GPTQModel v1.7.4

What's Changed

⚡ Faster packing for post-quantization model weight save.
⚡ Triton kernel now validated for Intel/XPU when Intel Triton package is installed.
⚡ New compile() api that allows torch to improve tps by ~4-8%. May need to disable flash_attention for some kernels.
🐛 Fix HF Transformers bug of downcasting fast tokenizer class on save.
🐛 Fix inaccurate bpw calculations.
🐛 Fix ROCm compile with setup.py

• Fix exllama slow pack() by @CSY-ModelCloud in #1128
• use optimized torch.round() codes by @CSY-ModelCloud in #1131
• fix shape mismatch for packing by @CSY-ModelCloud in #1132
• Speed up triton dequant by @Qubitium in #1136
• add torch compile with backend aot_ts by @CSY-ModelCloud in #1139
• disable sampling by @Qubitium in #1141
• mod triton-xpu by @CL-ModelCloud in #1135
• supress dynamo error by @CSY-ModelCloud in #1143
• fix bpw by @CL-ModelCloud in #1150
• [FIX] fix incorrectly saved the slow tokenizer by @LRL-ModelCloud in #1151
• Add mod chat by @CL-ModelCloud in #1154
• optimize pack by @Qubitium in #1153
• add quant time test by @CL-ModelCloud in #1155
• Export to hf model by @LRL-ModelCloud in #1157
• Fix bpw calculation by @Qubitium in #1163
• Inference speed test by @CL-ModelCloud in #1159

New Contributors

• @isaranto made their first contribution in #1162

Full Changelog: v1.7.3...v1.7.4