A sandbox escape vulnerability exists in vm2 for versions up to 3.9.17. It abuses an unexpected creation of a host object based on the specification of Proxy, and allows RCE via Function in the host context.
A threat actor can bypass the sandbox protections to gain remote code execution rights on the host running the sandbox.
| 0.414 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| 0.414 /home/arch/docker-eyeos/darwin-xnu/bsd/sys/kpi_socket.h:46:30: note: in ex pansion of macro '__API_DEPRECATED' | |
| 0.414 46 | #define __NKE_API_DEPRECATED __API_DEPRECATED("Network Kernel Exte nsion KPI is deprecated", macos(10.4, 10.15)) | |
| 0.414 | ^~~~~~~~~~~~~~~~ | |
| 0.414 /home/arch/docker-eyeos/darwin-xnu/bsd/sys/kpi_socket.h:463:1: note: in ex pansion of macro '__NKE_API_DEPRECATED' | |
| 0.414 463 | __NKE_API_DEPRECATED; | |
| 0.414 | ^~~~~~~~~~~~~~~~~~~~ | |
| 0.415 /home/arch/docker-eyeos/darwin-xnu/EXTERNAL_HEADERS/Availability.h:407:31: error: expected '=', ',', ';', 'asm' or '__attribute__' before '__ |
| { | |
| "name": "OpenChat 3.5", | |
| "load_params": { | |
| "n_ctx": 8192, | |
| "n_batch": 512, | |
| "rope_freq_base": 10000, | |
| "rope_freq_scale": 1, | |
| "n_gpu_layers": 80, | |
| "use_mlock": true, | |
| "main_gpu": 0, |
| from vueGPT import prompt, make_client | |
| from dotenv import load_dotenv | |
| # load .env file | |
| load_dotenv() | |
| # get openai api key | |
| OPENAI_API_KEY = environ.get('OPENAI_API_KEY') |
| from vueGPT import prompt, make_client | |
| from dotenv import load_dotenv | |
| # load .env file | |
| load_dotenv() | |
| # get openai api key | |
| OPENAI_API_KEY = environ.get('OPENAI_API_KEY') |
| # once you have an app created and downloaded: | |
| curl -sSL https://get.wasp-lang.dev/installer.sh | sh | |
| cd {app_folder} | |
| # to install NVM: | |
| curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.5/install.sh | bash | |
| nvm install 18 | |
| nvm use 18 | |
| wasp db migrate-dev | |
| wasp start |
https://github.com/jondurbin/airoboros
pip install --upgrade airoboros==2.0.11
| #!/usr/bin/env python3 | |
| import os | |
| import sqlite3 | |
| import sys | |
| try: | |
| os.mkdir('config_restore') | |
| except: | |
| pass |
| # Clone llama.cpp | |
| git clone https://github.com/ggerganov/llama.cpp.git | |
| cd llama.cpp | |
| # Build it | |
| LLAMA_METAL=1 make | |
| # Download model | |
| export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin | |
| wget "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/${MODEL}" |
| // Name: Midjourney Prompt | |
| // Description: Generate a Random Midjourney Prompt | |
| // Author: John Lindquist | |
| // Twitter: @johnlindquist | |
| import "@johnlindquist/kit" | |
| let count = parseInt( | |
| await arg({ | |
| placeholder: "How many prompts to generate and paste?", |