Commit Graph

1350 Commits

Author SHA1 Message Date
e92694b6fe [Neuron][Kernel] Support Longer Sequences in NKI-based Flash PagedAttention and Improve Efficiency (#12921)
Signed-off-by: Lingfan Yu <lingfany@amazon.com>
2025-02-11 21:12:37 -08:00
974dfd4971 [Model] IBM/NASA Prithvi Geospatial model (#12830) 2025-02-11 20:34:30 -08:00
3ee696a63d [RFC][vllm-API] Support tokenizer registry for customized tokenizer in vLLM (#12518)
Signed-off-by: Keyun Tong <tongkeyun@gmail.com>
2025-02-12 12:25:58 +08:00
6c4dbe23eb [BugFix] Pop instead of del CUDA_VISIBLE_DEVICES (#12962)
Signed-off-by: Hollow Man <hollowman@opensuse.org>
2025-02-12 00:21:50 +08:00
75e6e14516 [V1][Metrics] Add several request timing histograms (#12644)
Signed-off-by: Mark McLoughlin <markmc@redhat.com>
2025-02-11 10:14:00 -05:00
110f59a33e [Bugfix] fix flaky test (#13089)
Signed-off-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
2025-02-11 14:41:20 +00:00
41c5dd45b9 [V1][Metrics] Add GPU prefix cache hit rate % gauge (#12592) 2025-02-11 08:27:25 +00:00
fc6485d277 [Bugfix]: Reasoning output bug according to the chat template change (#13025)
Signed-off-by: Ce Gao <cegao@tensorchord.ai>
2025-02-11 15:49:03 +08:00
78a141d768 [Misc] LoRA - Refactor Punica ops tests (#12970)
Signed-off-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
2025-02-11 07:26:03 +00:00
cb080f32e3 [Bugfix] Support missing tool parameters in mistral tokenizer (#12884)
Signed-off-by: Florian Greinacher <florian.greinacher@siemens.com>
2025-02-11 03:33:33 +00:00
08b2d845d6 [Model] Ultravox Model: Support v0.5 Release (#12912)
Signed-off-by: Farzad Abdolhosseini <farzad@fixie.ai>
2025-02-10 22:02:48 +00:00
2ae889052c Fix seed parameter behavior in vLLM (#13007)
Signed-off-by: மனோஜ்குமார் பழனிச்சாமி <smartmanoj42857@gmail.com>
2025-02-10 23:26:50 +08:00
51f0b5f7f6 [Bugfix] Clean up and fix multi-modal processors (#13012)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
2025-02-10 10:45:21 +00:00
b2496bb07f [core] fix sleep mode and pytorch checkpoint compatibility (#13001)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-10 13:03:43 +08:00
59fff4a01a [core] improve error handling when wake up from sleep mode (#12981)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-10 09:38:57 +08:00
cf797aa856 [core] port pynvml into vllm codebase (#12963)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-09 15:00:00 +08:00
86222a3dab [VLM] Merged multi-modal processor for GLM4V (#12449)
Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
2025-02-08 20:32:16 +00:00
91dd8f7aa6 [bugfix] respect distributed_executor_backend in world_size=1 (#12934)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-08 16:17:08 +08:00
3243158336 [V1] Move KV block hashes from Request to KVCacheManager (#12922)
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
2025-02-07 19:14:10 -08:00
eaa92d4437 [ROCm] [Feature] [Doc] [Dockerfile] [BugFix] Support Per-Token-Activation Per-Channel-Weight FP8 Quantization Inferencing (#12501) 2025-02-07 08:13:43 -08:00
0630d4537a [V1] Logprobs and prompt logprobs support (#9880)
This PR is adding support for sample logprobs & prompt logprobs to vLLM v1.

