Commit Graph
19 Commits
Author SHA1 Message Date
Woosuk Kwon 105a40f53a [Minor] Fix false warning when TP=1 (#2674) 2024-01-30 14:39:40 -08:00
Philipp Moritz bbe9bd9684 [Minor] Fix a small typo (#2672) 2024-01-30 13:40:37 -08:00
Hanzhi Zhou 380170038e Implement custom all reduce kernels (#2192) 2024-01-27 12:46:35 -08:00
9b945daaf1 [Experimental] Add multi-LoRA support (#1804)
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
Cade Daniel 18bfcdd05c [Speculative decoding 2/9] Multi-step worker for draft model (#2424) 2024-01-21 16:31:47 -08:00
Junda Chen 5b23c3f26f Add group as an argument in broadcast ops (#2522) 2024-01-20 16:00:26 -08:00
Zhuohan Li ef9b636e2d Simplify broadcast logic for control messages (#2501) 2024-01-19 11:23:30 -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 c3372e87be Remove dependency on CuPy (#2152) 2023-12-17 01:49:07 -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
explainerauthors a1125ad4df Correct comments in parallel_state.py (#1818) 2023-11-28 10:19:35 -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
Zhuohan LiandYunmo Chen 9d9072a069 Implement prompt logprobs & Batched topk for computing logprobs (#1328)
Co-authored-by: Yunmo Chen <16273544+wanmok@users.noreply.github.com>
2023-10-16 10:56:50 -07:00
Zhuohan Li ba0bfd40e2 TP/quantization/weight loading refactor part 1 - Simplify parallel linear logic (#1181) 2023-10-02 15:36:09 -07:00
Zhuohan Li 90979c38f8 [FIX] Don't initialize parameter by default (#1067) 2023-09-17 17:15:38 -07:00
e3e79e9e8a Implement AWQ quantization support for LLaMA (#1032)
Co-authored-by: Robert Irvine <robert@seamlessml.com>
Co-authored-by: root <rirv938@gmail.com>
Co-authored-by: Casper <casperbh.96@gmail.com>
Co-authored-by: julian-q <julianhquevedo@gmail.com>
2023-09-16 00:03:37 -07:00
Zhuohan Li 1b0bd0fe8a Add Falcon support (new) (#592) 2023-08-02 14:04:39 -07:00
MoeedDar 2d867b55fa fixed tensor parallel is not defined (#564) 2023-07-25 14:16:51 -07:00
Woosuk Kwon 0b98ba15c7 Change the name to vLLM (#150) 2023-06-17 03:07:40 -07:00