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      "url": "https://github.com/jshahbazi/llmbench/pull/15",
      "quote": "hyphenation, so searching “Qwen 3.8 Flash Next” misses “Qwen3.8-Flash-Next”. Normalize whitespace and hyphens in queries and model names, IDs, and providers, with regression coverage for",
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      "quote": "only models that need a 128 GB machine (Qwen3.8-Flash-Next,",
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      "quote": "CUDA, so there this applies by default to Qwen3.8-Flash-Next without speculative decoding. On ROCm it is opt-in.",
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      "quote": "`providers/augure/models/open-glm-5-3.toml` (`base_model = \"zhipuai/glm-5.3\"`) and `open-qwen-3.8-flash-next.toml` (`base_model = \"alibaba/qwen3.8-flash-next\"`): the Augure Open preview models, override-only, both lab files already exist.",
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      "quote": "- Removed `z-ai/glm-5.2`, `z-ai/glm-5.2-instant` and `qwen/qwen3.8-flash-next`. Lyceum has retired them; they are under \"Retired models\" on the models page.",
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      "quote": "- `providers/aipg/models/qwen38-flash-next-nvfp4.toml` → `alibaba/qwen3.8-flash-next`",
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      "quote": "The distilled Q8_0 MTP draft head that the Qwen3.8-Flash-Next engine uses by default is now on",
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      "url": "https://github.com/flagos-ai/vllm-plugin-FL/pull/752",
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      "source_label": "GitHub search · Alibaba · pulls · paperclipai/paperclip · @ptichalouf",
      "url": "https://github.com/paperclipai/paperclip/pull/18468",
      "quote": "- Catalog translations: `qwen3.8-flash-next`, a local Qwen model served by vLLM (temperature 0, thinking disabled, JSON output), with automatic placeholder, HTML, URL and length checks.",
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      "reference": "record:github-search:alibaba:pulls:sgl-project/sglang:pull:50024:qwen3.8-flash-next",
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      "source_label": "GitHub search · Alibaba · pulls · sgl-project/sglang · @chuyeh",
      "url": "https://github.com/sgl-project/sglang/pull/50024",
      "quote": "0.95 / top-k 20, concurrency 16. Image `rocm/sgl-dev:v0.5.23-rocm10-mi35x-20261102`, Qwen3.8-Flash-Next MXFP4 (AttnFP8), MI355X TP1, NEXTN 3",
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      "source_label": "GitHub search · Alibaba · pulls · Niko1221/Strata · @dellathefella",
      "url": "https://github.com/Niko1221/Strata/pull/5916",
      "quote": "Release, built in the SYCL dev container. Model: Qwen3.8-Flash-Next, Unsloth UD-IQ4_XS native pack.",
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    {
      "reference": "record:github-search:alibaba:pulls:Yamz-Labs/kyojin:pull:206:qwen3.8-flash-next",
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        "value": "2026-11-14T12:28:30Z"
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      "source_label": "GitHub search · Alibaba · pulls · Yamz-Labs/kyojin · @YanissAmz",
      "url": "https://github.com/Yamz-Labs/kyojin/pull/206",
      "quote": "Qwen3.8-Flash-Next EXL3 (same model, Yamz EXL3 pack), 4096 vs 8192, two orders: 8K prefill 6.79 / 6.67 s at 4096 vs 7.99 s at 8192",
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    },
    {
      "reference": "record:github-search:alibaba:pulls:vllm-project/vllm:pull:59442:qwen3.8-flash-next",
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      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · vllm-project/vllm · @mjkvaak-amd",
      "url": "https://github.com/vllm-project/vllm/pull/59442",
      "quote": "two-stage kernels instead of five Triton/GEMM launches. On Qwen3.8-Flash-Next at concurrency 1 and 4, that cuts TPOT by",
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      "source_label": "GitHub search · Alibaba · pulls · Andyyyy64/whichllm · @devangpratap",
      "url": "https://github.com/Andyyyy64/whichllm/pull/309",
      "quote": "v5 rows that didn't map now do, including Qwen3.8-Flash-Next, which whichllm already ranks. Each repo is the `modelWeightsSourceUrl` on the row's AA model page, and",
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      "source_label": "GitHub search · Alibaba · pulls · jayleaton/localrouter · @jayleaton",
      "url": "https://github.com/jayleaton/localrouter/pull/150",
      "quote": "the chat model of the two-Spark placement on **Qwen3.8-Flash-Next TP1** (jayleaton/qwen4-tensorfold-spark `f0002f9`, the tool-full profile, so the compute lane and runner are on). It runs",
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      "source_label": "GitHub search · Alibaba · pulls · erikwb/lily-qwen3.8-flash-next · @erikwb",
      "url": "https://github.com/erikwb/lily-qwen3.8-flash-next/pull/6",
