[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2caj4cxbk4xe7":3,"$f15ajmwfr9ivr5":57,"$f1wmy9apo3i4h1":59,"$f3bozaxmcv8deq":281,"$f8ypa021er9qz":293,"$f3cpfkp6s3y5hn":295},{"id":4,"name":5,"publisher":6,"paramsB":7,"useCase":8,"licenseStatus":9,"licenseUrl":10,"sourceUrl":11,"descriptionZh":12,"descriptionEn":13,"imageUrl":14,"downloadUrls":15,"stats":21,"variants":26,"derivations":27,"measuredHardware":30,"updatedAt":56},92,"Flint-40B-A2.5B","Recursive",39.8,"CODE","OPEN_SOURCE","https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0","https:\u002F\u002Fhuggingface.co\u002FRecursiveSI\u002Fflint","Recursive 于 2026-10-21 发布的编码 agent 专用 MoE（Apache-2.0）：39.8B 总参 \u002F 每 token 约 2.5B 激活（含输出头，纯 body 约 2.2B；官方尺寸记号 40B-A2.5B）。架构：49 层（2 层稠密 + 47 层 MoE），256 路由专家选 6 + 常驻共享专家；注意力为 35 层滑动窗口（513 token）+ 14 层全注意力，全注意力层无位置编码、滑窗层用 RoPE，每头 QK RMSNorm + attention sink。上下文 262,144 token，词表 150,144，训练截止 2026-06。发布评测：Terminal-Bench 2.1 54.9%、SWE-bench Pro v2 89.7%、SWE-bench Verified 74.2%（Recursive 自测口径，温度 1.0 \u002F pass@1 ≥5 次均值）。BF16 权重约 80GB；社区 GGUF（unsloth）UD-Q4_K_XL 25.1GB、Q8_0 42.3GB、UD-IQ1_M 11.4GB。据 TechCrunch \u002F WIRED 报道，该模型的主体由 AI 在不到 4 个月内构建完成。","Recursive's coding-agent MoE released 2026-10-21 (Apache-2.0): 39.8B total parameters, about 2.5B active per token (including the output head; the body alone is ~2.2B — the official size designation is 40B-A2.5B). Architecture: 49 layers (2 dense + 47 MoE), 256 routed experts with 6 selected per token plus an always-active shared expert; attention is 35 sliding-window layers (513-token window) plus 14 full-attention layers, RoPE on sliding-window layers and no positional encoding on full-attention ones, with per-head QK RMSNorm and attention sinks. 262,144-token context, 150,144 vocabulary, knowledge cutoff June 2026. Release evaluations: Terminal-Bench 2.1 54.9%, SWE-bench Pro v2 89.7%, SWE-bench Verified 74.2% (Recursive-measured, temperature 1.0, average pass@1 over at least five attempts). BF16 weights are about 80GB; community GGUFs (unsloth) run UD-Q4_K_XL at 25.1GB, Q8_0 at 42.3GB and UD-IQ1_M at 11.4GB. TechCrunch and WIRED report the model was largely built by AI in under four months.",null,[16,18],{"url":11,"label":17},"HuggingFace",{"url":19,"label":20},"https:\u002F\u002Fhuggingface.co\u002Funsloth\u002Fflint-GGUF","GGUF",{"recordCount":22,"variantCount":23,"hardwareCount":24,"unlinkedRecordCount":22,"evidence":25},22,0,8,{"L0":23,"L1":23,"L2":22},[],{"parents":28,"children":29},[],[],[31,35,38,41,44,47,49,52],{"name":32,"vramGb":33,"recordCount":34},"NVIDIA RTX Spark",128,6,{"name":36,"vramGb":33,"recordCount":37},"Apple M5 Max",3,{"name":39,"vramGb":40,"recordCount":37},"Apple M5 Ultra",512,{"name":42,"vramGb":43,"recordCount":37},"NVIDIA H20",97,{"name":45,"vramGb":33,"recordCount":46},"AMD Ryzen AI Max+ 395",2,{"name":48,"vramGb":14,"recordCount":46},"Apple M2 Ultra",{"name":50,"vramGb":51,"recordCount":46},"NVIDIA RTX PRO 6000 Blackwell 96GB",96,{"name":53,"vramGb":54,"recordCount":55},"NVIDIA H100 80GB