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DedeProGames

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Thinking and Agentic Finetuning

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reacted to DavidAU's post with 🔥 about 8 hours ago

Qwen 3.6 27B - Fable Fusion 711 - Closed Source AI Performance Levels 1256 likes || 1.37 Million downloads || 32 quant repos || Multiple 3rd party performance verification. The strongest Qwen 3.6 27B fine tune BASE ever. It beats everyone - confirmed by 3rd party evaluation, multiple users, and in depth testing. Q8 runs hotter and better than BF16 of the org Qwen 3.6 27B from Qwen. And so does the 4 bit versions too. GGUFS (MTP/Reg) and Several other quant types too: https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF SOURCE: https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP (you can try it right in your browser at the source repo) PS: 40B versions in testing, already SOTA levels beyond Qwen 3.6 27B. arc/c arc/e boolq hswag obkqa piqa wino Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF [instruct mode] mxfp8 0.711,0.879,0.910,0.790,0.514,0.823,0.763 mxfp4 0.701,0.873,0.909,0.786,0.488,0.813,0.759 Qwen3.6-27B-Instruct: [base, non heretic] mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742 Qwen3.6-35B-A3B-Instruct [base, non heretic] mxfp8 0.581,0.757,0.892,0.751,0.428,0.803,0.688

reacted to DavidAU's post with 🚀 about 8 hours ago

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DynamicMind-Mini-Instruct just released! A ~8.9m parameters model instruction-tuned based on DynamicMind-Mini

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🚀 Introducing the GRM-3.2 Family

The GRM-3.2 family is a new generation of reasoning-focused models from OrionLLM, purpose-built for long-horizon agentic tasks, extremely difficult reasoning problems, advanced coding, and local AI workflows across a wide range of hardware constraints.

GRM-3.2-Sky is the flagship model in the family: a 35B-A3B Mixture-of-Experts model built on the Ornith-1.0-35B architecture, designed for elite structured reasoning, complex multi-file coding, advanced mathematics, and sustained coherence across extended agentic workflows. It represents a substantial leap in long-horizon task capability over its predecessor, GRM-2.6-Plus.

GRM-3.2-Cliff is the mid-sized workhorse: a 9B-parameter model optimized for long-horizon agentic tasks and difficult reasoning in low-to-mid GPU environments. It delivers strong multi-step planning, debugging, and terminal-agent performance without demanding flagship-level hardware.

GRM-3.2-Turf is the lightweight edge model: a 1.2B-parameter model based on the LiquidAI/LFM2.5-1.2B-Thinking architecture, engineered for efficient on-device execution, high-fidelity instruction following, and robust tool use on mobile, embedded, and other resource-constrained hardware.

All three models are designed for users who need dependable reasoning engines that can maintain goal-directed behavior, planning quality, and task fidelity across many steps—whether on a server, a local workstation, or an edge device.

Models:
GRM-3.2-Sky: OrionLLM/GRM-3.2-Sky
GRM-3.2-Cliff: OrionLLM/GRM-3.2-Cliff
GRM-3.2-Turf: OrionLLM/GRM-3.2-Turf

Organization:

OrionLLM