Vllm pypi. 12 releases next week, Monday 2023-10-02.

Vllm pypi Saved searches Use saved searches to filter your results more quickly Client for the vLLM API with minimal dependencies - 0. Help; Sponsors; Log in; Hashes for datadog_vllm-0. 2 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 CPU Affinity NUMA Affinity PyTorch version: 2. OUR RELEASE REPO HAS JUST GONE PRIVATE. vLLM is fast with: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requests Search PyPI Search. Quantizing reduces the model’s precision from FP16 to INT4 which effectively reduces the file size by ~70%. Latest News 📣 [2024/09] We are prototyping allowing users of LM Evaluation Harness to create and evaluate on text+image multimodal input, text output tasks, and have just added the hf-multimodal and vllm-vlm model types and mmmu task as a prototype feature. LLMX - An API for Chat Fine-Tuned Language Models. gz; Algorithm Hash digest; SHA256: d56535da1b893ac49c1f40be9245f999e543c3fc95b4839642b70dd1d72760c0: Copy : MD5 PyPI page Home page Author: vLLM Team License: Apache 2. To help you ship LangChain apps to production faster, check out LangSmith. g. g, VLLM_CPU_KVCACHE_SPACE=40 means 40 GB space for KV cache), larger setting will allow vLLM running more requests in parallel. 1 ROCM used to build PyTorch: N/A OS: Ubuntu 22. 15 (main, Oct 3 2024, 07:27:34) [GCC vLLM is designed to also support the OpenAI Chat Completions API. 1. 0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2. This includes tight integration with Meta LLAMA, Mistral, QWen, and DeepSeek models, plus many others. 12 releases next week, Monday 2023-10-02. 12 fully, including testing in CI and wheels uploaded to PyPI. You can install vLLM using pip: $ conda activate myenv. It supports popular Hugging Face models, various Learn how to install vLLM, a Python library that contains pre-compiled C++ and CUDA binaries for large language models. As a healthy sign for on-going Please check your connection, disable any ad blockers, or try using a different browser. vLLM also collaborates tightly with leading model vendors to ensure support for popular models. The fasest way to get started is with our PyPI release of DeepSpeed-MII which means you can get started within minutes via: MII now delivers up to 2. We have also completed the adaptation of vLLM's v0. whl (0. AMD MI300, NVIDIA Hopper or later support native hardware conversion to and from fp32, fp16, bf16, etc. One particularly memorable milestone was the release of LLAMA 3. Overview; Haystack 2. Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. As the launching partner, vLLM was the first to enable running this very $ pip install--no-cache-dir--extra-index-url https://pypi. The FSMs are dependent on the tokenizer’s vocabulary and the guide rule. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications. If you prefer a straightforward installation from the Python Package Index (PyPI You signed in with another tab or window. Check out a 1-click example to start the vLLM demo, and the blog post for the story behind vLLM development on the clouds. py3-none-any. I also try to install vllm by source, I remove pyproject. It needs to host the dependent libraries as well, which is too complicated. py:8: RuntimeWarning: Failed to read commit hash: No module named 'vllm. entrypoints. The build has been verified for ROCm 6. 31 Python version: 3. You switched accounts on another tab or window. 1-py2. [2024/07] Faster Llama3 Serving with SGLang Runtime (vs. nvidia. By the way, the machine is offline and can only use "pip install" from limited pypi source. Now we plan to contribute the code to the vLLM project. txt, and give our . The chat interface is a more dynamic, interactive way to communicate with the model, allowing back-and-forth exchanges that can be stored in the chat history. . It supports various LLM runners, including Ollama and OpenAI-compatible APIs. json API a try if you need a hosted solution . rocm -t vllm-rocm . Help us Power Python and PyPI by joining in our end-of-year fundraiser. 0 pypi_0 pypiROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0. 11. 12 Release highlights New grammar features: PEP 701: Sy The LMSYS and vLLM team have worked together and soon developed the FastChat-vLLM integration to use vLLM as the new backend in order to support the growing demands (up to 5x more traffic). I don't know can we just add system prompt in prompt just like openai API rather than using python -m vllm. NEURAL MAGIC IS STILL RELEASING ENTERPRISE PACKAGES RELATED TO VLLM. / ## Source (B) There is a comment in the here saying pip install does not work for amd currently when building vllm. Download the file for your platform. 