622b7ab955
[Hardware] using current_platform.seed_everything ( #9785 )
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Signed-off-by: wangshuai09 <391746016@qq.com >
2024-10-29 14:47:44 +00:00
7e7eae338d
[Misc] Standardize RoPE handling for Qwen2-VL ( #9250 )
2024-10-16 13:56:17 +08:00
6ffa3f314c
[CI/Build] Avoid CUDA initialization ( #8534 )
2024-09-18 10:38:11 +00:00
50b8d08dbd
[Misc/Testing] Use torch.testing.assert_close ( #7324 )
2024-08-16 04:24:04 +00:00
9118217f58
[LoRA] Relax LoRA condition ( #7146 )
2024-08-06 01:57:25 +00:00
99d7cabd7b
[LoRA] ReplicatedLinear support LoRA ( #7081 )
2024-08-02 22:40:19 -07:00
7ecee34321
[Kernel][RFC] Refactor the punica kernel based on Triton ( #5036 )
2024-07-31 17:12:24 -07:00
ee93f4f92a
[CORE] Quantized lm-head Framework ( #4442 )
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Co-authored-by: Robert Shaw <rshaw@neuralmagic.com >
Co-authored-by: ZX <zx@lbx.dev >
2024-07-02 22:25:17 +00:00
67005a07bc
[Bugfix] Add fully sharded layer for QKVParallelLinearWithLora ( #5665 )
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Co-authored-by: Antoni Baum <antoni.baum@protonmail.com >
2024-06-21 04:46:28 +00:00
0e9164b40a
[mypy] Enable type checking for test directory ( #5017 )
2024-06-15 04:45:31 +00:00
ccdc490dda
[Core] Change LoRA embedding sharding to support loading methods ( #5038 )
2024-06-06 19:07:57 -07:00
2e9a2227ec
[Lora] Support long context lora ( #4787 )
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Currently we need to call rotary embedding kernel for each LoRA, which makes it hard to serve multiple long context length LoRA. Add batched rotary embedding kernel and pipe it through.
It replaces the rotary embedding layer to the one that is aware of multiple cos-sin-cache per scaling factors.
Follow up of https://github.com/vllm-project/vllm/pull/3095/files
2024-05-18 16:05:23 +09:00
eefeb16464
[Kernel] Full Tensor Parallelism for LoRA Layers ( #3524 )
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Co-authored-by: Antoni Baum <antoni.baum@protonmail.com >
2024-04-27 00:03:48 -07:00
468d761b32
[Misc] Reduce supported Punica dtypes ( #4304 )
2024-04-23 18:54:33 -07:00
1e96c3341a
Add extra punica sizes to support bigger vocabs ( #4015 )
2024-04-11 22:18:57 +00:00
8af890a865
Enable more models to inference based on LoRA ( #3382 )
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Co-authored-by: Antoni Baum <antoni.baum@protonmail.com >
2024-03-25 18:09:31 -07:00
01bfb22b41
[CI] Try introducing isort. ( #3495 )
2024-03-25 07:59:47 -07:00
f1c0fc3919
Migrate logits computation and gather to model_runner ( #3233 )
2024-03-20 23:25:01 +00:00
2f8844ba08
Re-enable the 80 char line width limit ( #3305 )
2024-03-10 19:49:14 -07:00
93dc5a2870
chore(vllm): codespell for spell checking ( #2820 )
2024-02-21 18:56:01 -08:00
96b6f475dd
Remove hardcoded device="cuda" to support more devices ( #2503 )
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Co-authored-by: Jiang Li <jiang1.li@intel.com >
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com >
2024-02-01 15:46:39 -08:00
9b945daaf1
[Experimental] Add multi-LoRA support ( #1804 )
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Co-authored-by: Chen Shen <scv119@gmail.com >
Co-authored-by: Shreyas Krishnaswamy <shrekris@anyscale.com >
Co-authored-by: Avnish Narayan <avnish@anyscale.com >
2024-01-23 15:26:37 -08:00
wangshuai09