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[VLM] Implement merged multimodal processor and V1 support for idefics3 #12509

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[VLM] Implement merged multimodal processor and V1 support for idefics3 #12509

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@Isotr0py Isotr0py commented Jan 28, 2025 •
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👋 Hi! Thank you for contributing to the vLLM project.
Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which starts running only a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of those by going to your fastcheck build on Buildkite UI (linked in the PR checks section) and unblock them. If you do not have permission to unblock, ping simon-mo or khluu to add you in our Buildkite org.

Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging.

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This was referenced Jan 28, 2025
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@DarkLight1337 DarkLight1337 self-assigned this Jan 28, 2025
rahul-tuli and others added 26 commits February 2, 2025 21:35
@rahul-tuli @Isotr0py
Fix: cases with empty sparsity config (vllm-project#12057)
14ecc2c 
Signed-off-by: Rahul Tuli <rahul@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@youngkent @Isotr0py
Type-fix: make execute_model output type optional (vllm-project#12020)
6719af2 
Signed-off-by: Isotr0py <2037008807@qq.com>
@wangxiyuan @MengqingCao @Isotr0py
[Platform] Do not raise error if _Backend is not found (vllm-project#…
caa741b 
…12023)

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: Mengqing Cao <cmq0113@163.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@RunningLeon @Isotr0py
[Model]: Support internlm3 (vllm-project#12037)
5765e18 
Signed-off-by: Isotr0py <2037008807@qq.com>
@zhouyuan @Isotr0py
Misc: allow to use proxy in HTTPConnection (vllm-project#12042)
4b7b8ab 
Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@kewang-xlnx @mgoin @Isotr0py
[Misc][Quark] Upstream Quark format to VLLM (vllm-project#10765)
f9205ee 
Signed-off-by: kewang-xlnx <kewang@xilinx.com>
Signed-off-by: kewang2 <kewang2@amd.com>
Co-authored-by: kewang2 <kewang2@amd.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@maang-h @Isotr0py
[Doc]: Update OpenAI-Compatible Server documents (vllm-project#12082)
efb6279 
Signed-off-by: Isotr0py <2037008807@qq.com>
@joerunde @Isotr0py
[Bugfix] use right truncation for non-generative tasks (vllm-project#…
fea636d 
…12050)

Signed-off-by: Joe Runde <Joseph.Runde@ibm.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@ywang96 @Isotr0py
[V1][Core] Autotune encoder cache budget (vllm-project#11895)
090d990 
Signed-off-by: Roger Wang <ywang@roblox.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@varun-sundar-rabindranath @Isotr0py
[Bugfix] Fix _get_lora_device for HQQ marlin (vllm-project#12090)
2c73b3b 
Signed-off-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
Co-authored-by: Varun Sundar Rabindranath <varun@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@tvirolai-amd @Isotr0py
Allow hip sources to be directly included when compiling for rocm. (v…
bd43c25 
…llm-project#12087)

Signed-off-by: Isotr0py <2037008807@qq.com>
@elfiegg @mgoin @Isotr0py
[Core] Default to using per_token quantization for fp8 when cutlass i…
e58e377 
…s supported. (vllm-project#8651)

Signed-off-by: mgoin <michael@neuralmagic.com>
Co-authored-by: Michael Goin <mgoin@redhat.com>
Co-authored-by: mgoin <michael@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@DarkLight1337 @Isotr0py
[Doc] Add documentation for specifying model architecture (vllm-proje…
670da95 
…ct#12105)

Signed-off-by: Isotr0py <2037008807@qq.com>
@mgoin @Isotr0py
Various cosmetic/comment fixes (vllm-project#12089)
409b228 
Signed-off-by: mgoin <michael@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@Isotr0py
[Bugfix] Remove hardcoded head_size=256 for Deepseek v2 and v3 (vll…
c993711 
…m-project#12067)

