Commit Graph
25 Commits
Author SHA1 Message Date
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)
[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
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
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
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)
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 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
Woosuk Kwon 8d17774f92 Add AWQ support for all models (#1714) 2023-11-18 17:56:47 -08:00
Zhuohan Li 7076fa1c9f TP/quantization/weight loading refactor part 2 - Refactor quantized linear logic and extend quantization support to all models (#1622)
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
lirui eb825c1e74 Fix #1474 - AssertionError:assert param_slice.shape == loaded_weight.shape (#1631) 2023-11-12 15:53:12 -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
3302f0aef3 rope_theta and max_position_embeddings from config (#1096)
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: wnma3mz <wnma3mz@gmail.com>
2023-09-20 13:35:11 -07:00
ab019eea75 Add Model Revision Support (#1014)
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
Woosuk Kwon 320a622ec4 [BugFix] Implement RoPE for GPT-J (#941) 2023-09-06 11:54:33 +09:00
Zhuohan Li 002800f081 Align vLLM's beam search implementation with HF generate (#857) 2023-09-04 17:29:42 -07:00
leegohi04517 1dde34e0f8 GPTJConfig has no attribute rotary. (#532) 2023-07-24 11:29:30 -07:00
Andre SlavescuandwoWoosuk Kwon c894836108 [Model] Add support for GPT-J (#226)
Co-authored-by: woWoosuk Kwon <woosuk.kwon@berkeley.edu>
2023-07-08 17:55:16 -07:00