HBM3",80,1,"2026-10-22T15:13:14.222Z",{"favorited":58},false,{"items":60,"total":22,"page":55,"pageSize":280},[61,79,91,103,113,123,133,143,150,160,173,184,195,206,217,226,234,244,251,258,266,273],{"modelId":4,"modelName":5,"hardwareId":62,"hardwareName":45,"frameworkId":55,"frameworkName":63,"quantization":64,"hardwareVramGb":33,"decodeTps":65,"prefillTps":66,"vramGb":67,"genSeconds":14,"modelUseCase":8,"ttftS":68,"ttfbGb":69,"mtpAcceptanceRate":14,"powerW":70,"sampleCount":55,"reproduceCount":55,"sourceTypes":71,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":75,"latestOs":76,"latestCudaVersion":77,"latestFlashAttention":78,"latestOutputSpec":14},24,"llama.cpp","IQ3_XS",77.09,382.38,53.92,0.599,0.62,46.7,[72],"OTHER","L2","2026-10-22T15:17:41.900Z","v0.30","Ubuntu 22.04","12.4",true,{"modelId":4,"modelName":5,"hardwareId":62,"hardwareName":45,"frameworkId":46,"frameworkName":80,"quantization":81,"hardwareVramGb":33,"decodeTps":82,"prefillTps":83,"vramGb":84,"genSeconds":14,"modelUseCase":8,"ttftS":85,"ttfbGb":86,"mtpAcceptanceRate":14,"powerW":87,"sampleCount":55,"reproduceCount":55,"sourceTypes":88,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":89,"latestOs":76,"latestCudaVersion":90,"latestFlashAttention":58,"latestOutputSpec":14},"vLLM","Q4_K_S",63.8,213.74,67.29,2.308,0.51,55,[72],"v0.47","12.8",{"modelId":4,"modelName":5,"hardwareId":92,"hardwareName":36,"frameworkId":55,"frameworkName":63,"quantization":93,"hardwareVramGb":33,"decodeTps":94,"prefillTps":95,"vramGb":96,"genSeconds":14,"modelUseCase":8,"ttftS":97,"ttfbGb":98,"mtpAcceptanceRate":14,"powerW":99,"sampleCount":55,"reproduceCount":55,"sourceTypes":100,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":101,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":78,"latestOutputSpec":14},28,"Q3_K_M",152.51,687.68,58.94,2.154,1.22,41.8,[72],"v0.21","macOS 26.1",{"modelId":4,"modelName":5,"hardwareId":92,"hardwareName":36,"frameworkId":37,"frameworkName":104,"quantization":105,"hardwareVramGb":33,"decodeTps":106,"prefillTps":107,"vramGb":108,"genSeconds":14,"modelUseCase":8,"ttftS":109,"ttfbGb":110,"mtpAcceptanceRate":14,"powerW":111,"sampleCount":55,"reproduceCount":55,"sourceTypes":112,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":75,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":78,"latestOutputSpec":14},"Ollama","IQ4_XS",123.41,650.98,63.95,1.959,0.99,51.6,[72],{"modelId":4,"modelName":5,"hardwareId":92,"hardwareName":36,"frameworkId":37,"frameworkName":104,"quantization":114,"hardwareVramGb":33,"decodeTps":115,"prefillTps":116,"vramGb":117,"genSeconds":14,"modelUseCase":8,"ttftS":118,"ttfbGb":119,"mtpAcceptanceRate":14,"powerW":120,"sampleCount":55,"reproduceCount":55,"sourceTypes":121,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":122,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":78,"latestOutputSpec":14},"Q2_K",153.39,803.06,48.07,2.157,1.23,54,[72],"v0.50",{"modelId":4,"modelName":5,"hardwareId":124,"hardwareName":39,"frameworkId":55,"frameworkName":63,"quantization":125,"hardwareVramGb":40,"decodeTps":126,"prefillTps":127,"vramGb":128,"genSeconds":14,"modelUseCase":8,"ttftS":129,"ttfbGb":130,"mtpAcceptanceRate":14,"powerW":131,"sampleCount":55,"reproduceCount":55,"sourceTypes":132,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":75,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":58,"latestOutputSpec":14},29,"IQ1_S",324.79,1453.99,37.2,1.303,2.6,113.3,[72],{"modelId":4,"modelName":5,"hardwareId":124,"hardwareName":39,"frameworkId":55,"frameworkName":63,"quantization":134,"hardwareVramGb":40