beowolx

{
  "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,

mberman84

# spin up a runpod GPU with TextGen WebUI, no need to use openai flag
# you can also use TextGen WebUI on your local computer
git clone https://github.com/cpacker/MemGPT.git
cd MemGPT
export OPENAI_API_BASE=https://some-stuff-5000.proxy.runpod.net # using runpod
# export OPENAI_API_BASE=localhost:5000 # using local computer
BACKEND_TYPE=webui
python3 main.py --no_verify

win3zz

CVE-2023-21939 - Code Exec - Proof of Concept

Vulnerability Summary: Vulnerability in the Oracle Java SE, Oracle GraalVM Enterprise Edition product of Oracle Java SE (component: Swing). Supported versions that are affected are Oracle Java SE: 8u361, 8u361-perf, 11.0.18, 17.0.6, 20; Oracle GraalVM Enterprise Edition: 20.3.9, 21.3.5 and 22.3.1. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Java SE, Oracle GraalVM Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Java SE, Oracle GraalVM Enterprise Edition accessible data. Note: This vulnerability applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. This vulnerability can also be exploited by using APIs in the specifie

jondurbin

Details on how the airoboros-gpt4-2.0 dataset was created.

Script

https://github.com/jondurbin/airoboros

pip install --upgrade airoboros==2.0.13

adrienbrault

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
make clean
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

mberman84

import torch
print(torch.version.cuda)
print(torch.cuda.is_available())

disler

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')

samicrusader

#!/usr/bin/env python3

import os
import sqlite3
import sys

try:
    os.mkdir('config_restore')
except:
    pass

fofr

// Get a reference to the active document.
var doc = app.activeDocument;

// Set the height of the selection to the height of the document.
var height = doc.height;

// Set the x and y offset in pixels.
var xOffset = 5;
var yOffset = 5;

aemmitt-ns

// dump classes and selectors forbidden in NSPredicates
// `cc -framework Foundation -o restricted restricted.m`
#import <Foundation/Foundation.h>
#import <dlfcn.h>

int main() {
    void *cf = dlopen("/System/Library/Frameworks/CoreFoundation.framework/CoreFoundation", 0);
    NSDictionary* (*RestrictedClasses)() = dlsym(cf, "_CFPredicatePolicyRestrictedClasses");
    NSDictionary* (*RestrictedSelectors)() = dlsym(cf, "_CFPredicatePolicyRestrictedSelectors");
    NSLog(@"Restricted Selectors: %@", RestrictedSelectors());