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AI モデル 84759

• epicrealism-xl-v8kiss-sdxl↗

  John6666

• Qwen-Image-2.1-MLX-8bit↗

  JoyFusionAI

  Qwen/Qwen-Image-2.1 quantized to 8-bit for Apple Silicon with mflux (`mflux-save -q 8`, commit `8c00dab2`). `--low-ram` releases the text encoder after prompt encoding and tiles the VAE decode. Measured on an M1 Max at 768×768: peak memory ~10 GB (vs. 33–36 GB without it), ~6.7 s/step, no visible quality change. Defaults recommended by the model authors: 40 steps, no guidance. Image sizes must be divisible by 16.

• all-MiniLM-L6-v2↗

  KnightsAnalytics

• Qwen-Image-2.1-Uncensored-GGUF↗

  laazuri

• LanguageBind_Image↗

  LanguageBind

• wav2vec2-FR-7K-large↗

  LeBenchmark

• LFM2-350M-Extract-GGUF↗

  LiquidAI

• LFM2.5-1.2B-Instruct-GGUF↗

  LiquidAI

  LFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct The Quantization-Aware Distillation (QAD) checkpoint is available as `LFM2.5-1.2B-Instruct-QAD-Q4_0.gguf`.

• LFM2.5-8B-A1B-MLX-4bit↗

  LiquidAI

• Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp↗

  LMLiutenant