,"decodeTps":135,"prefillTps":136,"vramGb":137,"genSeconds":14,"modelUseCase":8,"ttftS":138,"ttfbGb":139,"mtpAcceptanceRate":14,"powerW":140,"sampleCount":55,"reproduceCount":55,"sourceTypes":141,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":142,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":78,"latestOutputSpec":14},"Q5_K_S",181.42,831.96,77.32,2.15,1.45,105.8,[72],"v0.53",{"modelId":4,"modelName":5,"hardwareId":124,"hardwareName":39,"frameworkId":37,"frameworkName":104,"quantization":114,"hardwareVramGb":40,"decodeTps":144,"prefillTps":145,"vramGb":117,"genSeconds":14,"modelUseCase":8,"ttftS":146,"ttfbGb":147,"mtpAcceptanceRate":14,"powerW":148,"sampleCount":55,"reproduceCount":55,"sourceTypes":149,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":142,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":78,"latestOutputSpec":14},230.73,1077.9,0.396,1.85,127.5,[72],{"modelId":4,"modelName":5,"hardwareId":87,"hardwareName":53,"frameworkId":46,"frameworkName":80,"quantization":151,"hardwareVramGb":54,"decodeTps":152,"prefillTps":153,"vramGb":154,"genSeconds":14,"modelUseCase":8,"ttftS":155,"ttfbGb":156,"mtpAcceptanceRate":14,"powerW":157,"sampleCount":55,"reproduceCount":55,"sourceTypes":158,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":101,"latestOs":76,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},"IQ2_M",325.98,1095.54,45.56,2.237,2.61,690.6,[72],"13.0",{"modelId":4,"modelName":5,"hardwareId":161,"hardwareName":42,"frameworkId":46,"frameworkName":80,"quantization":162,"hardwareVramGb":43,"decodeTps":163,"prefillTps":164,"vramGb":165,"genSeconds":14,"modelUseCase":8,"ttftS":166,"ttfbGb":167,"mtpAcceptanceRate":14,"powerW":168,"sampleCount":55,"reproduceCount":55,"sourceTypes":169,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":170,"latestOs":171,"latestCudaVersion":172,"latestFlashAttention":78,"latestOutputSpec":14},56,"Q4_K_M",94.37,330.77,70.63,1.127,0.75,318,[72],"v0.27","Windows 11 24H2","12.6",{"modelId":4,"modelName":5,"hardwareId":161,"hardwareName":42,"frameworkId":46,"frameworkName":80,"quantization":174,"hardwareVramGb":43,"decodeTps":175,"prefillTps":176,"vramGb":177,"genSeconds":14,"modelUseCase":8,"ttftS":178,"ttfbGb":179,"mtpAcceptanceRate":14,"powerW":180,"sampleCount":55,"reproduceCount":55,"sourceTypes":181,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":182,"latestOs":183,"latestCudaVersion":172,"latestFlashAttention":58,"latestOutputSpec":14},"Q6_K",79.46,372.23,85.68,1.402,0.64,324.1,[72],"v0.32","Ubuntu 24.04",{"modelId":4,"modelName":5,"hardwareId":161,"hardwareName":42,"frameworkId":37,"frameworkName":104,"quantization":185,"hardwareVramGb":43,"decodeTps":186,"prefillTps":187,"vramGb":188,"genSeconds":14,"modelUseCase":8,"ttftS":189,"ttfbGb":190,"mtpAcceptanceRate":14,"powerW":191,"sampleCount":55,"reproduceCount":55,"sourceTypes":192,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":193,"latestOs":194,"latestCudaVersion":172,"latestFlashAttention":78,"latestOutputSpec":14},"Q3_K_S",104.76,539.82,56.43,0.937,0.84,382.4,[72],"v0.37","Windows 11 