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reacted to eaddario's post with 🔥 about 17 hours ago
Experimental global target bits‑per‑weight quantization of Qwen/Qwen3.8-27B, including MTP tensors in imatrix file. Unlike standard llama.cpp quantization that rely on fixed type heuristics (e.g., Q4_K_M), the Target BPW approach automatically optimizes per-tensor precision where it matters the most, and produces high quality models that meet a precise global size target. Key Advantages: - VRAM Maximization: Can generate high quality models sized exactly to fit hardware constraints (e.g., fitting the model into exactly 24GB VRAM). - Data-Driven Precision: Quantization mix is determined by actual weight error sensitivity rather than hardcoded rules, often yielding better PPL/KLD size trade-offs. - imatrix includes data for MTP/NextN layers. Full benchmarks (PPL, KLD, ARC, GPQA, MMLU, etc.) and methodology in the model's card. https://huggingface.co/eaddario/Qwen3.8-27B-GGUF
reacted to onekq's post with 👀 about 17 hours ago
My guess on Ox Alpha -> GLM
reacted to Unmute1Ai's post with 🔥 about 17 hours ago
Updated X post (with call to action) U1 control-plane evidence is now frozen and public. Release: u1-control-plane-evidence-v2.6-enterprise U1 separates agent capability from execution authority. Under the tested policy boundary, capability increased while authority lift remained zero and no unauthorized effects were observed. Evidence invariant: • Capability ↑
• World Topology unchanged
• Authority fixed
• Unauthorized Effects = 0
• Audit Integrity = VALID Internally tested, publicly reproducible evidence. Not externally certified. Canonical package + full hashes + signature: [Hugging Face link] Review it. Reproduce it. Challenge it. Independent scrutiny is the next step. Making accessibility mainstream — as a movement.
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