26.3.7. Qwen3.5-27B-Q4 Update: This model introduces higher-quality reasoning trajectories across domains such as science, instruction-following, and mathematics.
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https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
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mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-GGUF
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Qwen3.5-27B Q4_K_M/Q5_K_M/Q8_0 Coder Claude-4.6-Opus, All models have been tested!
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Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled is a highly capable reasoning model fine-tuned on top of the powerful Qwen3.5 architecture. The model's core directive is to leverage state-of-the-art Chain-of-Thought (CoT) distillation primarily sourced fr
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Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
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Quantization based on Jackrong / Qwen3.5-27B-GLM5.1-Distill-v1
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https://huggingface.co/peterjohannmedina/Medina-Qwen3.5-27B-OpenClaw
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A Havenlon-focused Qwen3.5 27B model for deep reasoning about execution boundaries, Adversarial Completeness, AI Agent control, evidence chains, and real-world execution.
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Model exceeds all Qwen 3.8, 3.6 and 3.5 27B critical core benchmarks. A model that gets down to business faster, with less "talking" and is smarter too.
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Qwen3.5 model (27B dense) with always-on thinking, optimized for agentic coding, tool use, and browser automation.
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480 Pulls 1 Tag Updated 5 months ago