Signed-off-by: Isotr0py <2037008807@qq.com>
@youkaichao @Isotr0py
Support torchrun and SPMD-style offline inference (vllm-project#12071)
9376ed3 
Signed-off-by: youkaichao <youkaichao@gmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@youkaichao @Isotr0py
[core] LLM.collective_rpc interface and RLHF example (vllm-project#12084
f31ddb8 
)

Signed-off-by: youkaichao <youkaichao@gmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@ywang96 @Isotr0py
[Bugfix] Fix max image feature size for Llava-one-vision (vllm-projec…
49f6070 
…t#12104)

Signed-off-by: Roger Wang <ywang@roblox.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@varun-sundar-rabindranath @Isotr0py
[misc] Add LoRA kernel micro benchmarks (vllm-project#11579)
ba222b5 
Signed-off-by: Isotr0py <2037008807@qq.com>
@Isotr0py
[Model] Add support for deepseek-vl2-tiny model (vllm-project#12068)
2f54ca6 
Signed-off-by: Isotr0py <2037008807@qq.com>
@heheda12345 @Isotr0py
[Bugfix] Set enforce_eager automatically for mllama (vllm-project#12127)
fc867f9 
Signed-off-by: Chen Zhang <zhangch99@outlook.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@KuntaiDu @Isotr0py
[Bugfix] Fix a path bug in disaggregated prefill example script. (vll…
1d0af27 
…m-project#12121)

Signed-off-by: Kuntai Du <kuntai@uchicago.edu>
Signed-off-by: Isotr0py <2037008807@qq.com>
@jikunshang @Isotr0py
[CI]add genai-perf benchmark in nightly benchmark (vllm-project#10704)
75ca7e0 
Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@terrytangyuan @Isotr0py
[Doc] Add instructions on using Podman when SELinux is active (vllm-p…
1dc7443 
…roject#12136)

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@terrytangyuan @Isotr0py
[Bugfix] Fix issues in CPU build Dockerfile (vllm-project#12135)
c2d3a00 
Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@heheda12345 @Isotr0py
[BugFix] add more is not None check in VllmConfig.__post_init__ (vl…
c0055d1 
…lm-project#12138)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
xpbowler and others added 19 commits February 2, 2025 21:35
@xpbowler @Isotr0py
[Feature] Fix guided decoding blocking bitmask memcpy (vllm-project#1…
df7ab19 
…2563)

**[Guided decoding performance optimization]** Sending the guided
decoding bitmask in xgrammar to the GPU
(`self.token_bitmask.to(scores.device)`) is a blocking operation that
prevents the CPU from pre-launching the sampler kernels. The CPU waits
until decode is complete, then copies the bitmask over. This PR changes
the operation to async via setting `non-blocking=True`.

(Current) The CPU is blocked on a `cudaStreamSynchronize` and only
pre-empts the sampling kernels after bitmask application. Below is the
Nsys profile for one decode phase from Llama 3.1 8B.

![image](https://github.com/user-attachments/assets/8997eae1-b822-4f52-beb8-ef19a7c6b824)

With the optimization, this is no longer the case:

![image](https://github.com/user-attachments/assets/6d5ea83f-f169-4f98-a8c1-41c719b3e1e7)

---------

Signed-off-by: Ryan N <ryan.nguyen@centml.ai>
Signed-off-by: Isotr0py <2037008807@qq.com>
@hmellor @Isotr0py
[Doc] Improve installation signposting (vllm-project#12575)
80db3ba 
- Make device tab names more explicit
- Add comprehensive list of devices to
https://docs.vllm.ai/en/latest/getting_started/installation/index.html
- Add `attention` blocks to the intro of all devices that don't have
pre-built wheels/images

---------

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@brian-dellabetta @mgoin @Isotr0py
[Doc] int4 w4a16 example (vllm-project#12585)
111a372 
Based on a request by @mgoin , with @kylesayrs we have added an example
doc for int4 w4a16 quantization, following the pre-existing int8 w8a8
quantization example and the example available in
[`llm-compressor`](https://github.com/vllm-project/llm-compressor/blob/main/examples/quantization_w4a16/llama3_example.py)

FIX #n/a (no issue created)

