantized fits in 48GB."}]
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43:["$","p",null,{"children":"Zen 3 is a foundation. Coming soon:"}]
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45:["$","p",null,{"children":"The foundation is strong. Now we build."}]
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47:["$","p",null,{"children":"Zen 3 was trained on the Zoo Compute Network with contributions from 847 node operators across 34 countries. Thank you."}]
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48:["$","p",null,{"children":"This release was funded through the Zoo Labs Foundation treasury, allocated by community vote (ZIP-72). Thank you to all token holders who participated in governance."}]
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49:["$","p",null,{"children":"Special thanks to the training, alignment, and evaluation teams who made this possible."}]
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