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Merged
merged 12 commits into from
Apr 24, 2025
Merged

Molmo Requirements #17026

merged 12 commits into from
Apr 24, 2025

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Eyshika
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@Eyshika Eyshika commented Apr 23, 2025

Add Molmo-specific requirements file for stable accuracy on different architectures.
Without these requirements user installs latest libs which doesnt provide same accuracy as it would on required libs.

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@mergify mergify bot added the ci/build label Apr 23, 2025
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Could you elaborate on the accuracy problem? We should try to fix it rather than lock an old version....

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Eyshika commented Apr 23, 2025

Could you elaborate on the accuracy problem? We should try to fix it rather than lock an old version....

We ran MOLMO 7B on A10 and L40 with python3.10 in A10 and python3.11 on L40, which installed its versions, but A10 results were more accurate than L40 results. Once I switched the versions used in A10, turns out Molmo wasnt realible to give as accurate results using latest torch vllm and other libs. This is also relevant to how MOLMO is trained.
So until, we have similar results on different architecture for latest libs, I would sugges to document the versions, so users dont get confused!

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In that case, can you add a note to the Supported Models page to direct users to install this requirements file (noting that it uses an older vLLM version)? And probably also open a PR to the model repo on HF Hub to raise the issue.

@mergify mergify bot added the documentation Improvements or additions to documentation label Apr 23, 2025
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Eyshika commented Apr 23, 2025

In that case, can you add a note to the Supported Models page to direct users to install this requirements file (noting that it uses an older vLLM version)? And probably also open a PR to the model repo on HF Hub to raise the issue.

Just updated supported_models.md. i will also create an issue at HF too

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Can you satisfy the DCO check as well by signing off your commits?

@Eyshika Eyshika force-pushed the molmo-requirements branch 2 times, most recently from 082724c to 8da735d Compare April 23, 2025 05:11
@Eyshika Eyshika force-pushed the molmo-requirements branch 2 times, most recently from 4dbba30 to ac9da36 Compare April 23, 2025 05:19
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Eyshika commented Apr 23, 2025

Can you satisfy the DCO check as well by signing off your commits?

Done

@Eyshika Eyshika force-pushed the molmo-requirements branch from ac9da36 to 38ea3a2 Compare April 23, 2025 05:28
@Eyshika Eyshika force-pushed the molmo-requirements branch from 38ea3a2 to a8052af Compare April 23, 2025 05:33
Signed-off-by: Eyshika Agarwal <[email protected]>
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Eyshika commented Apr 23, 2025

Can you satisfy the DCO check as well by signing off your commits?

Ready now!

Signed-off-by: Eyshika Agarwal <[email protected]>
@Eyshika Eyshika force-pushed the molmo-requirements branch from b46617d to c1c584d Compare April 23, 2025 06:24
Eyshika added 2 commits April 23, 2025 01:25
Signed-off-by: Eyshika Agarwal <[email protected]>
Signed-off-by: eyshika <[email protected]>
Signed-off-by: Eyshika Agarwal <[email protected]>
Signed-off-by: eyshika <[email protected]>
@Eyshika Eyshika force-pushed the molmo-requirements branch from c1c584d to 1b117fa Compare April 23, 2025 06:26
Eyshika added 2 commits April 23, 2025 14:26
Signed-off-by: eyshika <[email protected]>
Signed-off-by: eyshika <[email protected]>
@Eyshika Eyshika requested a review from DarkLight1337 April 23, 2025 19:51
Signed-off-by: eyshika <[email protected]>
Eyshika added 2 commits April 24, 2025 01:31
Signed-off-by: eyshika <[email protected]>
Signed-off-by: eyshika <[email protected]>
Signed-off-by: eyshika <[email protected]>
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Thanks for bearing with me. LGTM now!

@DarkLight1337 DarkLight1337 enabled auto-merge (squash) April 24, 2025 16:28
@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Apr 24, 2025
@vllm-bot vllm-bot merged commit 47bdee4 into vllm-project:main Apr 24, 2025
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@Eyshika Eyshika deleted the molmo-requirements branch April 24, 2025 17:59
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This PR has generated a bunch of security errors in my security dashboard for vLLM because it depends on versions with known security vulnerabilities. I suggest that this be reverted and instead work on improving the current code.

russellb added a commit to russellb/vllm that referenced this pull request Apr 25, 2025
This reverts commit 47bdee4.

