Vllm sliding window 4 ROCM used to build PyTorch: N/A OS: Ubuntu 22. 0. py:723] Gemma 2 uses sliding window attention for every odd layer, which is currently not supported by vLLM. 8 ABI (see PEP 425 for more details about ABI), so they are compatible with Python 3. The architecture is Gemma2ForCausalLM which should be already supported. Reload to refresh your session. One can see the sizable improvement when a vertical stride of 16 is added, matching even the dense attention model, regardless of the very smaller window size. According to gugarosa from microsoft "sliding_window is not supported by the LongRoPE implementation according to the authors. py:715] Gemma 2 uses sliding window attention for every odd layer, which is currently not supported by vLLM. To support a model with interleaving sliding windows, we need to take care of the following details: Make sure this line evaluates has_interleaved_attention to True for this model, and set self. 5. Sliding Window Attention: Triton Flash Make sure this line evaluates has_interleaved_attention to True for this model, and set self. It has left_size, right_size. The full trace: INFO 02-13 06:16:19 model_runner. This model uses sliding window but `max_window_layers` = 28 is less than `num_hidden_layers` = 28. with a window size of 8k), so that the model can remain it's full capability in short context length and still have some long ICL ability (with the remaining full attention layers), making the memory vs long Aug 22, 2024 · utils. float32 to torch. MMLU ProIn the MMLU Pro test,different KV Jul 22, 2024 · vllm的秘密武器是什么？ 为了理解vllm如何实现降低延迟和优化系统总体性能的目标，我们应该了解vllm的瓶颈以及如何解决这个问题。 内存使用问题. e. 꽤 괜찮은 스펙으로 개발하고있다 Jul 22, 2024 · However, vLLM disables sliding window attention because FlashInfer doesn't support it, limiting the context length of gemma2 from 8k to 4k. For mistral, as you've done, you'll need to restrict the model to a context window of 4096 tokens to do this. This means that after 𝑁 layers, we will have an information flow in the order of 𝑊 × 𝑁. Default: 0--seed 🚀 The feature, motivation and pitch Thanks for fixing the soft-capping issue of the Gemma 2 models in the last release! I noticed there's still a comment and a warning when serving Gemma 2 models. Jun 19, 2024 · WARNING 06-20 00:34:55 init. 4 onwards supports model i… Sep 13, 2024 · Last Updated on 2024-09-13 by Clay. vLLM vLLMisafastandeasy-to-uselibraryforLLMinferenceandserving. I experimented with different input and output sequence lengths, expecting that for a fixed large output length (e. --num-lookahead-slots Nov 9, 2024 · NotImplementedError: Disabling sliding window is not supported for models with rope_scaling. Maintaining hash table is simpler than maintaining a tree. Default: False--num-lookahead-slots. This prompt is documented here, here, or here Jul 11, 2023 · +34% higher throughput? TLDR: Seeing vLLM has been really fascinating! @oleitersdorf and I investigated whether we could further accelerate vLLM by profiling its performance with GPU counters. Extensible to more advanced caching policy (the one above is just an example). 42. Notes Feb 5, 2024 · With a sliding window size 𝑊 = 3, every layer adds information about (𝑊 — 1) = 2 tokens. 禁用滑动窗口，将其限制为滑动窗口大小。--use-v2-block-manager. The config file specifies the transformers version to be 4. I was Jul 7, 2024 · WARNING 07-07 10:41:33 utils. 1-17) Clang version: Could not collect CMake version: version 3. , 8k), increasing the input sequence length would result in comparable overall latency. Here is the list of text generation models supported in vllm 0. This is also true for flash attention. You switched accounts on another tab or window. 4. WARNING 07-22 22:39:35 config. --num-lookahead-slots 0、背景最近在研究各种大语言模型，少不了 vLLM 的身影，这就学习一下~ （1）本系列文章 格瑞图：vLLM-0001-入门 01-安装1、入门 02-使用 ROCm 安装 - Installation with ROCmvLLM 0. 2以降のアップデートで、SWAは排除されています。 A high-throughput and memory-efficient inference and serving engine for LLMs - Interleaving sliding window for Ministral-8B-Instruct-2410 · vllm-project/vllm@1e10c28 Chayenne Zhao：小白视角：利用 SGL 来 Serve Embedding Model书接上文，今天起来后感谢合作者的点醒，大概发现了如何用 vllm 去 serve embedding model，并且成功利用 serve 了 gte-7b。 Jul 7, 2024 · (VLLM pid=1950315) WARNING 07-07 13:43:20 utils. g. Sliding Window Attention uses a fixed-size window w around each token in the sequence. Apr 29, 2024 · A quite straight forward way to mitigate this problem is to let a fraction of layers in the model use sliding window attention (e. My initial take on the design is to implement a SlidingWindowBlockTable that composes within it a BlockTable. vLLM 引擎# vLLM 是一个支持高并发的高性能大模型推理引擎。当满足以下条件时，Xinference 会自动选择 vllm 作为引擎来达到更高的吞吐量： 模型格式为 pytorch ， gptq 或者 awq 。 当模型格式为 pytorch 时，量化选项需为 none 。 当模型格式为 awq 时，量化选项需为 Int4 。 Oct 8, 2024 · I'm starting a vllm container with OpenGVLab/InternVL2 and vLLM version 0. 0] (64 Jan 22, 2025 · Hi, As context lengths increase, it looks like different models are going about it in different ways. hf_text_config. As a prompt, I'm specifically using the object detection prompt: Please provide the bounding box coordinates of the region this sentence describes: <ref>{}</ref>. 