为了克服这一挑战,EdgeMoE应运而生,它以其独特的架构设计和技术创新,为LLM在边缘设备上的推理提供了新的解决方案。 EdgeMoE技术概览 EdgeMoE,全称为Edge-device Inference of MoE-based Large Language Models,是一种为混合专家(MoE)LLM量身定制的设备上推理引擎。MoE模型通过引入专家网络,实现了模型参数的稀疏性,...
# 以下两句视网络情况添加 import os os.environ['HF_ENDPOINT'] = "https://hf-mirror.com" from transformers import AutoTokenizer, LlamaForCausalLM import torch device = 'cuda' if torch.cuda.is_available() else 'cpu' model_name = 'Tongjilibo/MiniLLM-L12_H1024_A8-WithWudao-SFT_Alpaca' tok...
TA-MoE强调当前MoE调度模式没有充分利用底层异构网络环境,因此引入了一种针对大规模MoE训练的拓扑感知路由策略,根据网络拓扑动态修改MoE调度模式,使其性能超过了FastMoE、FasterMoE和DeepSpeed-MoE。EdgeMoE为基于MoE的LLMs提出了一个针对设备端推理的引擎。它通过将模型分布在不同的存储级别来优化内存和计算,以进行推理。
mlc_llm compile ./dist/internlm2_5-1_8b-chat-q4f16_1-MLC/mlc-chat-config.json \ --device cuda -o dist/libs/internlm2_5-1_8b-chat-q4f16_1-MLC-cuda.so 测试编译的模型是否符合预期,手机端运行的效果和测试效果接近 from mlc_llm import MLCEngine # Create engine engine = MLCEngine(model...
# Add node and edge to graph next_token = tokenizer.decode(token_id, skip_special_tokens=True) current_node = list(graph.successors(node))[0] graph.nodes[current_node]['tokenscore'] = np.exp(token_score) * 100 graph.nodes[current_node]['token'] = next_token + f"_{length}" ...
mllmis a fast and lightweightinference engine for mobile and edge devices. Plain C/C++ implementation without dependencies Optimized for multimodal LLMs like fuyu-8B Supported: ARM NEON and x86 AVX2 4-bit and 6-bit integer quantization
mlc_llm compile./dist/internlm2_5-1_8b-chat-q4f16_1-MLC/mlc-chat-config.json \--device cuda-o dist/libs/internlm2_5-1_8b-chat-q4f16_1-MLC-cuda.so 测试编译的模型是否符合预期,手机端运行的效果和测试效果接近 frommlc_llmimportMLCEngine ...
更新了除 Edge TTS的 Paddle TTS的离线方式。 更新了ER-NeRF作为Avatar生成的选择之一。 更新了app_talk.py,在不基于对话场景可自由上传语音和图片视频生成。 介绍 Linly-Talker是一款创新的数字人对话系统,它融合了最新的人工智能技术,包括大型语言模型(LLM)🤖、自动语音识别(ASR)🎙️、文本到语音转换(TTS)...
EdgeGPT Reverse engineered API of Microsoft's Bing Chat using Edge browser simpleaichat python package for simple and easy interfacing with chat AI APIs Dotnet SDK for openai chatGPT, Whisper, GPT-4 and Dall-E SDK for .NET node-llama-cpp TS library to locally run many models supported by...
Edge or on-device models: Edge models can operate like fine-tuned models, but they typically have an even smaller scope. This type of model is often designed to produce immediate feedback based on user input. Google Translate is an example of an edge model at work.5 ...