0-1ubuntu1~20. This fork, nm-vllm is our opinionated focus on incorporating the latest LLM optimizations like quantization and sparsity for enhanced performance. 0 support to vLLM. Check out our blog post. The adapted Ascend-vLLM demonstrates good performance in terms of ease of use and high performance. Pypi CD Add CD to PyPI #97; CI; Installation. Welcome to vLLM!# Easy, fast, and cheap LLM serving for everyone Star Watch Fork. [2024/04] We hosted the third vLLM meetup with Roblox! Please find the meetup slides here. egg-info/ python3-m pip install. If using vLLM CPU backend on a multi-socket machine with NUMA, be aware to set CPU cores and memory nodes, to avoid the remote memory node access. vllm is a library for inference and serving of large language models (LLMs) with high throughput and low memory usage. vLLM-haystack-adapter. You signed out in another tab or window. Navigation. yes, pip install doesn't work for some new models, like this issue #5454, author advised pip from source. We hope that vLLM can run smoothly on Ascend NPU, thereby serving more users. 4 ROCM used to build PyTorch: N/A OS: Ubuntu 22. This happens both when using URL or local paths, with 7B or 72B model, with or without tensor parallelism. Additionally, I see you have one package per-python version, which heavily increases the Please check your connection, disable any ad blockers, or try using a different browser. Efficient management of attention key and value memory with PagedAttention. For more information, be sure to check out our Open WebUI Documentation. 0-1ubuntu1~22. [2024/01] Added ROCm 6. 5, Phi3 and more) or custom models as OpenAI-compatible APIs with a single command. To learn more about nm-vllm Enterprise, visit the nm-vllm product page. Simply use vLLM in your haystack pipeline, to utilize fast, self-hosted LLMs. Unsloth supports Free Notebooks Further analysis of the maintenance status of vllm based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy. 1-8B-Instruct. 1+cu124 Is debug build: False CUDA used to build PyTorch: 12. 5 LTS (x86_64) GCC version: (Ubuntu 11. The text was updated successfully, but these errors were encountered: Seems like cmake find the wrong cuda nvcc and toolkit. LM Buddy is available on PyPI and can be installed as follows: pip install lm-buddy Minimum Python version $ pip install--no-cache-dir--extra-index-url https://pypi. Looking for the JS/TS version? Check out LangChain. Continuous batching of incoming requests In order to be performant, vLLM has to compile many cuda kernels. The wheels are available at [conda] numpy 1. 55. It features a built-in chat UI, state-of-the-art inference backends, and a simplified workflow for creating enterprise-grade cloud deployment with vLLM is a fast and easy-to-use library for LLM inference and serving. We will also have vLLM collaborators from Roblox coming up to the stage to discuss their experience in deploying LLMs with vLLM. CUDA version Build failure due to CUDA version mismatch #129; Pre-built CUDA Wheels Publish wheels with pre-built CUDA binaries #139 Request for creation of a wheel for vllm #695; Please let me know if this is something the team would consider taking in as part of vllm. Every member and dollar makes a difference! vLLM is a fast and easy-to-use library for LLM inference and serving. Hello @youkaichao 👋 I have set the new upload limit for vllm to 400M mainly to unlock your release processes, but I'm making a note that it's highly probable your project will reach the project limit soon because it's including an additional package. 127 pypi_0 pypi vLLM Version: 0. 2 for Radeon RX7900 series (gfx1100), you should specify BUILD_FA as below: $ DOCKER_BUILDKIT = 1 docker build --build-arg BUILD_FA = "0" -f Dockerfile. Therefore, precomputing them is not really possible, since you would need to know ahead of You signed in with another tab or window. 4. 