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AI 模型 84759

• opus-mt-ar-en↗

  Xenova

• Ektome-Qwen2-0.5Bi-PristinelyUncensored↗

  Zynerji

• Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-GGUF↗

  12bitmisfit

• Ornith-1.5-9B-GSQ-RCO-GGUF↗

  abenzerps

  Mixed-precision **GSQ-RCO** GGUF quantizations of ornith-ai/Ornith-1.5-9B, optimized for efficient, high-fidelity local inference in `llama.cpp`. The model supports a context length of up to 262,144 tokens (262K). Standard quantization severely degrades hybrid SSM-Transformer models (e.g. stock IQ3_M perplexity drops to ~75.2). **GSQ-RCO** solves this through two targeted techniques: - **RCO:** Keeps all 48 critical SSM parameters in unquantized **BF16**. - **GSQ:** Optimizes per-layer precision guided by Hessian sensitivity calibration.

• Spark-X2.5-4B-MLX-4bit↗

  abenzerps

• TSHIRTDESIGN-REDMOND-QWENIMAGE↗

  artificialguybr

• ChatHercules-2.5-Mistral-7B-GGUF↗

  bartowski

• MiniCPM-V-2_6-GGUF↗

  bartowski

• Qwen_Qwen3-235B-A22B-Thinking-2507-GGUF↗

  bartowski

• Gemma-4-14B-A4B-Heretic-v2-GGUF↗

  blascotobasco