h2oGPT 简化了创建一个私人大型语言模型(LLM)的过程。它包括一个大型语言模型、一个嵌入模型、用于文档嵌入的数据库、命令行界面和图形用户界面。 Put anything on the username and password, you can test it here:https://gpt.h2o.ai/ Link:https://github.com/h2oai/h2ogpt 11Oobabooga Oobabooga 是一个...
But what if you could run generative AI models locally on a tiny SBC? Turns out, you can configure Ollama’s API to run pretty much all popular LLMs, including Orca Mini, Llama 2, and Phi-2, straight from your Raspberry Pi board! Related Raspberry Pi 5 review: The holy grail of ...
fix/15189-when-deploying-dify-locally-the-tool-icon-cannot-be-displayed-in-workflow-and-agent-the-solution-is-to-modify-the-local-nginx-configuration-to-achieve-it feat/dark-mode-for-knowledge fix/dataset-editor-permission fix/dataset-admin fix/setup-credentials feat/support-workspace-billing-info...
Right now, LM Studio for the Snapdragon X Elite only runs on the CPU, but it will soon run on the NPU as well. You can play around with some of the settings in LM Studio to get it run faster on the CPU currently, but it's expected that NPU support should speed things up consider...
from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") chat = [ {'role': 'user', 'content': 'Hello, how are you?'}, {'role': 'assistant', 'content': 'I\\'m good, thank you for asking. How can I assist you today?'...
Hugging Face also providestransformers, a Python library that streamlines running a LLM locally. The following example uses the library to run an older GPT-2microsoft/DialoGPT-mediummodel. On the first run, the Transformers will download the model, and you can have five interactions with it. Th...
【LLocalSearch:使用LLM Agent完全本地运行的元搜索引擎,用户可以问一个问题,系统将使用LLM链来找到答案,用户可以看到agent的进度和最终的答案,不需要OpenAI或Google API密钥】'LLocalSearch - This is a completly locally running meta search engine using LLM Agents. The user can ask a question and the system...
Contact Us If you run into any problems with the code, please file Github issues directly to this repo. If you want to train LLMs on the MosaicML platform, reach out to us atdemo@mosaicml.com!
Do I need a powerful PC to run SillyTavern? The hardware requirements are minimal: it will run on anything that can run NodeJS 18 or higher. If you intend to do LLM inference on your local machine, we recommend a 3000-series NVIDIA graphics card with at least 6GB of VRAM. Check your...
There are a ton of parameters you can adjust. You can get lost in the settings, and once I learn more about it, I’ll certainly share it here. Here was my test chat: Hey! It works! Awesome, and it’s running locally on my machine. ...