New behavior:

- During model execution, model runner computes sample logprobs (if user-provided logprobs setting is not None) and prompt logprobs (if user-provided prompt_logprobs setting is not None). For both sample and prompt logprobs, the engine core returns 3 vectors: token ids, token logprob values, token ranks. Ranks reflect tokens' 1-indexed positions in the vocabulary vector after sorting the vocabulary by log probability in descending order.
- In scheduler.update_from_output(), sample and prompt logprobs are incorporated into the EngineCoreOutput data structure which is transferred to the engine client. If multiprocessing is enabled, then sample and prompt logprobs will be (de)serialized when the EngineCoreOutput data structure is (de)serialized.
- During output processing, the LogprobsProcessor transforms the triplet of token ids, token logprobs values, and token ranks into the OpenAI-compatible List[Dict[token id,Logprob]] format (for sample and prompt logprobs respectively.)
- Each Logprob instance (whether sample- or prompt-) consists of a token's log-probability, rank, and detokenized string representation. Note that logprob detokenization is handled by the LogprobsProcessor not the detokenizer.

Signed-off-by: Andrew Feldman <afeldman@neuralmagic.com>
Signed-off-by: Nick Hill <nhill@redhat.com>
Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>


Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: Nick Hill <nhill@redhat.com>
2025-02-07 07:26:20 -08:00
ce26b16268 [Misc] Remove unnecessary detokenization in multimodal processing (#12868) 2025-02-07 06:21:17 -08:00
6e1fc61f0f Prevent unecessary requests to huggingface hub (#12837) 2025-02-06 21:37:41 -08:00
aff404571b Add Bamba Model (#10909)
Signed-off-by: Yu Chin Fabian Lim <flim@sg.ibm.com>
Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
2025-02-06 15:22:42 -08:00
467a96a541 [V1] LoRA Support (#10957)
Signed-off-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
2025-02-06 09:32:51 -08:00
09b95e36ab [torch.compile] PyTorch 2.6 and nightly compatibility (#12393)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-07 01:09:07 +08:00
85ac82d228 [Kernel] Make rotary_embedding ops more flexible with input shape (#12777) 2025-02-06 08:46:13 -08:00
7ca9934fe7 [Misc] Update w2 scale loading for GPTQMarlinMoE (#12757) 2025-02-06 01:02:14 -08:00
56534cd577 [Bugfix] Fix the test_ultravox.py's license (#12806)
Signed-off-by: Lu Fang <lufang@fb.com>
2025-02-06 13:25:54 +08:00
d88506dda4 [Model] LoRA Support for Ultravox model (#11253) 2025-02-05 19:54:13 -08:00
75404d041b [VLM] Update compatibility with transformers 4.49 2025-02-05 19:09:45 -08:00
bf3b79efb8 [VLM] Qwen2.5-VL 2025-02-05 13:31:38 -08:00
3b2005e1db Add: Support for Sparse24Bitmask Compressed Models 2025-02-05 13:30:43 -08:00
75e94309e8 [Perf] Mem align KV caches for CUDA devices (MLA perf improvement) (#12676)
Signed-off-by: simon-mo <xmo@berkeley.edu>
Signed-off-by: Lucas Wilkinson <lcwilkins@redhat.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Co-authored-by: simon-mo <xmo@berkeley.edu>
2025-02-04 18:22:24 -08:00
233df6f5c4 [V1][Metrics] Add request_success_total counter, labelled with finish reason (#12579)
Signed-off-by: Mark McLoughlin <markmc@redhat.com>
2025-02-04 19:46:54 -05:00
18016a5e62 [Bugfix] Fix CI failures for InternVL and Mantis models (#12728)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
2025-02-04 23:54:23 +08:00
815079de8e [VLM] merged multimodal processor and V1 support for idefics3 (#12660)
Signed-off-by: Isotr0py <2037008807@qq.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
2025-02-04 20:00:51 +08:00
18a88fcccc [V1] Remove scheduling constraint on partial requests (#12674)
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
2025-02-04 02:43:58 -08:00
d1ca7df84d [VLM] Merged multi-modal processor for InternVL-based models (#12553)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
Signed-off-by: Isotr0py <2037008807@qq.com>
Co-authored-by: Isotr0py <2037008807@qq.com>
2025-02-04 16:44:52 +08:00
c36ac98d01 [AMD][ROCm] Enable DeepSeek model on ROCm (#12662)
Signed-off-by: Hongxia Yang <hongxia.yang@amd.com>
Co-authored-by: Matthew Wong <Matthew.Wong2@amd.com>
2025-02-04 08:24:11 +00:00
bb392af434 [Doc] Replace ibm-fms with ibm-ai-platform (#12709)
Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com>
2025-02-04 07:05:04 +00:00
73b35cca7f [Core] Improve hash collision avoidance in prefix caching (#12621)
Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-03 16:28:20 -08:00
5095e96606 [V1] Revert uncache_blocks and support recaching full blocks (#12415)
Signed-off-by: Cody Yu <hao.yu.cody@gmail.com>
2025-02-03 15:04:53 -08:00
cf58b9c4ca [MISC] Remove model input dumping when exception (#12582)
Signed-off-by: Cody Yu <hao.yu.cody@gmail.com>
2025-02-03 13:34:16 -08:00
33e0602e59 [Misc] Fix improper placement of SPDX header in scripts (#12694)
Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-03 11:16:59 -08:00
a1a2aaadb9 [Model]: Add transformers backend support (#11330)
# Adds support for `transformers` as a backend

