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      "url": "https://github.com/ROCm/ATOM/pull/2701",
      "quote": "does for the target (vLLM already did this). MiniMax-M3's DSpark draft now validates this config instead of building its own, and declares `draft_skips_online_quant` so its",
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      "url": "https://github.com/ROCm/ATOM/pull/3194",
      "quote": "under `multi`, which is the prefill-side setup for MiniMax-M3 PD with UMBP:",
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      "source_label": "GitHub search · MiniMax · pulls · ROCm/aiter · @zhiding512",
      "url": "https://github.com/ROCm/aiter/pull/7619",
      "quote": "On gfx1250, every MiniMax-M3 sparse attention call (decode, MTP verify, prefill) runs FlyDSL `pa_decode` (`pa_fwd_asm` does not support gfx1250), and dense layers use it with",
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      "source_label": "GitHub search · MiniMax · pulls · anomalyco/models.dev · @rjuez00",
      "url": "https://github.com/anomalyco/models.dev/pull/13443",
      "quote": "- `MiniMax-M3` is no longer listed and a request using that ID returns `model=MiniMax-M3.1-Flash`, so the old entry is removed rather than kept as an",
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      "reference": "record:github-search:minimax:pulls:ashhart/TensorFold:pull:3123:minimax-m3",
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      "url": "https://github.com/ashhart/TensorFold/pull/3123",
      "quote": "CUDA decode attention (`window_attention`, shared by Qwen3.5/3.8, Llama, MiniMax-M3, Spark 2.5, Step5 and LFM): `window_rows` merged every chunk's partial for every row, 128 chunks at",
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      "url": "https://github.com/boelabs/ai-gateway/pull/22",
      "quote": "- `bun run test` fails: `vercel.test.ts` pins `vercel/minimax/minimax-m3` reasoning as `fixed [\"high\"]`; the regenerated snapshot now says `openai_effort [\"none\",\"high\"]`. Tests may not be edited by",
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        "value": "2026-07-26T21:18:31Z"
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      "source_label": "GitHub search · MiniMax · pulls · ghuntley/how-to-build-a-coding-agent · @octo-patch",
      "url": "https://github.com/ghuntley/how-to-build-a-coding-agent/pull/20",
      "quote": "Anthropic-compatible defaults to the standalone workshop agents, with MiniMax-M3.1-Flash as the default and MiniMax-M3 as the alternative.",
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      "reference": "record:github-search:minimax:pulls:goonercbot/hermes-agent:pull:39:minimax-m3",
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      "quote": "- Real configured MiniMax-M3 request through corrected Hermes adapter returned exactly `RECOVERY_OK`, end_turn, original request unchanged.",
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      "url": "https://github.com/inference-sim/blis-vllm/pull/134",
      "quote": "the figures on the H200 rows and the MiniMax-M3 points are development-split, in-sample numbers.",
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      "reference": "record:github-search:minimax:pulls:inference-sim/blis-vllm:pull:99:minimax-m3",
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      "source_label": "GitHub search · MiniMax · pulls · inference-sim/blis-vllm · @sriumcp",
      "url": "https://github.com/inference-sim/blis-vllm/pull/99",
      "quote": "(`vllm/model_executor/models/config.py:43-55`) for every graph that is not DeepSeek-V4; MiniMax-M3's pool at the same memory is 72645 blocks, not 72893, because the catalog graph now holds",
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      "source_label": "GitHub search · MiniMax · pulls · inference-sim/inference-sim · @sriumcp",
      "url": "https://github.com/inference-sim/inference-sim/pull/2104",
      "quote": "the substrate's layer 8 and 9 price changes (MiniMax-M3 routers replicated in fp32, MXFP8 scale bytes, dsv4-nvfp4 MTP experts at MXFP4, a shared lm_head for",
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      "reference": "record:github-search:minimax:pulls:jundot/omlx:pull:5239:minimax-m3",
      "kind": "editorial_mention",
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        "value": "2026-11-13T14:41:26Z"
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      "source_label": "GitHub search · MiniMax · pulls · jundot/omlx · @begcdn",
      "url": "https://github.com/jundot/omlx/pull/5239",
      "quote": "On M2 Ultra (`applegpu_g14d`) the MiniMax-M3 sparse prefill path crashes once a prompt crosses 4096 tokens: `msa_prefill_supported` gates only on shape (`D=128`, `block_size=128`, `qhead_per_kv=16`), so",
      "co_mentions": []
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      "reference": "record:github-search:minimax:pulls:openJiuwen-ai/jiuwenswarm:pull:2117:minimax-m3",
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        "precision": "time",
        "value": "2026-11-13T13:56:32Z"
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      "source_label": "GitHub search · MiniMax · pulls · sgl-project/sglang · @alphabetc1",
      "url": "https://github.com/sgl-project/sglang/pull/50334",
      "quote": null,
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    {
      "reference": "record:github-search:minimax:pulls:tenstorrent/tt-metal:pull:64261:minimax-m3",
      "kind": "editorial_mention",
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        "precision": "time",
        "value": "2026-11-04T15:14:37Z"
      },
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      "source": "github-search:minimax:pulls",
      "source_label": "GitHub search · MiniMax · pulls · tenstorrent/tt-metal · @mdragulaTT",
      "url": "https://github.com/tenstorrent/tt-metal/pull/64261",
      "quote": "The MiniMax-M3 vision encoder on one Blackhole chip. It turns one image, as the media module's `prepare` resizes it, into its vision tokens: bf16 `[n_tokens,",
