AI is happening. The future is updating.Qwen3.8-27B-SLQ-GGUF
This is Qwen/Qwen3.8-27B, compressed with a **customized version of SLQ (Statistically-Lossless Quantization)** and assembled as GGUF. The search combines existing quantized donor weights and chooses a source separately for 498 complete matrices, including embeddings and the output head. The filename suffixes **Q5_K_S**, **Q5_K_M**, and **Q6_K** are Hub compatibility and dominant-precision-family labels for these **custom SLQ allocations**. The search considered **UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, Q4_0, Q8_0, and BF16** from unsloth/Qwen3.8-27B-GGUF, plus **IQ3_S** from ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF. Identical tensor payload alternatives were canonicalized. The final three models select no GSQ donor tensors; its candidates remained eligible during search.
This is Qwen/Qwen3.8-27B, compressed with a **customized version of SLQ (Statistically-Lossless Quantization)** and assembled as GGUF. The search combines existing quantized donor weights and chooses a source separately for 498 complete matrices, including embeddings and the output head. The filename suffixes **Q5_K_S**, **Q5_K_M**, and **Q6_K** are Hub compatibility and dominant-precision-family labels for these **custom SLQ allocations**. The search considered **UD-Q4_K_XL, UD-Q5_K_XL, UD-Q6_K_XL, Q4_0, Q8_0, and BF16** from unsloth/Qwen3.8-27B-GGUF, plus **IQ3_S** from ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF. Identical tensor payload alternatives were canonicalized. The final three models select no GSQ donor tensors; its candidates remained eligible during search.