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mirror of https://git.datalinker.icu/vllm-project/vllm.git synced 2026-06-02 10:31:18 +08:00
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vllm/vllm/model_executor/layers
History
shiyi.c_98 64da65b322
Prefix Caching- fix t4 triton error (#2517)
2024-02-16 14:17:55 -08:00
..
quantization
Refactor 2 awq gemm kernels into m16nXk32 (#2723)
2024-02-12 11:02:17 -08:00
triton_kernel
Prefix Caching- fix t4 triton error (#2517)
2024-02-16 14:17:55 -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
Revert "Refactor llama family models (#2637)" (#2851)
2024-02-13 09:24:59 -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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