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a4211a4dc3a83d9e58eb7ee2f015aa033159c267
vLLM/vllm/model_executor/layers
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RexandChunan Zeng 563836496a Refactor 2 awq gemm kernels into m16nXk32 (#2723)
Co-authored-by: Chunan Zeng <chunanzeng@Chunans-Air.attlocal.net>
2024-02-12 11:02:17 -08:00
..
quantization
Refactor 2 awq gemm kernels into m16nXk32 (#2723)
2024-02-12 11:02:17 -08:00
triton_kernel
[Experimental] Prefix Caching Support (#1669)
2024-01-17 16:32:10 -08:00
__init__.py
Change the name to vLLM (#150)
2023-06-17 03:07:40 -07:00
activation.py
Remove hardcoded device="cuda" to support more devices (#2503)
2024-02-01 15:46:39 -08:00
attention.py
[ROCm] support Radeon™ 7900 series (gfx1100) without using flash-attention (#2768)
2024-02-10 23:14:37 -08:00
fused_moe.py
Add fused top-K softmax kernel for MoE (#2769)
2024-02-05 17:38:02 -08:00
layernorm.py
Add PyTorch-native implementation of custom layers (#1898)
2023-12-02 21:18:40 -08:00
linear.py
Remove hardcoded device="cuda" to support more devices (#2503)
2024-02-01 15:46:39 -08:00
rejection_sampler.py
[Speculative decoding 1/9] Optimized rejection sampler (#2336)
2024-01-09 15:38:41 -08:00
rotary_embedding.py
Remove hardcoded device="cuda" to support more devices (#2503)
2024-02-01 15:46:39 -08:00
sampler.py
[Experimental] Add multi-LoRA support (#1804)
2024-01-23 15:26:37 -08:00
vocab_parallel_embedding.py
Remove hardcoded device="cuda" to support more devices (#2503)
2024-02-01 15:46:39 -08:00
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