1 for Radeon RX7900 series (gfx1100), you should specify BUILD_FA as below: $ DOCKER_BUILDKIT = 1 docker build --build-arg BUILD_FA = "0" -f Dockerfile. vLLM is fast with: State-of-the-art serving throughput. nm-vllm. toml and run "pip install -e . For detailed performance results please see our latest DeepSpeed-FastGen blog and DeepSpeed-FastGen release blog. Download files. The binaries will not be compiled and not work on non-Linux systems. How would you like to use vllm. Therefore, all models supported by vLLM are third PyTorch version: 2. vLLM is fast with: Quantizations: GPTQ, AWQ, INT4, INT8, and FP8. So I cant rebuild torch in the container. 0. Forward-only flash-attn vllm. Building vLLM with PyTorch nightly or a custom PyTorch build. We welcome users to try out this in-progress feature and stress-test it for themselves, and suggest Latest News 🔥 [2024/12] vLLM joins pytorch ecosystem!Easy, Fast, and Cheap LLM Serving for Everyone! [2024/11] We hosted the seventh vLLM meetup with Snowflake! Please find the meetup slides from vLLM team here, and Snowflake team here. Latest News 🔥 [2024/12] vLLM joins pytorch ecosystem!Easy, Fast, and Cheap LLM Serving for Everyone! [2024/11] We hosted the seventh vLLM meetup with Snowflake! Please find the meetup slides from vLLM team here, and Snowflake team here. VLLM_CPU_KVCACHE_SPACE: specify the KV Cache size (e. Forward-only flash-attn. 63 with meta-llama/Meta-Llama-3. py develop?. in-progress tool for converting OpenAI API style queries to vLLM llm. The compilation unfortunately introduces binary incompatibility with other CUDA versions and PyTorch versions, even for the same PyTorch version with different building configurations. 10 (main, Oct 3 2024, 07:29:13) [GCC Latest News 🔥 [2024/11] We hosted the seventh vLLM meetup with Snowflake! Please find the meetup slides from vLLM team here, and Snowflake team here. In a virtualenv (see these instructions if you need to create one): pip3 install vllm vLLM is a Python library that also contains pre-compiled C++ and CUDA (12. Model Input Dumps. 6 LTS (x86_64) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2. To be able to continue for now, I hardcoded os. ", but the pre-build torch still uninstalled. Python 3. 5. 4 ROCM used to build PyTorch: N/A OS: Ubuntu 20. Install the wrapper via pip: pip install vllm-haystack Usage. To contribute and to Through this approach, vLLM fosters a collaborative environment where both the core development team and the broader community contribute to the robustness and diversity of the third-party models supported in our ecosystem. Swift: Scalable lightWeight Infrastructure for Fine-Tuning. 2 version on Ascend NPU hardware. This build is only for development purposes, allowing for imports and a more convenient dev environment. api_server --model facebook/opt-125m. In an early internal micro-benchmark by LMSYS, the vLLM serving backend can achieve up to 30x higher throughput than an initial HF backend. This parameter should be set based on the hardware configuration and memory management pattern of users. vllm. 4 pypi_0 pypi [conda] nvidia-cublas-cu12 12. It would be great if vLLM could support Python 3. If you're not sure which to choose, learn more about installing packages. 1 Libc version: glibc-2. 1) binaries. vLLM is fast with: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requests Please check your connection, disable any ad blockers, or try using a different browser. js. 0 Clang version: Could not collect CMake version: version 3. This guide provides a comprehensive overview of using vLLM for various tasks, including Building vLLM with PyTorch nightly or a custom PyTorch build. This is useful for tasks that Welcome to vLLM!# Easy, fast, and cheap LLM serving for everyone Star Watch Fork. You signed in with another tab or window. Option 1: Install from PyPI. If using vLLM CPU backend on a bare-metal machine, it is recommended to disable the hyper-threading. Note that, as an inference engine, vLLM does not introduce new models. vLLM is a Python library that also contains pre-compiled C++ and CUDA (12. Have you tried to use python setup. $ pip install vLLM is a fast and easy-to-use library for LLM inference and serving. Launch Trn1/Inf2 instances#. This is the way for pytorch. 10 (main, Oct 3 2024, 07:29:13) [GCC 11. Visit our documentation to get started. Here are the steps to launch trn1/inf2 instances, in order to install PyTorch Neuron (“torch-neuronx”) Setup on Ubuntu 22. $ # Install vLLM with CUDA 12. I want to run inference of different llm including chatglm3-6b, chatglm4-9b-chat, chinese-alpaca-2-13b, Qwen1. 