Following https://github.com/huggingface/transformers/pull/35235, a
bunch of models should already be supported, we are ramping up support
for more models.

Thanks @Isotr0py for the TP support, and @hmellor for his help as well!
This includes: 
- `trust_remote_code=True` support: any model on the hub, if it
implements attention the correct way can be natively supported!!
- tensor parallel support

---------

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
Co-authored-by: Isotr0py <41363108+Isotr0py@users.noreply.github.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Isotr0py <2037008807@qq.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn>
2025-02-03 21:30:38 +08:00
20579c0fae make sure mistral_common not imported for non-mistral models (#12669)
When people use deepseek models, they find that they need to solve cv2
version conflict, see https://zhuanlan.zhihu.com/p/21064432691 .

I added the check, and make all imports of `cv2` lazy.

---------

Signed-off-by: youkaichao <youkaichao@gmail.com>
2025-02-03 13:40:25 +08:00
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
f8ece6e17f [Core][v1] Unify allocating slots in prefill and decode in KV cache manager (#12608)
As mentioned in RFC https://github.com/vllm-project/vllm/issues/12254,
this PR achieves the task: combine allocate_slots and append_slots.

There should be no functionality change, except that in decode, also
raise exception when num_tokens is zero (like prefill), and change the
unit test case accordingly.

@comaniac @rickyyx @WoosukKwon @youkaichao @heheda12345 @simon-mo

---------

Signed-off-by: Shawn Du <shawnd200@outlook.com>
2025-02-02 16:40:58 +08:00
89003c4082 [v1][Bugfix] Add extra_keys to block_hash for prefix caching (#12603)
This pr adds extra key to block hash, to generate different hash value
for two blocks with the same token string but different extra_keys in
their parent blocks. For example, it can generate different hash value
for the second block of the following two requests:
```python
request1 = make_request(
        request_id=0,
        prompt_token_ids=[_ for _ in range(6)],
        mm_positions=[{
            "offset": 0,
            "length": 3
        }, {
            "offset": 3,
            "length": 3
        }],
        mm_hashes=["hash1", "hash2"],
    )
    request2 = make_request(
        request_id=1,
        prompt_token_ids=[_ for _ in range(6)],
        mm_positions=[{
            "offset": 0,
            "length": 3
        }, {
            "offset": 3,
            "length": 3
        }],
        mm_hashes=["hash3", "hash2"],
    )
```

---------

Signed-off-by: Chen Zhang <zhangch99@outlook.com>
2025-01-31 13:13:04 -08:00