      "quote": "- Qwen3.8-Flash-Next's model, kernels and checkpoint loading are unchanged.",
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    {
      "reference": "record:github-search:alibaba:pulls:jwmoss/owl:pull:51:qwen3.8-flash-next",
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      },
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      "source_label": "GitHub search · Alibaba · pulls · jwmoss/owl · @jwmoss",
      "url": "https://github.com/jwmoss/owl/pull/51",
      "quote": "has one engine for each job: halogen serves Qwen3.8-Flash-Next (the default), Maya serves GLM-5.3-Flash and DeepSeek-V4.1-Flash, and Strata serves Qwen.",
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    },
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      "source_label": "GitHub search · Alibaba · pulls · tobitege/strix-halo-engine-lab · @tobitege",
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      "quote": "- Model runs with Qwen3.8-Flash-Next UD-Q4_K_XL under a RAM watchdog with the engine's defaults, each with exit code 0 and reproducible tokens: prompts of 23,",
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      "url": "https://github.com/AMD-AIM/radeon-cloud-docs/pull/51",
      "quote": "Remove the retired Qwen3.8-Flash-Next model (en + zh-cn)",
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      "source_label": "GitHub search · Alibaba · pulls · Hour49/Junction26 · @Bogzx",
      "url": "https://github.com/Hour49/Junction26/pull/103",
      "quote": "Did not help on val: a bigger model (Qwen3.8-Flash-Next 180B, tied on rooms and counts), thinking on (+0.2 pp n.s. for ~15x the compute), a",
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    {
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      "kind": "editorial_mention",
      "at": "2026-11-15T13:56:17.787Z",
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      },
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      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · vllm-project/vllm · @jschmied",
      "url": "https://github.com/vllm-project/vllm/pull/58863",
      "quote": "that hybrid models align to the Mamba page (Qwen3.8-Flash-Next on",
      "co_mentions": []
    },
    {
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      "source_label": "GitHub search · Alibaba · pulls · Niko1221/Strata · @midhatn",
      "url": "https://github.com/Niko1221/Strata/pull/5189",
      "quote": "visible answer. On a dual-V100 Ubuntu host using Qwen3.8-Flash-Next Unsloth UD-Q4_K_XL, two 64-token and two 180-token requests all ended this way.",
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      "url": "https://github.com/flagos-ai/vllm-plugin-FL/pull/635",
      "quote": "feat(metax): support and optimize Qwen3.8-Flash-Next ### PR Category",
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      "url": "https://github.com/vllm-project/vllm/pull/66911",
      "quote": "vllm bench serve --backend vllm --model Qwen/Qwen3.8-Flash-Next --dataset-name random \\",
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      "url": "https://github.com/vllm-project/vllm/pull/67270",
      "quote": "vllm bench serve --backend vllm --model Qwen/Qwen3.8-Flash-Next --dataset-name random \\",
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      "url": "https://github.com/microsoft/onnxruntime-genai/pull/2907",
      "quote": "context-tier budget adaptation and hardware-aware `runtime_profiles` improvements for Qwen3.8-Flash-Next RC5 (`QMoE`) and GGUF (`MoEPacked`) hybrid offload across 16 GB, 24 GB, 32 GB, and H200",
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    },
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      "url": "https://github.com/vllm-project/vllm/pull/64161",
      "quote": null,
      "co_mentions": []
    },
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        "value": "2026-11-13T23:57:05Z"
      },
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      "url": "https://github.com/jleighfields/vllm-dgx-spark/commit/60daf2f33632daa0666b9d0658f9b1e3d452d0eb",
      "quote": "Add b12x launch style and Qwen3.8-Flash-Next FP4-Local config",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:ROCm/aiter:pull:7893:qwen3.8-flash-next",
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      "at": "2026-11-15T14:58:36.330Z",
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        "value": "2026-11-12T16:36:58Z"
      },
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      "source_label": "GitHub search · Alibaba · pulls · ROCm/aiter · @frida-andersson",
      "url": "https://github.com/ROCm/aiter/pull/7893",
      "quote": "/ `cu_num=304` (MI325X) rows to `aiter/configs/model_configs/qwen38_flash_next_bf16_tuned_gemm.csv` for the Qwen3.8-Flash-Next BF16 TP4 text-model GEMMs, and their shapes to `qwen38_flash_next_bf16_untuned_gemm.csv`. No hipBLASLt rows.",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:anomalyco/models.dev:pull:11972:qwen3.8-flash-next",
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      "at": "2026-11-15T15:13:41.770Z",