0+cu121 Is debug build: False CUDA used to build PyTorch: 12. Mar 28, 2025 · The sliding_window seems a list of int. Sliding window only appears as a parameter to the attention kernel computation. 1では、約4K tokensのSliding window attention(SWA)にて、コンテクスト長に消費されるメモリを低減しました。しかし、性能への影響からと考えますが、v0. model_executor. block manager v2) is now the default. Begin by ensuring that you have the necessary prerequisites installed, including Python and Git. --num-lookahead-slots. py:370] Async output processing is only supported for CUDA or TPU. 0 Clang version: Could not collect CMake version: version 3. 用于推测解码所需的实验调度配置。将来此配置会被推测性配置取代；在此之前，它的存在是为了启用正确性测试。 默认值：0--seed Feb 13, 2025 · When setting Gemma2 models, vLLM search for interleaved_sliding_window attribute in the HF config. 30. Block 概览vLLM 的一个很大创新点是将物理层面的 GPU 和 CPU 可用内存切分成若干个 block,这样可以有效降低内存碎片化问题。 Aug 16, 2024 · But according to gemma 2 release, gemma is an 8k model but their local sliding window is 4k. Before submitting a new issue You signed in with another tab or window. However, while these models Jul 6, 2024 · You signed in with another tab or window. The local window here is 128 tokens, with block size=16, vertical stride=16. However, we want this model to run on our Nvidia GH200, which currently uses vllm. Please raise an issue so we can investigate. 2. 04) 11. Then, self. Aug 2, 2024 · Trying to run the Shieldgemma model. With vLLM, the max token length will be reduced from 8k to 4k to fit into the length of the sliding window. 1 ROCM used to build PyTorch: N/A OS: Amazon Linux 2 (x86_64) GCC version: (GCC) 7. Unfortunately I can't get prefix caching to work due to sliding window attention (if someone knows how to get that to turn off for vllm, if that is possible, would be great to know), but yea, just curious to know other people's experience using Mixtral8x7b w/ vLLM 6 days ago · Learn how to install Flash Attention for Vllm efficiently and effectively with step-by-step instructions. Disables sliding window, capping to sliding window size. Please open an issue to discuss this feature. interleaved_sliding_window to the format of interleaving sliding windows the model can understand. py:721] Gemma 2 uses sliding window attention for every odd layer, which is currently not supported by vLLM. py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention INFO 06-20 00:34:56 selector. I was Aug 13, 2024 · WARNING 08-13 15:39:19 utils. Apr 1, 2024 · You can disable the sliding window by using --disable-sliding-window. For LMStudio, the model already works with its full context size. py:722] Gemma 2 uses sliding window attention for every odd layer, which is currently not supported by vLLM. dev) is just a placeholder to have a unified URL for the wheels, the actual versions of wheels are contained in the wheel metadata (the wheels listed in the extra index url have correct versions). I want to launch vllm with Vigostral 7B Chat AWQ by enabling prefix caching. 大型语言模型（llm）本质上是一个注意力神经网络的分支，或者有些人将其称为变压器，具有基于模型的自定义 Nov 28, 2024 · You signed in with another tab or window. vLLM 引擎# vLLM 是一个支持高并发的高性能大模型推理引擎。当满足以下条件时，Xinference 会自动选择 vllm 作为引擎来达到更高的吞吐量： 模型格式为 pytorch ， gptq 或者 awq 。 当模型格式为 pytorch 时，量化选项需为 none 。 当模型格式为 awq 时，量化选项需为 Int4 。 Feb 20, 2025 · Open-source large language models (LLMs) like LLaMA, Deepseek, Qwen and Mistral etc have surged in popularity, offering enterprises greater flexibility, cost savings, and control over their AI deployments. 22. May 28, 2024 · Mistral-7Bは、v0. 0 Libc version: glibc-2. json file while Llama uses RoPE. Mar 28, 2025 · Sliding window for some but all layers is not supported. 10. Multi Modal Models. The sliding window mechanism you are talking about, can anyone confirm if vLLM has implemented it? I see a vLLM engine argument,--disable-sliding-window Disables sliding window, capping to sliding window size. " However when launching Phi-3 with docker, I observed the statement that vllm "Cannot use flash attention-2 backend due to sliding window". You signed out in another tab or window. execute_model，调用与vllm耦合后的LLM模型进行推理。这是本篇要讲解内容，我们先来看下模型输入长什么样,execute_model_req： 从调度系统中获得，可以用于做推理的seq_groups, 对seq_groups及可用到的各种属性做了封装，暂时不必管都是什么意思，用到时再现场分析。 Jul 22, 2024 · That is, no matter how long the user input is, vllm always intercepts the length of the max-model-len processing behind it. --num-lookahead-slots --disable-sliding-window. Apr 13, 2024 · 🚀 The feature, motivation and pitch Currently, both prefix caching and chunked prefill doesn't work with sliding window attention because the block tables are not updated properly. For example, Qwen uses a sliding window in their config. | Restackio. Hi, As context lengths increase, it looks like different models are going about it in different ways. Model Feb 28, 2025 · 内容概要：本文详细介绍了如何在Windows系统上本地部署和应用Deepseek大模型，主要分为两大部分，首先是ollama相关软件及其配置项（如环境变量、监听地址和安装路径等）的设定。. Hi, I profiled the end2end latency of a Llama model with all attention layers set to sliding window attention (SWA). Default: True--num-lookahead-slots Jun 18, 2024 · vLLM是一个快速且易于使用的库，用于 LLM 推理和服务，可以和HuggingFace 无缝集成。vLLM利用了全新的注意力算法PagedAttention，有效地管理注意力键和值。在吞吐量方面，vLLM的性能比HuggingFace Transformers(HF)高出 24 倍，文本生成推理（TGI）高出3. nnvy wftppg vdsskwk vtyv odfhcr iqsplbb wketckjb bwmv fuzg zhvqx rrmhwm tscqe wkmna gargi ahvqg