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53 Commits
Author SHA1 Message Date
Harry Mellor 26d0419309 Update deprecated type hinting in models (#18132) 
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
 2025-05-14 22:06:50 -07:00
Woosuk Kwon b411418ff0 [Chore] Remove Sampler from Model Code (#17084) 
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
 2025-04-24 02:49:33 -07:00
rongfu.leng 5125d72f02 [Model] use AutoWeightsLoader for olmoe,opt,orion,persimmon,phi3_small (#16548) 
Signed-off-by: rongfu.leng <rongfu.leng@daocloud.io>
 2025-04-17 17:48:31 +00:00
rongfu.lengandGogs 56c76c2e0e [Bugfix] clean up duplicated code (#16485) 
Signed-off-by: Gogs <gogs@fake.local>
Co-authored-by: Gogs <gogs@fake.local>
 2025-04-11 23:19:40 +00:00
Tyler Michael Smith 4f5b059f14 Clean up unused padding_idx variables across many model definitions (#13240) 
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
 2025-03-04 21:27:00 +00:00
Harry Mellor cdc1fa12eb Remove unused kwargs from model definitions (#13555) 2025-02-24 17:13:52 -08:00
Russell Bryant e489ad7a21 [Misc] Add SPDX-License-Identifier headers to python source files (#12628) 
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
 2025-02-02 11:58:18 -08:00
Jee Jee Li a3a3ee4e6f [Misc] Merge bitsandbytes_stacked_params_mapping and packed_modules_mapping (#11924) 
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
 2025-01-15 07:49:49 +08:00
Jee Jee Li 15cc2a9f1a [Misc]Further reduce BNB static variable (#10597) 
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
 2024-11-26 22:54:12 -08:00
Isotr0py c4e464333e [Misc] Add uninitialized params tracking for AutoWeightsLoader (#10327) 
Signed-off-by: Isotr0py <2037008807@qq.com>
 2024-11-18 09:07:46 +08:00
Woosuk KwonandRoger Wang bbd3e86926 [V1] Support VLMs with fine-grained scheduling (#9871) 
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: Roger Wang <ywang@roblox.com>
 2024-11-13 04:53:13 +00:00
youkaichao f89d18ff74 [6/N] pass whole config to inner model (#10205) 
Signed-off-by: youkaichao <youkaichao@gmail.com>
 2024-11-11 06:41:46 +00:00
youkaichao 1a95f10ee7 [5/N] pass the whole config to model (#9983) 
Signed-off-by: youkaichao <youkaichao@gmail.com>
 2024-11-09 14:17:28 +08:00
Joe Runde d58268c56a [V1] Make v1 more testable (#9888) 
Signed-off-by: Joe Runde <Joseph.Runde@ibm.com>
 2024-11-06 11:57:35 -08:00
Michael Goin 399c798608 Remove ScaledActivation for AWQ (#10057) 
Signed-off-by: mgoin <michael@neuralmagic.com>
 2024-11-06 14:27:06 +00:00
Aaron Pham 21063c11c7 [CI/Build] drop support for Python 3.8 EOL (#8464) 
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
 2024-11-06 07:11:55 +00:00
Jee Jee Li fb2716d641 [Misc]Reduce BNB static variable (#9987) 
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
 2024-11-04 17:04:40 +00:00
Michael Goin bc73e9821c [Bugfix] Fix prefix strings for quantized VLMs (#9772) 2024-10-29 16:02:59 -07:00
Yongzaoandyoukaichao d27cfbf791 [torch.compile] Adding torch compile annotations to some models (#9641) 
Signed-off-by: youkaichao <youkaichao@gmail.com>
Co-authored-by: youkaichao <youkaichao@gmail.com>
 2024-10-24 09:31:42 -07:00
chenqianfzh 2f4117c38e support bitsandbytes quantization with more models (#9148) 2024-10-08 19:52:19 -06:00
Murali AndoorveeduandDarkLight1337 0f6d7a9a34 [Models] Add remaining model PP support (#7168) 
Signed-off-by: Muralidhar Andoorveedu <muralidhar.andoorveedu@centml.ai>
Signed-off-by: Murali Andoorveedu <muralidhar.andoorveedu@centml.ai>
Co-authored-by: DarkLight1337 <tlleungac@connect.ust.hk>
 2024-10-04 10:56:58 +08:00
Domen Vrešanddvres 2838d6b38e [Bugfix] Weight loading fix for OPT model (#9042) 
Co-authored-by: dvres <dvres@fri.uni-lj.si>
 2024-10-03 19:53:29 -04:00
afeldman-nm 428dd1445e [Core] Logprobs support in Multi-step (#7652) 2024-08-29 19:19:08 -07:00
Zijian Hu f4fc7337bf [Bugfix] support tie_word_embeddings for all models (#5724) 2024-08-19 20:00:04 -07:00
Cyrus Leung 7025b11d94 [Bugfix] Fix weight loading for Chameleon when TP>1 (#7410) 2024-08-13 05:33:41 +00:00
Cyrus Leungandywang96 1ad86acf17 [Model] Initial support for BLIP-2 (#5920) 
Co-authored-by: ywang96 <ywang@roblox.com>
 2024-07-27 11:53:07 +00:00
Qubitium-ModelCloudRobert ShawZX
 		ee93f4f92a [CORE] Quantized lm-head Framework (#4442) 
Co-authored-by: Robert Shaw <rshaw@neuralmagic.com>
Co-authored-by: ZX <zx@lbx.dev>
 2024-07-02 22:25:17 +00:00
Murali Andoorveedu c5832d2ae9 [Core] Pipeline Parallel Support (#4412) 
Signed-off-by: Muralidhar Andoorveedu <muralidhar.andoorveedu@centml.ai>
 2024-07-02 10:58:08 -07:00
Cody Yu a3a73ab069 [Misc] Load FP8 kv-cache scaling factors from checkpoints (#4893) 
The 2nd PR for #4532.

This PR supports loading FP8 kv-cache scaling factors from a FP8 checkpoint (with .kv_scale parameter).
 2024-05-22 13:28:20 -07:00
Woosuk Kwon 0fca3cdcf2 [Misc] Enhance attention selector (#4751) 2024-05-13 10:47:25 -07:00
Robert Shaw 4ea1f9678d [BugFix] Resolved Issues For LinearMethod --> QuantConfig (#4418) 2024-04-27 18:35:33 +00:00
Cody Yu a62aaf1df5 [Misc][Refactor] Generalize linear_method to be quant_method (#4373) 2024-04-26 16:41:14 -04:00
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
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
Woosuk KwonChen ShenAntoni Baum
 		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 b943890484 Fix OPT param names (#1819) 2023-11-28 11:22:44 -08:00
Woosuk Kwon 7c600440f7 Fix model docstrings (#1764) 2023-11-23 23:04:44 -08:00
Woosuk Kwon cf35d8f3d7 [BugFix] Fix TP support for AWQ (#1731) 2023-11-20 21:42:45 -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
Zhuohan Li ba0bfd40e2 TP/quantization/weight loading refactor part 1 - Simplify parallel linear logic (#1181) 2023-10-02 15:36:09 -07:00
Jasmond LJasmond LohZhuohan Li
 		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