Antoni Baum
69e1d2fb69
[Core] Refactor model loading code ( #4097 )
2024-04-16 11:34:39 -07:00
youkaichao
63e7176f26
[Core][Refactor] move parallel_utils into vllm/distributed ( #3950 )
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[WIP][Core][Refactor] move vllm/model_executor/parallel_utils into vllm/distributed and vllm/device_communicators (#3950 )
2024-04-10 15:33:30 -07:00
Jee Li and Antoni Baum
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
SangBin Cho
01bfb22b41
[CI] Try introducing isort. ( #3495 )
2024-03-25 07:59:47 -07:00
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
Woosuk Kwon
2daf23ab0c
Separate attention backends ( #3005 )
2024-03-07 01:45:50 -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
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
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
a7b3e33078
[Fix] Fix RoPE in ChatGLM-32K ( #1841 )
2023-11-29 13:01:19 -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
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
GoHomeToMacDonal
1a2bbc9301
ChatGLM Support ( #1261 )
2023-11-06 16:09:33 -08:00
Antoni Baum