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AIモデルライブラリ/WaveCut/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-DFlash2-NInfer-v3
モデル情報

Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-DFlash2-NInfer-v3

WaveCut · Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-DFlash2-NInfer-v3

A single-file NInfer **v3** artifact carrying the community uncensored tune HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF as the target model and the official z-lab/Qwen3.8-27B-DFlash2 draft model as the DFlash2 speculative companion (recipe `qwen3_8_27b-v2`, the first NInfer recipe with the DFlash2 payload). The native NextN/MTP head of the tune is preserved as well, so both `--spec mtp` and `--spec dflash2` work. It runs on **NInfer-all**, the `master` branch of iamwavecut/ninfer-all, which serves the RTX 3090, RTX 4090, RTX 5090 and RTX PRO 6000 Blackwell. Its first (v2) release ran on stock NInfer, which builds only for the RTX 5090; this v3 file was verified on NInfer-all. `--spec mtp --draft-tokens 3 --lm-head-draft` selects the tune's own NextN head instead. Vision (`--vision`) is the official tower: the release's BF16 projector reproduces it bit-for-bit through the FP16 export path, so the artifact carries the official BF16 vision words. **Hardware.** Upstream NInfer targets one RTX 5090 (`sm_120a`, 32 GB). NInfer-all serves the same `qwen3.8-27b / groupwise-int` identity with DFlash2 on the RTX 3090, 4090, 5090 and RTX PRO 6000: its Docker image needs an NVIDIA driver of the CUDA 13 branch (580 or newer) and the NVIDIA Container Toolkit, and a build (its README) sets `CMAKE_CUDA_ARCHITECTURES` to `86`, `89` or `120a`. The speed of the official artifact of this identity on each card is in its reference measurements, this tune itself was not measured there. On 24 GB cards the official artifact of the same size fits DFlash2 with five drafts beside 258,048 tokens of `rk4v4` KV on the 3090 and 245,760 on the 4090 (`--kv-dtype rk4v4 --gdn-state-fp16 --spec dflash2 --draft-tokens 5`).

翻訳待ちのため原文を表示しています。

画像質問応答license:apache-2.0
コンテキスト長非公開
入力 → 出力テキスト、画像 → テキスト
モデルウェイト未確認
情報更新日時2026/11/2 19:15:54
OVERVIEW

モデル紹介

A single-file NInfer **v3** artifact carrying the community uncensored tune HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF as the target model and the official z-lab/Qwen3.8-27B-DFlash2 draft model as the DFlash2 speculative companion (recipe `qwen3_8_27b-v2`, the first NInfer recipe with the DFlash2 payload). The native NextN/MTP head of the tune is preserved as well, so both `--spec mtp` and `--spec dflash2` work. It runs on **NInfer-all**, the `master` branch of iamwavecut/ninfer-all, which serves the RTX 3090, RTX 4090, RTX 5090 and RTX PRO 6000 Blackwell. Its first (v2) release ran on stock NInfer, which builds only for the RTX 5090; this v3 file was verified on NInfer-all. `--spec mtp --draft-tokens 3 --lm-head-draft` selects the tune's own NextN head instead. Vision (`--vision`) is the official tower: the release's BF16 projector reproduces it bit-for-bit through the FP16 export path, so the artifact carries the official BF16 vision words. **Hardware.** Upstream NInfer targets one RTX 5090 (`sm_120a`, 32 GB). NInfer-all serves the same `qwen3.8-27b / groupwise-int` identity with DFlash2 on the RTX 3090, 4090, 5090 and RTX PRO 6000: its Docker image needs an NVIDIA driver of the CUDA 13 branch (580 or newer) and the NVIDIA Container Toolkit, and a build (its README) sets `CMAKE_CUDA_ARCHITECTURES` to `86`, `89` or `120a`. The speed of the official artifact of this identity on each card is in its reference measurements, this tune itself was not measured there. On 24 GB cards the official artifact of the same size fits DFlash2 with five drafts beside 258,048 tokens of `rk4v4` KV on the 3090 and 245,760 on the 4090 (`--kv-dtype rk4v4 --gdn-state-fp16 --spec dflash2 --draft-tokens 5`).

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

PRICING & COST

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

出典・チャネル入力出力課金単位収集日時
確認可能な料金がありません。出典を確認してください。

月額の基本トークン費用を試算

—

試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。

INDEPENDENT BENCHMARKS

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

収録済みの全ランキング →

よくある質問

オープンウェイトなら無料で商用利用できますか？

必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。

これはリアルタイムの請求料金ですか？

収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。

出典と追跡記録

huggingface · WaveCut/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-DFlash2-NInfer-v3 ↗2026/11/1 05:59:37
huggingface · enrich:a4d836d1-9171-400e-8928-649feb1e4623 ↗2026/10/29 20:12:11

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。