为了简化并标准化这一过程,mnn-llm团队开发了一个名为 llm-export 的工具。 llm-export 工具的核心思想在于对大型语言模型(LLM)进行了高度抽象,建立了一个统一化的导出框架。这个项目的目标是消除将各种 LLM 模型导出到 ONNX 格式的障碍,确保无论是何种架构的 LLM 都能通过一个清晰定义的接口进行处理。在 llm-...
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LLM APIs: APIs are a convenient way to deploy LLMs. This space is divided between private LLMs (OpenAI,Google,Anthropic,Cohere, etc.) and open-source LLMs (OpenRouter,Hugging Face,Together AI, etc.). Open-source LLMs: TheHugging Face Hubis a great place to find LLMs. You can directl...
llm模型导出onnx和mnn模型请使用llm-export 模型下载 构建 CI构建状态: # clone git clone --recurse-submodules https://github.com/wangzhaode/mnn-llm.git cd mnn-llm # linux ./script/build.sh # macos ./script/build.sh # windows msvc ./script/build.ps1 # python wheel ./script/py_build.sh...
wangzhaode/mnn-llm Star1.5k Code Issues Pull requests Discussions llm deploy project based mnn. cppopenclcudamnnchatglm-6bchatglm2-6bqwen-7bbaichuan2-7bcodegeex2-6b UpdatedNov 5, 2024 C++ Sharpen your low-resolution pictures with the power of AI upscaling ...
但是使用下面版本的MNN库,就可以正常图例qwen1.8b-int8模型,能否提供一下编译mnn_2.8.0_ios_llm.zip 的方法。 https://github.com/alibaba/MNN/releases/download/2.8.0/mnn_2.8.0_ios_llm.zip xingjingluchanged the titleMNN 在 iOSrelease版本的Apr 25, 2024 ...
Inside Alibaba, MNN works as the basic module of the compute container in the Walle System, the first end-to-end, general-purpose, and large-scale production system for device-cloud collaborative machine learning, which has been published in the top system conference OSDI’22. The key design ...
MNN-LLM是基于MNN引擎开发的大语言模型运行方案,解决大语言模型在本地设备的高效部署问题(手机/个人电脑/嵌入式设备)。支持常见的千问/百川/智谱/LLAMA等大语言模型。使用教程:MNN-LLM使用教程 MNN-Diffusion是基于MNN引擎开发的Stable Diffusion文生图模型运行方案,解决Stable Diffusion模型在本地设备的高效部署问题。使...
In addition, MNN is also used on embedded devices, such as IoT. Inside Alibaba, MNN works as the basic module of the compute container in the Walle System, the first end-to-end, general-purpose, and large-scale production system for device-cloud collaborative machine learning, which has ...
mllm reuses many low-level kernel implementation from ggml on ARM CPU. It also utilizes stb and wenet for pre-processing images and audios. mllm also has benefitted from following projects: llama.cpp and MNN. License Overall Project License This project is licensed under the terms of the ...