23H2",{"modelId":4,"modelName":5,"hardwareId":196,"hardwareName":50,"frameworkId":46,"frameworkName":80,"quantization":197,"hardwareVramGb":51,"decodeTps":198,"prefillTps":199,"vramGb":200,"genSeconds":14,"modelUseCase":8,"ttftS":201,"ttfbGb":202,"mtpAcceptanceRate":14,"powerW":203,"sampleCount":55,"reproduceCount":55,"sourceTypes":204,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":205,"latestOs":171,"latestCudaVersion":90,"latestFlashAttention":78,"latestOutputSpec":14},68,"Q3_K_L",327.3,1746.79,62.28,0.987,2.62,389.5,[72],"v0.55",{"modelId":4,"modelName":5,"hardwareId":196,"hardwareName":50,"frameworkId":207,"frameworkName":208,"quantization":185,"hardwareVramGb":51,"decodeTps":209,"prefillTps":210,"vramGb":188,"genSeconds":14,"modelUseCase":8,"ttftS":211,"ttfbGb":212,"mtpAcceptanceRate":213,"powerW":214,"sampleCount":55,"reproduceCount":55,"sourceTypes":215,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":216,"latestOs":171,"latestCudaVersion":77,"latestFlashAttention":58,"latestOutputSpec":14},9,"Strata",343.48,1507.36,0.529,2.75,0.6079,342.8,[72],"v0.41",{"modelId":4,"modelName":5,"hardwareId":218,"hardwareName":48,"frameworkId":55,"frameworkName":63,"quantization":134,"hardwareVramGb":14,"decodeTps":219,"prefillTps":220,"vramGb":221,"genSeconds":14,"modelUseCase":8,"ttftS":222,"ttfbGb":223,"mtpAcceptanceRate":14,"powerW":224,"sampleCount":55,"reproduceCount":55,"sourceTypes":225,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":193,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":58,"latestOutputSpec":14},103,159.13,607.98,76,1.558,1.27,107.7,[72],{"modelId":4,"modelName":5,"hardwareId":218,"hardwareName":48,"frameworkId":37,"frameworkName":104,"quantization":105,"hardwareVramGb":14,"decodeTps":227,"prefillTps":228,"vramGb":108,"genSeconds":14,"modelUseCase":8,"ttftS":229,"ttfbGb":230,"mtpAcceptanceRate":14,"powerW":231,"sampleCount":55,"reproduceCount":55,"sourceTypes":232,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":233,"latestOs":102,"latestCudaVersion":14,"latestFlashAttention":58,"latestOutputSpec":14},184.42,830.52,1.07,1.48,140.3,[72],"v0.31",{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":55,"frameworkName":63,"quantization":236,"hardwareVramGb":33,"decodeTps":237,"prefillTps":238,"vramGb":239,"genSeconds":14,"modelUseCase":8,"ttftS":240,"ttfbGb":241,"mtpAcceptanceRate":14,"powerW":54,"sampleCount":55,"reproduceCount":55,"sourceTypes":242,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":243,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},110,"IQ3_S",91.56,457.14,57.27,0.248,0.73,[72],"v0.26",{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":55,"frameworkName":63,"quantization":185,"hardwareVramGb":33,"decodeTps":245,"prefillTps":246,"vramGb":188,"genSeconds":14,"modelUseCase":8,"ttftS":247,"ttfbGb":248,"mtpAcceptanceRate":14,"powerW":249,"sampleCount":55,"reproduceCount":55,"sourceTypes":250,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":75,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},100.54,475.16,0.189,0.8,71.3,[72],{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":55,"frameworkName":63,"quantization":162,"hardwareVramGb":33,"decodeTps":252,"prefillTps":253,"vramGb":165,"genSeconds":14,"modelUseCase":8,"ttftS":254,"ttfbGb":255,"mtpAcceptanceRate":14,"powerW":256,"sampleCount":55,"reproduceCount":55,"sourceTypes":257,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":182,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},76.22,300.34,2.209,0.61,51.8,[72],{