@kylesayrs and I have discussed a couple additional improvements for the
quantization docs. We will revisit at a later date, possibly including:
- A section for "choosing the correct quantization scheme/ compression
technique"
- Additional vision or audio calibration datasets

---------

Signed-off-by: Brian Dellabetta <bdellabe@redhat.com>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@robertgshaw2-redhat @Isotr0py
[V1] Bugfix: Validate Model Input Length (vllm-project#12600)
66453e2 
SUMMARY:
* avoid crashing the engine when we get an input longer than
max_model_len

FIX vllm-project#12567(*link existing issues this PR will resolve*)

Signed-off-by: Isotr0py <2037008807@qq.com>
@sleepwalker2017 @jeejeelee @Isotr0py
[BugFix] fix wrong output when using lora and num_scheduler_steps=8 (v…
f91599c 
…llm-project#11161)

FIX issue vllm-project#9688
vllm-project#11086 vllm-project#12487

---------

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>
Co-authored-by: weilong.yu <weilong.yu@shopee.com>
Co-authored-by: Jee Jee Li <pandaleefree@gmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@eldarkurtic @Isotr0py
Fix target matching for fused layers with compressed-tensors (vllm-pr…
1ea2088 
…oject#12617)

Without this PR
---------------
Quantizing models with llm-compressor and a recipe that explicitly lists
names of layers produces a model that is not loadable by vLLM (i.e.
`vllm serve <model>` fails with `raise ValueError(f"Unable to find
matching target for {module} in the ...`).

Example recipe:
```
recipe = """
quantization_stage:
  run_type: oneshot
  quantization_modifiers:
    GPTQModifier:
      ignore: ["lm_head"]
      config_groups:
        group_0:
          weights:
            num_bits: 4
            type: "int"
            symmetric: true
            strategy: "group"
            group_size: 128
          targets: [
            "model.layers.0.mlp.down_proj",
            "model.layers.2.mlp.down_proj",
            "model.layers.3.mlp.down_proj",
            "model.layers.4.mlp.down_proj",
            "model.layers.5.mlp.down_proj",
            "model.layers.6.mlp.down_proj",
            "model.layers.7.mlp.down_proj",
            "model.layers.8.mlp.down_proj",
            "model.layers.9.mlp.down_proj",
            "model.layers.10.mlp.down_proj",
            "model.layers.11.mlp.down_proj",
            "model.layers.12.mlp.down_proj",
            "model.layers.13.mlp.down_proj",
            "model.layers.14.mlp.down_proj",
            "model.layers.15.mlp.down_proj",
            "model.layers.16.mlp.down_proj",
            "model.layers.17.mlp.down_proj",
            "model.layers.19.mlp.down_proj",
            "model.layers.21.mlp.down_proj",
            "model.layers.22.mlp.down_proj",
            .
            .
            .
          ]
"""
```

To reproduce the vLLM error:
```bash
vllm serve nm-testing/eldar-test
```

With this PR
------------
Models are loaded correctly without any errors.

Signed-off-by: Isotr0py <2037008807@qq.com>
@khluu @Isotr0py
[ci] Upgrade transformers to 4.48.2 in CI dependencies (vllm-project#…
92c7b86 
…12599)

Signed-off-by: Isotr0py <2037008807@qq.com>
@tlrmchlsmth @Isotr0py
[Bugfix/CI] Fixup benchmark_moe.py (vllm-project#12562)
269d8bf 
Fixes `is_marlin` not being passed into `get_default_config`

Also allow `--tensor-parallel-size` in addition to `-tp` and `--tp-size`

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@rahul-tuli @Isotr0py
Fix: Respect sparsity_config.ignore in Cutlass Integration (vllm-pr…
aaedaa5 
…oject#12517)

This PR addresses a bug in the Cutlass integration where the
`sparsity_config.ignore` list was not being respected. When only a
subset of modules were configured as Sparse24, the system incorrectly
selected Cutlass for non-sparse modules as well. This update ensures the
correct scheme is selected for non-sparse modules, fixing this behavior.