This PR introduced a requirements file pinning versions of vllm and
dependencies to ones that have known security vulnerabilties. This set
off a bunch of warnings in my security dashboard for vllm. We should not
have any recommendations for installing vulnerable versions, so I
suggest this be reverted.

Signed-off-by: Russell Bryant <[email protected]>
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#17189

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I have opened another PR that doesn't revert this one completely but should avoid the security flags you've mentioned: #17190

gshtras added a commit to ROCm/vllm that referenced this pull request Apr 25, 2025
* [BugFix] Remove default multiproc executor `collective_rpc` timeout (vllm-project#17000)

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* [Core][V1][TPU] Enable structured decoding on TPU V1 (vllm-project#16499)

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* [Bugfix] validate urls object for multimodal content parts (vllm-project#16990)

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* add Dockerfile build vllm against torch nightly (vllm-project#16936)

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* [V1][DP] More robust DP/EP dummy request coordination (vllm-project#16277)

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* [BugFix] Revert ROCm Custom Paged Attention Env Flag Check (vllm-project#17022)

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* [doc] add download path tips (vllm-project#17013)

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* [Bugfix] Triton FA function takes no keyword arguments (vllm-project#16902)

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* [V1] Avoid socket errors during shutdown when requests are in in-flight (vllm-project#16807)

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* [BugFix] llama4 fa3 fix - RuntimeError: scheduler_metadata must have shape (metadata_size) (vllm-project#16998)

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* [Misc] Improve readability of get_open_port function. (vllm-project#17024)

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* [Bugfix] Fix AssertionError: skip_special_tokens=False is not supported for Mistral tokenizers (vllm-project#16964)

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* [CI] Run v1/test_serial_utils.py in CI (vllm-project#16996)

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* [Doc] Add top anchor and a note to quantization/bitblas.md (vllm-project#17042)

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* Ensure that `pid` passed to `kill_process_tree` is `int` for `mypy` (vllm-project#17051)

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* [CI] Update structured-output label automation (vllm-project#17055)

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* Improve Transformers backend model loading QoL (vllm-project#17039)

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* `CacheConfig.block_size` should always be `int` when used (vllm-project#17052)

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* Use `@property` and private field for `data_parallel_rank_local` (vllm-project#17053)

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* [Frontend] Support guidance:no-additional-properties for compatibility with xgrammar (vllm-project#15949)

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* [BugFix][V1] Fix int32 token index overflow when preparing input ids (vllm-project#16806)

* [V1][Spec Decode] Always use argmax for sampling draft tokens  (vllm-project#16899)

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* [CI/Build] workaround for CI build failure (vllm-project#17070)

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* [Quantization]add prefix for commandA quantized model (vllm-project#17017)

* [Minor] Use larger batch sizes for A100/B100/B200/MI300x (vllm-project#17073)

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* [Bugfix] Enable V1 usage stats (vllm-project#16986)

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* More informative error when using Transformers backend (vllm-project#16988)

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* Addendum Fix to support FIPS enabled machines with MD5 hashing (vllm-project#17043)

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* [Bugfix][Core] add seq_id_to_seq_group clearing to avoid memory leak when s… (vllm-project#16472)

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* [V1] Update structured output (vllm-project#16812)

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* [doc] update to hyperlink (vllm-project#17096)

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* Add docs for runai_streamer_sharded (vllm-project#17093)

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* Fix OOT registration test (vllm-project#17099)

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* [V1][PP] Optimization: continue scheduling prefill chunks (vllm-project#17080)

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* [Misc] Remove OLMo2 config copy (vllm-project#17066)

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* [Frontend] Using matryoshka_dimensions control the allowed output dimensions. (vllm-project#16970)

* Add missing rocm_skinny_gemms kernel test to CI (vllm-project#17060)

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* [Misc] refactor example series - structured outputs (vllm-project#17040)

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* [V1][Spec Decoding] Add num_drafts and num_accepted_tokens_per_position metrics (vllm-project#16665)