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        "precision": "time",
        "value": "2026-10-29T13:59:52Z"
      },
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      "source_label": "GitHub search · Alibaba · pulls · anomalyco/models.dev · @sorenjuul",
      "url": "https://github.com/anomalyco/models.dev/pull/11972",
      "quote": "57, and the three field changes above. The `Qwen/Qwen3.8-Flash-Next` 1M context is inside that model's addition, not a field change.",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:Yamz-Labs/kyojin:pull:190:qwen3.8-flash-next",
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      "at": "2026-11-15T15:29:01.133Z",
      "event_at": {
        "precision": "time",
        "value": "2026-11-11T19:37:44Z"
      },
      "historical": true,
      "report_intent": "incidental",
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      "source_label": "GitHub search · Alibaba · pulls · Yamz-Labs/kyojin · @resynth",
      "url": "https://github.com/Yamz-Labs/kyojin/pull/190",
      "quote": "GLM-5.3-Flash is the measured adapter. Qwen3.8-Flash-Next and DeepSeek-V4.1-Flash have preparatory per-device JIT/arch work and staged adapters; Flint and Mimo use the generic model path. Split",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:aartiles/tenaz:pull:50:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T15:29:01.133Z",
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        "precision": "time",
        "value": "2026-11-13T08:58:00Z"
      },
      "historical": false,
      "report_intent": "incidental",
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      "source_label": "GitHub search · Alibaba · pulls · aartiles/tenaz · @aartiles",
      "url": "https://github.com/aartiles/tenaz/pull/50",
      "quote": "run that got stuck: Hardball 3D (fx 0.0.16, Qwen3.8-Flash-Next on Sushi 1.6.0) ended BLOCKED after four replans were rejected for the same card. The run",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:vllm-project/vllm-ascend:pull:21751:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T15:29:01.133Z",
      "event_at": {
        "precision": "time",
        "value": "2026-11-12T14:38:06Z"
      },
      "historical": true,
      "report_intent": "incidental",
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      "source_label": "GitHub search · Alibaba · pulls · vllm-project/vllm-ascend · @Karryking3",
      "url": "https://github.com/vllm-project/vllm-ascend/pull/21751",
      "quote": "Add a UVA implementation of Qwen3.8-Flash-Next PLE host offload on main. This carries the host lookup approach from #20560 onto the current model interfaces.",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:seanlin2000/home_assistant:pull:79:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T15:46:01.838Z",
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        "precision": "time",
        "value": "2026-11-13T07:26:27Z"
      },
      "historical": false,
      "report_intent": "incidental",
      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · seanlin2000/home_assistant · @seanlin2000",
      "url": "https://github.com/seanlin2000/home_assistant/pull/79",
      "quote": "uv run serving show # llama-server ... -m .../Qwen3.8-Flash-Next-GSQ-RCO-IQ3_XXS-00001-of-00002.gguf --alias qwen3.8-flash-next ... --reasoning-budget 3072",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:sgl-project/sglang:pull:37570:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T15:46:01.838Z",
      "event_at": {
        "precision": "time",
        "value": "2026-09-02T08:16:43Z"
      },
      "historical": true,
      "report_intent": "incidental",
      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · sgl-project/sglang · @fishAndShrimp",
      "url": "https://github.com/sgl-project/sglang/pull/37570",
      "quote": "[Feat] [NPU] Qwen3.8-Flash-Next: Support graph replay, MTP, and Triton kernels",
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    },
    {
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      "kind": "editorial_mention",
      "at": "2026-11-15T15:46:01.838Z",
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        "precision": "time",
        "value": "2026-11-13T05:57:15Z"
      },
      "historical": false,
      "report_intent": "incidental",
      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · unslothai/unsloth-zoo · @danielhanchen",
      "url": "https://github.com/unslothai/unsloth-zoo/pull/2486",
      "quote": "table store (#2480, #2485) already does this for Qwen3.8-Flash-Next's n-gram table: mmap the checkpoint with `MADV_RANDOM`, gather only the rows a batch needs, and decode",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:ReSerendipity/SpiritPal:pull:169:qwen3.8-flash-next",
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      "at": "2026-11-15T16:17:01.429Z",
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        "precision": "time",
        "value": "2026-10-24T14:13:10Z"
      },
