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AI Models 84755

• Vecteus-V2-7B-GGUF↗

  MCZK

• HARC-Qwen2.5-7B-Instruct↗

  Microsoft

• MiniMax-M3-MXFP8↗

  MiniMaxAI

  MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters. **Highlights:** - **Native Multimodality:** M3 undergoes mixed-modality training from the very first step, enabling deeper semantic fusion across text, image, and video. - **Context Scaling via Sparse Attention:** M3 introduces MiniMax Sparse Attention (MSA) to improve long context efficiency. M3 delivers 9× prefill and 15× decode speedups compared to M2 at 1M context, reducing per-token compute to 1/20. - **Coding & Cowork Capability:** M3 achieves frontier-level performance across long-horizon agentic benchmarks, excelling in both coding and cowork. MiniMax-M3-MXFP8 is the MXFP8 quantized variant of MiniMax-M3, a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.

• Qwen2.5-VL-7B-Instruct-4bit↗

  mlx-community

  This model was converted to MLX format from `Qwen/Qwen2.5-VL-7B-Instruct` using mlx-vlm version **0.1.11**. Refer to the original model card for more details on the model.

• Ahma-7B-GGUF↗

  mradermacher

• ALIA-40b-instruct-2605-i1-GGUF↗

  mradermacher

• ArliArli-Meg-i1-GGUF↗

  mradermacher

• Claire-3B-v0.2-i1-GGUF↗

  mradermacher

• Cognita-Mini-167M-GGUF↗

  mradermacher

• Cydonia-24B-v4.3-GGUF↗

  mradermacher