---

### Changes

- Updated logic to correctly respect `sparsity_config.ignore`.
- Ensured non-sparse modules use the appropriate scheme instead of
defaulting to Cutlass.

---

<details>
<summary>Testing Setup</summary>

The fix has been tested on top of [this
diff](vllm-project#12097).

#### Steps to Test:
```bash
git checkout -b my-test-branch origin/rahul-bitmask-additions # compressed Cutlass support
git revert --no-edit aa2cd2c # revert Tyler's commit to turn off Cutlass for W16A16
git cherry-pick ca624cd # this branch
```

#### Additional Patch Required:
```diff
diff --git a/vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py b/vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
index a54177c1c..f916dd0c9 100644
--- a/vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
+++ b/vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
@@ -9,7 +9,7 @@ from compressed_tensors.quantization import (QuantizationArgs,
                                              QuantizationStrategy,
                                              QuantizationType)
 from pydantic import BaseModel
-
+from vllm.logger import init_logger
 from vllm.model_executor.layers.fused_moe import FusedMoE
 from vllm.model_executor.layers.linear import (LinearBase, LinearMethodBase,
                                                UnquantizedLinearMethod)
@@ -27,7 +27,7 @@ from vllm.model_executor.layers.quantization.compressed_tensors.utils import (
     should_ignore_layer)
 from vllm.model_executor.layers.quantization.kv_cache import BaseKVCacheMethod
 from vllm.platforms import current_platform
-
+logger = init_logger(__name__)
 __all__ = ["CompressedTensorsLinearMethod"]

 SPARSITY_CONFIG_NAME: Literal["sparsity_config"] = "sparsity_config"
```

Apply using:
```bash
git apply logging-patch.patch
```

</details>

---

<details>
<summary>Models Tested</summary>

- `nm-testing/TinyLlama-1.1B-Chat-v1.0-gsm8k-partial-24`
- `nm-testing/TinyLlama-1.1B-Chat-v1.0-gsm8k-full-sparse24`
-
`nm-testing/TinyLlama-1.1B-Chat-v1.0-gsm8k-partial-24-entire-fp8-compressed`
-
`nm-testing/TinyLlama-1.1B-Chat-v1.0-gsm8k-partial-24-remaining-fp8-compressed`

</details>

---

<details>
<summary>Example Output</summary>

#### Layers 0-5 (Sparse24)
```
Using scheme: CompressedTensors24 for model.layers.0.self_attn.qkv_proj
Using scheme: CompressedTensors24 for model.layers.0.self_attn.o_proj
Using scheme: CompressedTensors24 for model.layers.0.mlp.gate_up_proj
Using scheme: CompressedTensors24 for model.layers.0.mlp.down_proj
...
```

#### Layers 6+ (Non-Sparse, FP8)
```
Using scheme: CompressedTensorsW8A8Fp8 for model.layers.6.self_attn.qkv_proj
Using scheme: CompressedTensorsW8A8Fp8 for model.layers.6.self_attn.o_proj
Using scheme: CompressedTensorsW8A8Fp8 for model.layers.6.mlp.gate_up_proj
Using scheme: CompressedTensorsW8A8Fp8 for model.layers.6.mlp.down_proj
...
```

</details>

**Note:** Assumed all modules in fused layers such as `QKV_proj` and
`Gate_up_proj` follow the same quantization/pruning scheme.

---

For related tasks using the Asana app for GitHub, refer to [[this
link](https://app.asana.com/0/0/1209227810815160)](https://app.asana.com/0/0/1209227810815160).