      "historical": true,
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      "source_label": "GitHub search · Alibaba · pulls · ReSerendipity/SpiritPal · @ReSerendipity",
      "url": "https://github.com/ReSerendipity/SpiritPal/pull/169",
      "quote": "- Real provider (ModelScope `Qwen/Qwen3.8-Flash-Next`, via local CORS proxy in the browser): provider-reported usage 179 input / 82 output, first output 526 ms, total 2.0",
      "co_mentions": []
    },
    {
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      "at": "2026-11-15T16:17:01.429Z",
      "event_at": {
        "precision": "time",
        "value": "2026-11-01T22:36:14Z"
      },
      "historical": true,
      "report_intent": "incidental",
      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · freriadoc/Avalon · @cshingle",
      "url": "https://github.com/freriadoc/Avalon/pull/15",
      "quote": "no error. Conditions: the hosted-MoE model (88 GiB Qwen3.8-Flash-Next on a 16 GB 6900 XT, experts streamed from RAM on demand) plus the MTP draft",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:1bit-MONSTER/llama.cpp:pull:160:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T16:32:33.412Z",
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        "precision": "time",
        "value": "2026-10-31T01:16:29Z"
      },
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      "source_label": "GitHub search · Alibaba · pulls · 1bit-MONSTER/llama.cpp · @bong-water-water-bong",
      "url": "https://github.com/1bit-MONSTER/llama.cpp/pull/160",
      "quote": "the Qwen vocabulary bound to **2^29** (320,001,536 rows, Qwen3.8-Flash-Next). Our table has **768,022,850 rows - past 2^29** - so the matcher declines the gather and",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:exo-explore/exo:pull:2610:qwen3.8-flash-next",
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      "at": "2026-11-15T16:32:33.412Z",
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        "precision": "time",
        "value": "2026-11-12T20:51:20Z"
      },
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      "source_label": "GitHub search · Alibaba · pulls · exo-explore/exo · @landaun",
      "url": "https://github.com/exo-explore/exo/pull/2610",
      "quote": "On Qwen3.8-Flash-Next (`qwen4_exp`), a long prompt can end the runner",
      "co_mentions": []
    },
    {
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      "url": "https://github.com/Snowflake-AI-Research/Arctic-Platform/pull/438",
      "quote": "PR. The relevant correctness workload is `inference-checkpoint-loss` with `qwen3.8-flash-next/long/h200-training-full--legacy-sft-full-8gpus-sp8-256k.json` or `qwen3.8-flash-next/long/h200-training-full--rl-32gpus-sp16-256k.json`: full HF export must restore the original `.shard_<index>.weight` PLE names and vocabulary boundaries rather",
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    },
    {
      "reference": "record:github-search:alibaba:pulls:Snowflake-AI-Research/Arctic-Platform:pull:458:qwen3.8-flash-next",
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      },
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      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · Snowflake-AI-Research/Arctic-Platform · @sfc-gh-sbekman",
      "url": "https://github.com/Snowflake-AI-Research/Arctic-Platform/pull/458",
      "quote": "use. The relevant correctness workload is `inference-checkpoint-loss` with `qwen3.8-flash-next/long/h200-training-full--legacy-sft-full-8gpus-sp8-256k.json` or `qwen3.8-flash-next/long/h200-training-full--rl-32gpus-sp16-256k.json`: HF-to-Prime conversion previously materialized the entire checkpoint, and this PR converts complete expert/PLE dependency",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:alibaba:pulls:Snowflake-AI-Research/Arctic-Platform:pull:501:qwen3.8-flash-next",
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      },
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      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · Snowflake-AI-Research/Arctic-Platform · @sfc-gh-sbekman",
      "url": "https://github.com/Snowflake-AI-Research/Arctic-Platform/pull/501",
      "quote": "ake-AI-Research/Arctic-Platform/pull/438) identifies source-confirmed affected coverage for `inference-checkpoint-loss` with `arctic_platform/correctness/configs/qwen3.8-flash-next/long/h200-training-full--legacy-sft-full-8gpus-sp8-256k.json` and `arctic_platform/correctness/configs/qwen3.8-flash-next/long/h200-training-full--rl-32gpus-sp16-256k.json`: full HF export must restore original prediction-layer embedding (PLE) shard names and vocabulary boundaries.",
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    },
    {
      "reference": "record:github-search:alibaba:pulls:dustindoan/coralstack-infra:pull:114:qwen3.8-flash-next",
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      "at": "2026-11-15T16:48:21.227Z",
      "event_at": {
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        "value": "2026-10-27T19:44:05Z"
      },
