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Sakura-Fara1.5-4B-GGUF
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Sakura-Fara1.5-9B-GGUF
webmp3Fara1.5-9B is Microsoft's computer-use agent for web browsing (Qwen3.5-9B base, multimodal: it reads browser screenshots and emits structured tool calls). This repository holds **three GGUF files of different size** made from the BF16 weights with our measured mixed-codec method. Pick one on the *Files* page; the table below says what each file is. Independent community quantization, **not** an official Microsoft release. Part of the **Sakura Mini** line. Same method, same texts, same machine for every file; lower KL divergence means closer to the BF16 original: Why: the bit budget per tensor is allocated from measured sensitivity (see *How it was made*), not from fixed rules. Full table below.
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**Built with FLUX.** Community quantization of FLUX.3 Image Klein (distilled, 16 steps, no CFG) with the official, unmodified Qwen3-VL-4B-Instruct text encoder. Independent work, not made, reviewed or endorsed by Black Forest Labs. The image model files, the VAE and the workflow are under the **FLUX Kommunity License** (copy in `LICENSE.md`: non-commercial use, or commercial use of outputs only as a Qualifying User under US$5 million revenue with the filtering or review the license requires); the unmodified text encoder is Apache-2.0 (`LICENSE-Apache-2.0.txt`). See `NOTICE`. An uncensored version of the **text encoder** (only the encoder, the image model is not changed) is available separately: Sakura-FLUX.3-Image-Klein-TextEncoder-Uncensored-GGUF. It works with the image model files of this repository. Q8_0 image model and the official text encoder, ComfyUI 0.41.1 with ComfyUI-GGUF (Radeon 8060S), 1024x1024, 16 steps, CFG 1.0, `euler`/`simple`. These are the **same nine prompts and seeds** (1202, 1302, 1305, 1306, 1105, 1103, 1503, 1506, 1406 in the order shown) as in the repositories Sakura-Qwen-Image-2.1-Turbo-GGUF and Sakura-Iris-3B-GGUF, so that the models can be compared. One seed per prompt, no re-rolls, all nine images are shown; the prompts were chosen for those repositories from a larger set, not for FLUX. The prompts are the captions of the images above. The same prompts and seeds with our uncensored text encoder are in Sakura-FLUX.3-Image-Klein-TextEncoder-Uncensored-GGUF. The FLUX images were made with ComfyUI, the Qwen and Iris images with stable-diffusion.cpp, and models, steps and samplers differ, so differences between the sets are not only differences of the text encoder. Everything except the runtime is in this repository. Pick the column of the program you use (🟦 stable-diffusion.cpp, 🟧 ComfyUI):
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**Only the prompt upsampler is edited.** black-forest-labs/flux-3-image-klein-pup is a 9B vision-language model (fine-tuned from Qwen3.5-9B by Black Forest Labs) that expands a short image request into the detailed caption the FLUX.3 image model works best with. This repository has it in a version whose **language weights we edited with an abliteration run** so that it refuses less, as GGUF with importance-matrix quantizations. The image model and its text encoder are **not** part of this repository: see Sakura-FLUX.3-Image-Klein-GGUF (image model, official text encoder) and Sakura-FLUX.3-Image-Klein-TextEncoder-Uncensored-GGUF (uncensored text encoder). For adults only; you are responsible for what you generate and for the laws that apply to you. Independent work, not made or endorsed by Black Forest Labs. Apache-2.0 (copy in `LICENSE`). **The upsampler is optional.** FLUX.3 Klein takes any prompt directly; all example images in the FLUX repositories were made without an upsampler. We did not measure whether the upsampler improves images. Memory: with Q8_0 about 8.9 GiB of weights (plus 0.9 GiB for the projector and the context); we did not measure peak memory.
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Sakura-Iris-3B-GGUF
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Sakura-Jais-3-7B-GGUF
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該当するモデルがありません
提供元・分類・入出力の条件を変更してください。新しいモデルを随時追加しています。
モデル選びに、費用の視点も。
月間トークン数を調整してAPI費用を比較。
同一チャネルの基本テキスト料金を比較
収集済みの比較可能な100万トークン当たり米ドル料金です。キャッシュ割引、段階料金、追加推論出力、税金は含みません。最新料金は出典で確認してください。
モデルを理解して選ぶ
API料金はどう比較しますか?+
入力・出力・キャッシュ料金を分け、同じ用途と使用量で総費用を比較します。画像・音声・動画は枚数、時間、解像度で課金される場合があります。
オープンウェイトは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。バージョンごとのライセンス、商用制限、ポリシー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。
ランキング1位が最適ですか?+
順位はテスト、バージョン、評価方法によります。実際の業務データで精度、遅延、安定性、費用を比較してください。