Signed-off-by: Rahul Tuli <rahul@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@LucasWilkinson @WoosukKwon
@simon-mo @mgoin @zhuohan123 @tlrmchlsmth @alexm-redhat @Isotr0py
[Attention] Deepseek v3 MLA support with FP8 compute (vllm-project#12601
c22f65d 
)

This PR implements the Deepseek V3 support by performing matrix absorption the fp8 weights

---------

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Co-authored-by: simon-mo <simon.mo@hey.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Zhuohan Li <zhuohan123@gmail.com>
Co-authored-by: Tyler Michael Smith <tysmith@redhat.com>
Co-authored-by: Alexander Matveev <59768536+alexm-neuralmagic@users.noreply.github.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@russellb @Isotr0py
[CI/Build] Add label automation for structured-output, speculative-de…
2a94150 
…coding, v1 (vllm-project#12280)

We have `v1`, `structured-output`, and `speculative-decoding` labels on
github. This adds automation for applying these labels based on the
files touched by a PR.

Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@simon-mo @mgoin @Isotr0py
Disable chunked prefill and/or prefix caching when MLA is enabled (vl…
9c9288f 
…lm-project#12642)

From @mgoin in vllm-project#12638

I cannot push to that branch, therefore a new PR to unblock release.

---------

Signed-off-by: mgoin <michael@neuralmagic.com>
Signed-off-by: simon-mo <simon.mo@hey.com>
Co-authored-by: mgoin <michael@neuralmagic.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@mgoin @Isotr0py
Apply torch.compile to fused_moe/grouped_topk (vllm-project#12637)
1b3dacb 
Signed-off-by: Isotr0py <2037008807@qq.com>
@vicenteherrera @Isotr0py
doc: fixing minor typo in readme.md (vllm-project#12643)
e309318 
Word "evolved" was mistyped

Signed-off-by: Vicente Herrera <vicenteherrera@vicenteherrera.com>

---------

Signed-off-by: Vicente Herrera <vicenteherrera@vicenteherrera.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@jinzhen-lin @Isotr0py
[Bugfix] fix moe_wna16 get_quant_method (vllm-project#12648)
a5d9e02 
Fix vllm-project#12647
The `get_quant_method` of `moe_wna16` always return moe method,
GPTQ-based linear method or AWQ-based linear method, even when the
target module is attention layer.

https://github.com/vllm-project/vllm/blob/baeded25699f9f4851843306f27f685c4d4ee7c5/vllm/attention/layer.py#L86-L92

Signed-off-by: Jinzhen Lin <linjinzhen@hotmail.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@russellb @Isotr0py
[Core] Silence unnecessary deprecation warnings (vllm-project#12620)
dc9491c 
I noticed during testing that I was getting a lot of these deprecation
warnings about `local_lora_path`:

```
DeprecationWarning: The 'lora_local_path' attribute is deprecated
     and will be removed in a future version.
     Please use 'lora_path' instead.
```

The check used for emitting this warning was always True, even when the
parameter was not actually specified. It will always be in
`__struct_fields__`. We should be checking for a non-None value,
instead.

Signed-off-by: Russell Bryant <rbryant@redhat.com>

Signed-off-by: Russell Bryant <rbryant@redhat.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@WoosukKwon @Isotr0py
[V1][Minor] Avoid frequently creating ConstantList (vllm-project#12653)
7a3ed70 
A small optimization to avoid creating a new `ConstantList` every time `request.kv_block_hashes` is used.

Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Signed-off-by: Isotr0py <2037008807@qq.com>
@ShawnD200 @Isotr0py
[Core][v1] Unify allocating slots in prefill and decode in KV cache m…
87b099b 
…anager (vllm-project#12608)

As mentioned in RFC vllm-project#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>
Signed-off-by: Isotr0py <2037008807@qq.com>
@jikunshang @Isotr0py
[Hardware][Intel GPU] add XPU bf16 support (vllm-project#12392)
b49a143 
Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
Signed-off-by: Isotr0py <2037008807@qq.com>
@Isotr0py Isotr0py mentioned this pull request Feb 2, 2025
Merged
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@Isotr0py
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Isotr0py commented Feb 2, 2025

oops, used wrong command to sign off for DCO by mistake, move to #12660 😅

@Isotr0py Isotr0py closed this Feb 2, 2025
@Isotr0py Isotr0py deleted the v1-idefics3 branch February 2, 2025 13:46
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ci/build documentation Improvements or additions to documentation frontend speculative-decoding structured-output v1
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