Woosuk Kwon
925f3332ca
[Core] Refactor Attention Take 2 ( #3462 )
2024-03-25 04:39:33 +00:00
Roy
f1c0fc3919
Migrate logits computation and gather to model_runner ( #3233 )
2024-03-20 23:25:01 +00:00
Zhuohan Li
2f8844ba08
Re-enable the 80 char line width limit ( #3305 )
2024-03-10 19:49:14 -07:00
Woosuk Kwon
2daf23ab0c
Separate attention backends ( #3005 )
2024-03-07 01:45:50 -08:00
Roy
d9f726c4d0
[Minor] Remove unused config files ( #3039 )
2024-02-26 17:25:22 -08:00
Philipp Moritz
ea356004d4
Revert "Refactor llama family models ( #2637 )" ( #2851 )
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This reverts commit 5c976a7e1a1bec875bf6474824b7dff39e38de18.
2024-02-13 09:24:59 -08:00
Roy
5c976a7e1a
Refactor llama family models ( #2637 )
2024-02-13 00:09:23 -08:00
Zhuohan Li
fd4ea8ef5c
Use NCCL instead of ray for control-plane communication to remove serialization overhead ( #2221 )
2024-01-03 11:30:22 -08:00
Woosuk Kwon
37ca558103
Optimize model execution with CUDA graph ( #1926 )
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Co-authored-by: Chen Shen <scv119@gmail.com>
Co-authored-by: Antoni Baum <antoni.baum@protonmail.com>
2023-12-16 21:12:08 -08:00
CHU Tianxiang
0fbfc4b81b
Add GPTQ support ( #916 )
2023-12-15 03:04:22 -08:00
Woosuk Kwon
fe470ae5ad
[Minor] Fix code style for baichuan ( #2003 )
2023-12-09 19:24:29 -08:00
firebook
2b981012a6
Fix Baichuan2-7B-Chat ( #1987 )
2023-12-08 09:38:36 -08:00
Woosuk Kwon
e5452ddfd6
Normalize head weights for Baichuan 2 ( #1876 )
2023-11-30 20:03:58 -08:00
Woosuk Kwon
27feead2f8
Refactor Worker & InputMetadata ( #1843 )
2023-11-29 22:16:37 -08:00
Woosuk Kwon
a9e4574261
Refactor Attention ( #1840 )
2023-11-29 15:37:31 -08:00
Woosuk Kwon
7c600440f7
Fix model docstrings ( #1764 )
2023-11-23 23:04:44 -08:00
Simon Mo
5ffc0d13a2
Migrate linter from pylint to ruff ( #1665 )
2023-11-20 11:58:01 -08:00
ljss
e1054247ba
[Optimization] Implement fused add rmsnorm ( #1667 )
2023-11-18 18:18:02 -08:00
Zhuohan Li
7076fa1c9f
TP/quantization/weight loading refactor part 2 - Refactor quantized linear logic and extend quantization support to all models ( #1622 )
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Refactor the tensor parallelism, quantization, and weight-loading codes.
Summary of the new features enabled by this PR:
- **All models** are able to be quantized with AWQ and SqueezeLLM, and [soon GPTQ](https://github.com/vllm-project/vllm/pull/1580 ).
- Model loading code became much simpler.
- Support model parallelism for all MQA/GQA models when the number of key/value heads is smaller than the tensor parallel size.
2023-11-15 22:50:41 -08:00
Zhuohan Li
ba0bfd40e2
TP/quantization/weight loading refactor part 1 - Simplify parallel linear logic ( #1181 )
2023-10-02 15:36:09 -07:00
Antoni Baum
3302f0aef3
rope_theta and max_position_embeddings from config ( #1096 )
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Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: wnma3mz <wnma3mz@gmail.com>
2023-09-20 13:35:11 -07:00
Jasmond L
ab019eea75
Add Model Revision Support ( #1014 )
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Co-authored-by: Jasmond Loh <Jasmond.Loh@hotmail.com>
Co-authored-by: Zhuohan Li <zhuohan123@gmail.com>
2023-09-13 15:20:02 -07:00
Zhuohan Li
c957c741d9
Enable safetensors loading for all models ( #974 )
2023-09-07 15:49:52 -07:00
Zhuohan Li
002800f081
Align vLLM's beam search implementation with HF generate ( #857 )
2023-09-04 17:29:42 -07:00
JFDuan
0d93f15694
Accelerate LLaMA model loading ( #234 )
2023-08-30 01:00:13 -07:00
Song
64f23c2900
fix baichuan for different position embedding for 7b and 13b models ( #643 )
2023-08-01 22:22:51 -07:00
Qing
d4c7755ca8
fix biachuan-7b tp ( #598 )
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Co-authored-by: wq.chu <wq.chu@tianrang-inc.com>
2023-08-01 15:41:36 -07:00
codethazine
20b0d88d16
Add support for baichuan ( #365 )
2023-07-17 13:50:55 -07:00