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    {
      "reference": "record:github-search:minimax:pulls:tenstorrent/tt-metal:pull:64459:minimax-m3",
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      "source_label": "GitHub search · MiniMax · pulls · tenstorrent/tt-metal · @mdragulaTT",
      "url": "https://github.com/tenstorrent/tt-metal/pull/64459",
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      "co_mentions": []
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      "reference": "record:github-search:minimax:pulls:thequanhcm/quanpt1:pull:28:minimax-m3",
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      "source_label": "GitHub search · MiniMax · pulls · thequanhcm/quanpt1 · @thequanhcm",
      "url": "https://github.com/thequanhcm/quanpt1/pull/28",
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      "reference": "record:github-search:minimax:pulls:viztor/dsh-opencode-patch:pull:113:minimax-m3",
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        "precision": "time",
        "value": "2026-10-24T13:32:29Z"
      },
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      "source": "github-search:minimax:pulls",
      "source_label": "GitHub search · MiniMax · pulls · viztor/dsh-opencode-patch · @viztor",
      "url": "https://github.com/viztor/dsh-opencode-patch/pull/113",
      "quote": "| `opencode-go/minimax-m3` | info | `[KNOWN_DEFECT]` toggle-only model offered Minimal…Max | Off / On (D1) |",
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    },
    {
      "reference": "record:github-search:minimax:pulls:vllm-project/vllm:pull:62098:minimax-m3",
      "kind": "editorial_mention",
      "at": "2026-11-13T19:04:38.386Z",
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        "precision": "time",
        "value": "2026-10-16T22:35:13Z"
      },
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      "source": "github-search:minimax:pulls",
      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @wolfcomos",
      "url": "https://github.com/vllm-project/vllm/pull/62098",
      "quote": "Add `minimax_m3_msa_decode_fp16_dot`, an opt-in optimization for MiniMax-M3 Triton sparse decode on SM100-family GPUs. It uses FP16 dot operands with FP32 accumulation and selects splits targeting",
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    {
      "reference": "record:github-search:minimax:pulls:vllm-project/vllm:pull:64089:minimax-m3",
      "kind": "editorial_mention",
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        "precision": "time",
        "value": "2026-10-27T16:14:13Z"
      },
      "historical": true,
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      "source": "github-search:minimax:pulls",
      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @afriedri",
      "url": "https://github.com/vllm-project/vllm/pull/64089",
      "quote": "short prompts at high concurrency is higher on MiniMax-M3 (TP8: up to +21% at 1024 tokens, conc 64; TP4: +14% at 1024",
      "co_mentions": []
    },
    {
      "reference": "record:github-search:minimax:pulls:vllm-project/vllm:pull:65433:minimax-m3",
      "kind": "editorial_mention",
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        "value": "2026-11-03T16:14:11Z"
      },
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      "source": "github-search:minimax:pulls",
      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @MrGeva",
      "url": "https://github.com/vllm-project/vllm/pull/65433",
      "quote": "[Perf][MiniMax-M3] Raise the fused MoE finalize + all-reduce cap from 32 to 128 tokens",
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    {
      "reference": "record:github-search:minimax:pulls:vllm-project/vllm:pull:65434:minimax-m3",
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      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @MrGeva",
      "url": "https://github.com/vllm-project/vllm/pull/65434",
      "quote": "[Perf][MiniMax-M3] Two-shot fused MoE finalize + all-reduce + norm + MXFP8 up to 512 tokens",
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    {
      "reference": "record:github-search:minimax:pulls:vllm-project/vllm:pull:65453:minimax-m3",
      "kind": "editorial_mention",
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      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @cjackal",
      "url": "https://github.com/vllm-project/vllm/pull/65453",
      "quote": "- Pixtral, Cohere Compass and MiniMax-M3 also call `get_cu_seqlens_padding_logics`, so every encoder-CG model whose `cu_seqlens` comes from `maybe_recompute_cu_seqlens` takes its padding from one place. Without",
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      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @Pb314314",
      "url": "https://github.com/vllm-project/vllm/pull/67338",
      "quote": "use sparse MLA (dense MLA, DeepSeek-V4 / V4.1, MiniMax-M3, non-MLA models) are not affected; the reason for each is in \"Per-model check\".",
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      "source_label": "GitHub search · MiniMax · pulls · vllm-project/vllm · @Vincent-PRO-AI",
      "url": "https://github.com/vllm-project/vllm/pull/67518",
      "quote": "[Model][MiniMax-M3] SM120 Blackwell NVFP4 KV cache Triton reader",
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      "reference": "record:github-search:minimax:pulls:xiaoY233/Chat2API:pull:184:minimax-m3",
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      "source_label": "GitHub search · MiniMax · pulls · xiaoY233/Chat2API · @octo-patch",
      "url": "https://github.com/xiaoY233/Chat2API/pull/184",
      "quote": "feat(minimax): add MiniMax-M3 model entry",
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      "reference": "record:github-search:minimax:commits:Lore-Hex/quill-router:commit:664e5541dd2f40274ca93378ac783395e1c3576c:minimax-m3",
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