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":37,"frameworkName":104,"quantization":105,"hardwareVramGb":33,"decodeTps":259,"prefillTps":260,"vramGb":108,"genSeconds":14,"modelUseCase":8,"ttftS":261,"ttfbGb":262,"mtpAcceptanceRate":14,"powerW":263,"sampleCount":55,"reproduceCount":55,"sourceTypes":264,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":265,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":58,"latestOutputSpec":14},74.46,328.19,0.246,0.6,78.1,[72],"v0.24",{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":37,"frameworkName":104,"quantization":114,"hardwareVramGb":33,"decodeTps":267,"prefillTps":268,"vramGb":117,"genSeconds":14,"modelUseCase":8,"ttftS":269,"ttfbGb":270,"mtpAcceptanceRate":14,"powerW":271,"sampleCount":55,"reproduceCount":55,"sourceTypes":272,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":265,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},96.77,510.91,1.987,0.77,50.6,[72],{"modelId":4,"modelName":5,"hardwareId":235,"hardwareName":32,"frameworkId":37,"frameworkName":104,"quantization":162,"hardwareVramGb":33,"decodeTps":274,"prefillTps":275,"vramGb":165,"genSeconds":14,"modelUseCase":8,"ttftS":276,"ttfbGb":277,"mtpAcceptanceRate":14,"powerW":278,"sampleCount":55,"reproduceCount":55,"sourceTypes":279,"evidenceLevel":73,"updatedAt":74,"latestFrameworkVersion":101,"latestOs":183,"latestCudaVersion":159,"latestFlashAttention":78,"latestOutputSpec":14},70.03,271.9,1.711,0.56,63.3,[72],50,{"items":282,"total":55,"page":55,"pageSize":292},[283],{"id":284,"type":285,"title":286,"excerpt":287,"author":288,"replyCount":37,"createdAt":290,"lastRepliedAt":14,"resolvedAt":14,"editedAt":14,"model":291,"hardware":14,"variant":14,"record":14},40,"HELP","Flint 40B-A2.5B 拿来做本地编码 agent，513 滑窗是优势还是坑？","昨天 Recursive 放出 Flint（39.8B-A2.5B，Apache-2.0），站内今天也上了 22 条实测。我盯上了它的两个数字：SWE-bench Pro v2 89.7%、SWE-bench Verified 74.2%—",{"nickname":289,"avatarUrl":14},"江南卡皇","2026-10-22T15:34:40.178Z",{"name":5},20,{"items":294},[],{"items":296,"total":55,"page":55,"pageSize":37},[297],{"slug":298,"category":299,"publishedAt":300,"titleZh":301,"titleEn":302,"summaryZh":303,"summaryEn":304,"models":305,"hardwares":315},"recursive-flint-40b-2026-10-22","NEWS","2026-10-22T10:00:00.000Z","Recursive 发布 Flint：39.8B-A2.5B 编码 MoE，SWE-bench Pro v2 拿下 89.7%","Recursive ships Flint: a 39.8B-A2.5B coding MoE hitting 89.7% on SWE-bench Pro v2","10 月 21 日 Recursive 开源 Flint（Apache-2.0）——39.8B 总参、每 token 约 2.5B 激活的编码 agent 专用 MoE。发布评测：Terminal-Bench 2.1 54.9%、SWE-bench Pro v2 89.7%、SWE-bench Verified 74.2%。49 层里 35 层滑动窗口（513 token），社区 GGUF Q4_K_XL 25.1GB。TechCrunch\u002FWIRED 报道称主体由 AI 在不到 4 个月内构建。站内已收录并新增 22 条实测。","Recursive open-sourced Flint on Oct 21 (Apache-2.0), a coding-agent MoE with 39.8B total parameters and about 2.5B active per token. Release evaluations: Terminal-Bench 2.1 54.9%, SWE-bench Pro v2 89.7%, SWE-bench Verified 74.2%. Of its 49 layers, 35 use a 513-token sliding window; community GGUFs run Q4_K_XL at 25.1GB. TechCrunch and WIRED report it was largely built by AI in under four months. Logged on-site with 22 new runs.",[306,308,311,312],{"id":34,"name":307},"Qwen3.6-27B",{"id":309,"name":310},47,"Qwen3.6-35B-A3B",{"id":4,"name":5},{"id":313,"name":314},94,"mammoth-1",[316],{"id":317,"name":318},13,"NVIDIA RTX 5090"]