Kimi-2.5-text-nvfp4-v6-mlp-only
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DeepSeek-V3-FP4
basetenThis is the quantized version of the DeepSeek AI's DeepSeek-V3-0324 model, which quantized with TensorRT Model Optimizer.
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View details ↗GLM-5.2-Vision-NVFP4
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View details ↗Kimi-K2-Instruct-FP4
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View details ↗math-adam-qwen38_27b-expert
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View details ↗Fine-Tashkeel
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View details ↗Qwen-Image-2.1-Uncensored-GGUF
basileleuwa> [!IMPORTANT] > The uncensored GGUFs are now available! > If you encounter any issues or would like to share your generated images, feel free to post them in the Community section. GGUF quantizations of Qwen/Qwen-Image-2.1 for local image generation using the original upstream base weights. All required companion files (GGUF transformer, text encoder, and VAE) are hosted directly in this repository.
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View details ↗SmolLM3-3B-GGUF
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View details ↗Fara-7B-GGUF
batiai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-12B-it-GGUF
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View details ↗Gemma-4-26B-A4B-it-GGUF
batiai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-31B-it-GGUF
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View details ↗gemma-4-E2B-it-GGUF
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View details ↗gemma-4-E4B-it-GGUF
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View details ↗GLM-5.3-Flash-GGUF
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View details ↗Qwen3.6-27B-GGUF
batiai> 🆕 **Newer model available — Qwen3.8-27B GGUF** > Qwen's 2026-08 release. Same 27B class, six quants from 10 GB, vision included, Korean-verified. > `ollama run batiai/qwen3.8-27b:iq4` > **"Flagship Coding in a 27B Dense Package"** — imatrix-calibrated GGUF quantizations of **Qwen/Qwen3.6-27B** (dense, multimodal-capable) for on-device AI on Mac. > Built and verified by BatiAI for BatiFlow — free, unlimited, on-device AI automation. > 🔥 **100,000+ downloads** — the most-pulled model in the `batiai` org. Thanks for running it on your Mac. **Running this locally? BatiFlow turns it into a full on-device automation assistant — free.** > > _If it's useful, a ❤️ helps other Mac users find it._
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View details ↗Qwen3.6-35B-A3B-GGUF
batiai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-27B-GGUF
batiai> ### Qwen's newest 27B — on your Mac, in Korean, in one line. > **Weights dropped 2026‑08‑13.** Quantized the same week, straight from the official release. > Six sizes from **10 GB**, vision projector included, **Korean output actually tested** — and > Ollama tags published alongside, which most GGUF drops skip. Qwen's newest generation, built on the Qwen3.5 architecture — and the first 27B they call "deployment‑friendly" while keeping frontier behaviour. Straight from the official card: Architecture/context figures from the official model card. Qwen's published benchmark numbers are for the **full‑precision base model** — we don't restate them here, because what we can honestly report is what *these quants* did on our machine (below).
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View details ↗Qwen3.8-Flash-Next-GGUF
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View details ↗Qwen3-Reranker-8B-GGUF
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