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* [CI] Add automation for the `tool-calling` github label (vllm-project#17118)

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* Updating builkite job for IBM Power  (vllm-project#17111)

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* existing torch installation pip command fix for docs (vllm-project#17059)

* Molmo Requirements (vllm-project#17026)

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* Add `:markdownhelp:` to `EngineArgs` docs so markdown docstrings render properly (vllm-project#17124)

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* Improve configs - `LoRAConfig` + `PromptAdapterConfig` (vllm-project#16980)

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* [Docs] Generate correct github links for decorated functions (vllm-project#17125)

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* Add collective_rpc to llm engine (vllm-project#16999)

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* Add chat template for Llama 4 models (vllm-project#16428)

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* [Misc] Add example to run DeepSeek with Ray Serve LLM (vllm-project#17134)

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* Better error message for missing mistral params.json (vllm-project#17132)

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* Use custom address for listening socket (vllm-project#15988)

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* [FEAT] [ROCm]: AITER Fused MOE V1 Support (vllm-project#16752)

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* [Attention] FA3 decode perf improvement - single mma warp group support for head dim 128 (vllm-project#16864)

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* fix float16 support for kimi-vl (vllm-project#17156)

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* [Doc] V1 : Update LoRA status (vllm-project#17133)

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* [Docs] Fix True->true in supported_models.md (vllm-project#17141)

* Move missed `SchedulerConfig` args into scheduler config group in `EngineArgs` (vllm-project#17131)

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* [Misc] Clean up redundant code in uniproc_executor.py (vllm-project#16762)

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* [Bugfix][Misc] Use TritonPlaceholderModule to defensively import triton (vllm-project#15099)

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* [Misc] Benchmark Serving Script Support Appending Results (vllm-project#17028)

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* [Perf]Optimize rotary_emb implementation to use Triton operator for improved inference performance (vllm-project#16457)

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* [Bugfix] remove fallback in guided_json (int range, patterns) (vllm-project#16725)

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* [Quantization][FP8] Add support for FP8 models with input_scale for output projection and QK quantization (vllm-project#15734)

Signed-off-by: Randall Smith <[email protected]>
Signed-off-by: Luka Govedič <[email protected]>
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* [Doc] Add headings to improve gptqmodel.md (vllm-project#17164)

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* Only turn on FastIncrementalDetokenizer when tokenizers >= 0.21.1 (vllm-project#17158)

* [Doc] Add two links to disagg_prefill.md (vllm-project#17168)

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* [Doc] Move todo out of beam search docstring (vllm-project#17183)

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* [Bugfix] Fix mistral model tests (vllm-project#17181)

Signed-off-by: DarkLight1337 <[email protected]>

* [Bugfix] Fix Mistral ChatCompletionRequest Body Exception (vllm-project#16769)

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* Fix API typo and remove FP8 on V1 restriction

---------

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Co-authored-by: Luka Govedič <[email protected]>
Co-authored-by: Lu Fang <[email protected]>
Co-authored-by: Alex Brooks <[email protected]>
Co-authored-by: Cyrus Leung <[email protected]>
Co-authored-by: Jasmond L <[email protected]>
jikunshang pushed a commit to jikunshang/vllm that referenced this pull request Apr 29, 2025
Signed-off-by: Eyshika Agarwal <[email protected]>
Signed-off-by: eyshika <[email protected]>
lk-chen pushed a commit to lk-chen/vllm that referenced this pull request Apr 29, 2025
Signed-off-by: Eyshika Agarwal <[email protected]>
Signed-off-by: eyshika <[email protected]>
adobrzyn pushed a commit to HabanaAI/vllm-fork that referenced this pull request Apr 30, 2025
Signed-off-by: Eyshika Agarwal <[email protected]>
Signed-off-by: eyshika <[email protected]>
Signed-off-by: Agata Dobrzyniewicz <[email protected]>
RichardoMrMu pushed a commit to RichardoMrMu/vllm that referenced this pull request May 12, 2025
Signed-off-by: Eyshika Agarwal <[email protected]>
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minpeter pushed a commit to minpeter/vllm that referenced this pull request Jun 24, 2025
Signed-off-by: Eyshika Agarwal <[email protected]>
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