This collection contains SINQ GGUF models
AI & ML interests
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Papers
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
models 23
huawei-csl/Qwen3-8B-PreSINQ-GGUF
Text Generation • 8B • Updated • 6 • 2
huawei-csl/Qwen3-0.6B-PreSINQ-GGUF
Text Generation • 0.6B • Updated • 13 • 2
huawei-csl/Qwen3-4B-PreSINQ-GGUF
Text Generation • 4B • Updated • 34 • 5
huawei-csl/Qwen3-1.7B-PreSINQ-GGUF
Text Generation • 2B • Updated • 9 • 3
huawei-csl/Qwen3-Next-80B-A3B-Instruct-4bit-SINQ
Text Generation • Updated • 6 • 2
huawei-csl/Qwen3-Next-80B-A3B-Instruct-3bit-SINQ
Text Generation • Updated • 4 • 2
huawei-csl/Qwen3-32B-3bit-ASINQ
Text Generation • 6B • Updated • 5 • 5
huawei-csl/Apertus-8B-2509-4bit-SINQ
Text Generation • 5B • Updated • 4 • 2
huawei-csl/Qwen3-32B-3bit-SINQ
Text Generation • 6B • Updated • 5 • 6
huawei-csl/Qwen3-1.7B-4bit-SINQ
Text Generation • 1B • Updated • 4 • 5
datasets 0
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