🐛 Describe the bug. 1 (405B). commit_id' from vllm. 1) kernels, streamlining the setup process. To run the above docker image vllm-rocm , use the below command: vLLM vLLMisafastandeasy-to-uselibraryforLLMinferenceandserving. pip3 install vllm A CLI utility and Python library for interacting with Large Language Models, including OpenAI, PaLM and local models installed on your own machine. I'm using the tool call example - weather prediction. There are still FSMs in Outlines underneath the Guide API. vLLM’s AWQ implementation have lower throughput than unquantized version. ⚡️🐍⚡️ The Python Software Foundation keeps PyPI running and supports the Python community. Nightly builds are released every night given green runs in automation. Source Distributions vLLM will automatically download the model (if it’s not already downloaded) and store it in your HuggingFace cache directory. / cd amd_smi sudo rm-rf amdsmi. 0+cpu Is debug build: False CUDA used to build PyTorch: None ROCM used to build PyTorch: N/A OS: Microsoft Windows 10 Enterprise GCC version: You signed in with another tab or window. In a virtualenv (see these instructions if you need to create one):. To run the above docker image vllm-rocm , use the below command: vLLM has been developed at UC Berkeley and deployed at Chatbot Arena and Vicuna Demo for the past two months. 2. Installation. This guide walks you through the process of building vLLM from source on AMD MI300X. 04) 11. Latest News 🔥 [2024/06] We hosted the fourth vLLM meetup with Cloudflare and BentoML! Please find the meetup slides here. Learn more about . evaluation job using lm-evaluation-harness with inference performed via an in-process HuggingFace model or an externally-hosted vLLM server. see the Ray is a unified framework for scaling AI and Python applications. For other PyTorch or CUDA versions, please compile the package Saved searches Use saved searches to filter your results more quickly PyTorch version: 2. When choosing the instance type at Official releases are made at the discretion of Neural Magic, but typically track with vllm releases. openai. numactl is an useful tool for CPU core and memory binding on NUMA platform. cd. 1 ROCM used to build PyTorch: N/A OS: Ubuntu 20. A high-throughput and memory-efficient inference and serving engine for LLMs Latest News 🔥 [2024/06] We hosted the fourth vLLM meetup with Cloudflare and BentoML! Please find the meetup slides here. 🍲 ms-swift is an official framework provided by the ModelScope community for fine-tuning and deploying large language models and multi-modal large models. 10. host a pypi index, and install via pip install vllm --index-url https://wheels. Latest version. Every member and dollar makes a difference! SUPPORT THE PSF. whl; Algorithm Hash digest; SHA256: 6454f491f6436308ed0d3e749b16a9689b104c2c8a128a6dc92f2847674b59ac: Copy Please check your connection, disable any ad blockers, or try using a different browser. As of now, it is more suitable for low latency inference with small number of concurrent requests. py install or python setup. This integration provides two invocation layers: vLLMInvocationLayer: To use models hosted on a vLLM server (or any other OpenAI compatible server); vLLMLocalInvocationLayer: To use This guide provides a comprehensive overview of using vLLM for various tasks, including running offline batched inference on datasets, building an API server for large language models, and starting an OpenAI-compatible API server. Table of Contents. x) Usage (1. Optimized CUDA kernels, including integration with FlashAttention and FlashInfer. You can create such a build with the following commands: A high-throughput and memory-efficient inference and serving engine for LLMs - Releases · vllm-project/vllm New release vllm version 0. Try to clean up your environment first. In order to be performant, vLLM has to compile many cuda kernels. ai) focusing on coordinating contributions and discussing features. 16 and beyond. Installation (1. environ["CUDA_VISIBLE_DEVICES"]="0,1,2" Hardcoding helps to circumvent for this development phase, but can clearly not be used in production. post1, restore sm70/75 support on Python PyPI. 26. These wheels are available via the official PyPI as well as Neural Magic's PyPI. Find out the requirements, options, and steps for installing released vLLM is a Python library that also contains pre-compiled C++ and CUDA (12. py at main · vllm-project/vllm vLLM can fully run only on Linux, but you can still build it on other systems (for example, macOS). | (main, May 6 2024, Please check your connection, disable any ad blockers, or try using a different browser. To enable the vLLM provider, you must set the VLLM_API_BASE environment variable. [2024/10] We have just created a developer slack (slack. 