20+ models
Quantization based on Jackrong / Qwen3.5-27B-GLM5.1-Distill-v1
26.3.7. Qwen3.5-27B-Q4 Update: This model introduces higher-quality reasoning trajectories across domains such as science, instruction-following, and mathematics.
https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
mradermacher/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-heretic-GGUF
Qwen3.5-27B Q4_K_M/Q5_K_M/Q8_0 Coder Claude-4.6-Opus, All models have been tested!
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
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
A Havenlon-focused Qwen3.5 27B model for deep reasoning about execution boundaries, Adversarial Completeness, AI Agent control, evidence chains, and real-world execution.
https://huggingface.co/peterjohannmedina/Medina-Qwen3.5-27B-OpenClaw
Qwen3.5 model (27B dense) with always-on thinking, optimized for agentic coding, tool use, and browser automation.
Qwen 3.8 Ollama profiles for RTX 5090 27B with vision, thinking mode, and native tool calling