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      "source_label": "GitHub search · Alibaba · pulls · dustindoan/coralstack-infra · @renovate[bot]",
      "url": "https://github.com/dustindoan/coralstack-infra/pull/114",
      "quote": null,
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    },
    {
      "reference": "record:github-search:alibaba:pulls:exo-explore/exo:pull:2608:qwen3.8-flash-next",
      "kind": "editorial_mention",
      "at": "2026-11-15T16:48:21.227Z",
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        "value": "2026-11-12T14:30:00Z"
      },
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      "source": "github-search:alibaba:pulls",
      "source_label": "GitHub search · Alibaba · pulls · exo-explore/exo · @landaun",
      "url": "https://github.com/exo-explore/exo/pull/2608",
      "quote": "Qwen3.8-Flash-Next (`qwen4_exp`) ships a multi-token-prediction (MTP) layer, `mtp.*`, that the mlx-community conversions drop. Used as a drafter it gives exact",
      "co_mentions": []
    },
    {
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      "at": "2026-11-15T17:03:52.764Z",
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      "url": "https://github.com/metorial/metorial-platform/pull/1195",
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    }
  ],
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      "kind": "model_release",
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        "kind": "model",
        "id": "Qwen/Qwen3.8-Flash-Next"
      },
      "at": {
        "precision": "day",
        "value": "2026-08-26"
      },
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            "kind": "model",
            "id": "Qwen/Qwen3.8-Flash-Next"
          },
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          "checked_at": "2026-11-04T17:34:45.144820Z"
        }
      ]
    },
    {
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        "value": "2026-08-03"
      },
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      "selected": true,
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          "scope": {
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          },
          "detected_at": "2026-11-13T17:22:19.091Z",
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        }
      ]
    },
    {
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        "value": "2026-08-03"
      },
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      "selected": true,
      "evidence": [
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          "source": "qwen-articles",
          "url": "https://qwen.ai/blog?id=8865c9dc-9833-4aa3-8c74-81c244bec7b0",
          "authority": "primary",
          "scope": {
            "kind": "model",
            "id": "Qwen/Qwen3.8-Flash-Next"
          },
          "detected_at": "2026-11-13T17:22:19.091Z",
          "checked_at": "2026-11-15T16:29:22.066Z"
        }
      ]
    },
    {
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        "value": "2026-08-26"
      },
      "release_scope": "weights_repository_revision",
      "selected": true,
      "evidence": [
        {
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          "url": "https://huggingface.co/api/models/Qwen/Qwen3.8-Flash-Next/paths-info/812d96e10a0dd82b69d749e68693698cf6c36daa",
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          },
          "detected_at": "2026-11-15T16:24:19.752Z",
          "checked_at": "2026-11-15T16:24:19.752Z"
        }
      ]
    }
  ],
  "vendor": "Alibaba",
  "summary": "Qwen3.8 Flash Next: Alibaba의 AI 모델, 가중치 공개, 출시일 2026-08-03. 컨텍스트 윈도는 262,144 토큰입니다.",
  "editorial_guide": null,
  "first_seen_at": "2026-09-09T22:09:51.837Z",
  "first_reported_at": "2026-09-02T08:16:43.000Z",
  "detection": {
    "at": "2026-10-07T19:40:57.899Z",
    "kind": "catalogue_listing",
    "evidence": [
      {
        "source": "huggingface:Qwen",
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        "authority": "vendor_owned",
        "scope": {
          "kind": "model",
          "id": "Qwen/Qwen3.8-Flash-Next"
        },
        "detected_at": "2026-10-07T19:40:57.899Z",
        "checked_at": null
      }
    ]
  },
  "days_early": null,
  "released_at": "2026-08-03T00:00:00.000Z",
  "updated_at": "2026-11-15T17:05:58.897Z",
  "forge_facts": [
    {
      "key": "access:hf-author-artifacts:Qwen",
      "value": "public",
      "observed_at": "2026-11-12T14:58:45.076Z"
    },
    {
      "key": "access:huggingface:Qwen",
      "value": "public",
      "observed_at": "2026-11-12T15:02:49.397Z"
    },
    {
      "key": "displayName",
      "value": "Qwen3.8 Flash Next",
      "observed_at": "2026-11-12T14:58:45.076Z"
    },
    {
      "key": "library",
      "value": "transformers",
      "observed_at": "2026-11-12T15:02:49.397Z"
    },
    {
      "key": "openWeights:hf-author-artifacts:Qwen",
      "value": true,
      "observed_at": "2026-11-12T14:58:45.076Z"
    },
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