8 pypi_0 pypi [conda] nvidia-cuda-cupti-cu12 12. Following instructions are applicable to Neuron SDK 2. Try out vLLM now with a single command at our GitHub repository. [2024/01] We hosted the second vLLM meetup in SF! Please find the meetup slides here. Actually i have set the PATH & LD_LIBRARY_PATH in bash scripts but it still uses older version, do you know any eaiser way to use a specific version of nvcc and cuda-tool-kit? as I In order to be performant, vLLM has to compile many cuda kernels. A high-throughput and memory-efficient inference and serving engine for LLMs Install the stable version from PyPI: pip install-U "qwen-agent[gui,rag,code_interpreter,python_executor]" # Or use `pip install -U qwen-agent` for the minimal requirements. # Use a model service compatible with Please check your connection, disable any ad blockers, or try using a different browser. Building vLLM with aarch64 and CUDA (GH200), where the PyTorch wheels are not available on PyPI. 0+cu121 Is debug build: False CUDA used to build PyTorch: 12. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute: You signed in with another tab or window. vLLM can fully run only on Linux, but you can still build it on other systems (for example, macOS). This is not encouraged, nor recommended. Our goal is to provide pre-packaged implementations which can be operated in a variety of deployment environments: developers start iterating with Desktops or their mobile devices and can seamlessly transition to on We started a company to keep pushing the boundaries of structured generation. Enabling vLLM as a provider. 📝 Introduction. Continuous batching of incoming requests Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, Ollama, vLLM or uploaded to Hugging Face. Open WebUI 👋. Summary – Python 3. Build from source#. The most recent silicon offerings e. vLLM is a fast and easy-to-use library for LLM inference and serving. No response. vLLM is a fast and easy-to-use library for LLM inference and serving, offering: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requests; Optimized CUDA kernels; This notebooks goes over how to use a LLM with langchain and vLLM. 3. 0] (64-bit Simply use vLLM in your haystack pipeline, to utilize fast, self-hosted LLMs. Search PyPI Search. $ pip install vLLM is a Python library that also contains pre-compiled C++ and CUDA (12. 5 times higher effective throughput compared to leading systems such as vLLM. Please check your connection, disable any ad blockers, or try using a different browser. Please register here and join us! Please check your connection, disable any ad blockers, or try using a different browser. TensorRT-LLM, vLLM) . I'm using vLLM 0. Project description ; Release history ; Download files ; Verified details vllm: : : : : nlp_cloud ⚡️🐍⚡️ The Python Software Foundation keeps PyPI running and supports the Python community. x) Overview. 2, Qwen2. To build vllm on ROCm 6. 3 | packaged by Anaconda, Inc. 04) 9. ⚡ Building applications with LLMs through composability ⚡. x. When this is set, Letta will use available LLM and embedding models running on vLLM. Thanks. 22. 3 LTS (x86_64) GCC version: (Ubuntu 9. It uses /usr/lib/nvidia-cuda-toolkit and /usr/bin/nvcc. Installation; Usage; Haystack 1. It is the core technology that makes LLM serving affordable even for a small research team like LMSYS with limited compute resources. We found that vllm demonstrates a positive version release cadence with at least one new version released in the past 3 months. Requirements# OS: Linux. 🦜️🔗 LangChain. A simple python package that provides a unified interface to several LLM providers of chat fine-tuned models [OpenAI, AzureOpenAI, PaLM, Cohere and local HuggingFace Models]. ai/. 0 - a Python package on PyPI Client for the vLLM API with minimal dependencies The 2024 Tidelift state of the open source maintainer report! 📊 Read now! In order to be performant, vLLM has to compile many cuda kernels. 