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Hugging Face
AI Model·2026
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Swift 1.5 Qwen3.8-27B · GSQ-RCO

UkisAI, Deep Algorithms and Systems Lab, Institute of Science and Technology Austria (ISTA-DASLab) +1

Provides compact mixed-precision GGUF quantizations of UkisAI's Swift 1.5 (derived from Qwen3.8-27B), using ISTA GSQ-RCO per-tensor allocations with Swift-specific refinement. Offers multiple 8–12 GB tiers, optional MTP heads, and KLD evaluation against the Swift BF16 baseline.

#gguf#llama.cpp#qwen#quantization#llm+2
Hugging Face
AI Model·2026
Icon for item

Qwen3.8-Flash-Next · GSQ-RCO Coder

Deep Algorithms and Systems Lab (DASLab), Institute of Science and Technology Austria (ISTA)

Capability-targeted compression of Qwen3.8-Flash-Next: half the experts are removed and remaining weights quantized to 3.5 bpw, producing a 58.4 GB GGUF (29.6 GB resident) that preserves coding and multimodal ability while trading off other domains.

#gguf#gsq#quantization#pruning#moe+6
Hugging Face
AI Model·2026
Icon for item

OrcaSAQ-2-Cyber-27B-Uncensored-GGUF

orcarouter

Provides a high-fidelity mixed-precision (≈3-bit) GGUF quant of Qwen3.8-27B tailored for long-horizon agent workloads and cyber-focused red-teaming. Preserves reasoning, thinking mode, MTP speculative decoding and vision (via a separate mmproj); released as an uncensored/abliterated research build under Apache-2.0.

#qwen#gguf#llama.cpp#quantization#imatrix+8
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