Commit Graph
44 Commits
Author SHA1 Message Date
Jee Jee Li 382b6a4852 [Misc] Avoid misleading warning messages (#10438)
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
2024-11-19 08:54:58 +00:00
B-201 5be4e52b65 [Model][LoRA]LoRA support added for glm-4v (#10418)
Signed-off-by: B-201 <Joy25810@foxmail.com>
2024-11-18 12:57:10 +00:00
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
youkaichao 504ac53d18 [misc] error early for old-style class (#10304)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2024-11-13 18:55:39 -08:00
Cyrus Leung 0b8bb86bf1 [1/N] Initial prototype for multi-modal processor (#10044)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
2024-11-13 12:39:03 +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
Cyrus Leung e0191a95d8 [0/N] Rename MultiModalInputs to MultiModalKwargs (#10040)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
2024-11-09 11:31:02 +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
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
zifeitong 43300bd98a [Bugfix] Properly propagate trust_remote_code settings (#10047)
Signed-off-by: Zifei Tong <zifeitong@gmail.com>
2024-11-05 16:34:40 -08:00
youkaichao 74b529ceee [bugfix] fix chatglm dummy_data_for_glmv (#9955)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2024-11-02 08:03:33 -07:00
Cyrus Leung 836e8ef6ee [Bugfix] Fix PP for ChatGLM and Molmo (#9422) 2024-10-24 06:12:05 +00:00
Cyrus Leung cee711fdbb [Core] Rename input data types (#8688) 2024-10-16 10:49:37 +00:00
sixgod 6cf1167c1a [Model] Add GLM-4v support and meet vllm==0.6.2 (#9242) 2024-10-11 17:36:13 +00:00
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
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
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
Cyrus Leung 98cf2ed678 [Model][Bugfix] Implicit model flags and reenable Phi-3-Vision (#5896) 2024-06-27 09:08:10 -07:00
Cyrus Leung 96354d6a29 [Model] Add base class for LoRA-supported models (#5018) 2024-06-27 16:03:04 +08:00
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
SangBin Cho 2e9a2227ec [Lora] Support long context lora (#4787)
Currently we need to call rotary embedding kernel for each LoRA, which makes it hard to serve multiple long context length LoRA. Add batched rotary embedding kernel and pipe it through.

It replaces the rotary embedding layer to the one that is aware of multiple cos-sin-cache per scaling factors.

Follow up of https://github.com/vllm-project/vllm/pull/3095/files
2024-05-18 16:05:23 +09:00
Woosuk Kwon 0fca3cdcf2 [Misc] Enhance attention selector (#4751) 2024-05-13 10:47:25 -07:00
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
Jee LiandAntoni Baum 8af890a865 Enable more models to inference based on LoRA (#3382)
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)
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)
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