0-cp38-abi3-manylinux_2_17_x86_64. vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. I want to You signed in with another tab or window. More [2024/02] SGLang enables 3x faster JSON decoding with compressed finite state machine Help us Power Python and PyPI by joining in our end-of-year fundraiser. 0, it seems based on nvidia defaultly. Related runtime environment variables#. You can create such a build with the following commands: PyTorch version: 2. A high-throughput and memory-efficient inference and serving engine for LLMs. The LMSYS and vLLM team have worked together and soon developed the FastChat-vLLM integration to use vLLM as the new backend in order to support the growing demands (up to 5x more traffic). Installation The nm-vllm PyPi package includes pre-compiled binaries for CUDA (version 12. To create a new 4-bit quantized model, you can leverage AutoAWQ. version import __version__ as VLLM_VERSION PyTorch version: 2. OpenLLM allows developers to run any open-source LLMs (Llama 3. utils import FlexibleArgumentParser 3 4 5 def main (): 6 7 parser = FlexibleArgumentParser (description = 'AQLM examples') C:\Users\sasha\vllm\vllm\vllm\connections. Latest version: Generated on 2024-12-25 10:02:13. generate() queries Hashes for vllm_nccl_cu12-2. 3 LTS (x86_64) GCC version: (Ubuntu 11. We welcome and value any contributions and collaborations. 29. vLLMisfastwith: • State-of-the-artservingthroughput 1 from vllm import LLM, SamplingParams 2 from vllm. The Third vLLM Bay Area Meetup (April 2nd 6pm-8:30pm PT) We are thrilled to announce our third vLLM Meetup! The vLLM team will share recent updates and roadmap. Step 0. The first step towards reliability of systems that include large language models is to ensure that there is a well-defined interface between their output and user-defined code. 🦾 OpenLLM: Self-Hosting LLMs Made Easy. 5 Libc version: glibc-2. nm_vllm-0. Continuous batching of incoming requests vLLM. I get incoherent generation outputs when using offline vLLM for inference with videos. Structured generation. 18. com nvidia-ammo Studies have shown that FP8 E4M3 quantization typically only minimally degrades inference accuracy. Performance vllm. Currently, only the PyTorch nightly has wheels for aarch64 with CUDA. Key Features of Open WebUI ⭐ VLLM is like a turbo boost for LLAMA2, making the whole process lightning fast. tar. 0 Summary: A high-throughput and memory-efficient inference and serving engine for LLMs Welcome to vLLM!# Easy, fast, and cheap LLM serving for everyone Star Watch Fork. 0) ; nm_vllm-0. LLM . Please feel free to join us there! [conda] triton 2. i don't know. 12. post1 v0. 0 pypi_0 pypi [conda] vllm-nccl-cu12 2. Please follow the instructions at launch an Amazon EC2 Instance to launch an instance. Fill out this form to speak with our sales team. 11 pip install litellm Copy PIP instructions. Maybe deleting the old ones. Library to easily interface with LLM API providers. Flash Attention: Fast and Memory-Efficient Exact Attention Although I haven't personally performed quantization, my understanding is that you're supposed to run the quantization separately (), and then run vLLM on the quantized version of the model (which is modified from the HF download). $ pip install Explore the Vllm package on PyPI, its features, installation, and usage for efficient model serving. Reload to refresh your session. 6. ## Install AMD_SMI pypi package cp-r /opt/rocm/share/amd_smi. Released: about 1 hour ago. [2023/06] We officially released vLLM! FastChat-vLLM integration has powered LMSYS Vicuna and Chatbot Arena since mid-April. 04 LTS. PyTorch version: 2. i am not sure. litellm 1. [2023/06] Serving vLLM On any Cloud with SkyPilot. It is an open-source project that allows serving open models in production, when you have GPU Please check your connection, disable any ad blockers, or try using a different browser. 0-cp38-abi3-manylinux_2_17 An open platform for training, serving, and evaluating large language model based chatbots. Every member and dollar makes a difference! vllm-tools. 14 (main, May 6 2024, 19:42:50) [GCC Related runtime environment variables#. post1 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: A high-throughput and memory-efficient inference and serving engine for LLMs - 4PiR2/nm-vllm To build vllm on ROCm 6. 35 Python version: 3. 04. A high-throughput and memory-efficient inference and serving engine for LLMs - vllm/vllm/platforms/cuda. and i found that, if pip install vllm==0. 5-14B-Chat using vllm. jtehpn efcbqt xfoehw bypb virrom lwv cqj zttg krazs kav