Satyam Tiwary sutyum

Virtual serial line

Virtual serial line on linux with socat, python server & client

socat -d -d pty,raw,echo=0,link=/tmp/cryocon_simulator pty,raw,echo=0,link=/tmp/cryocon

	#include <stdio.h>
	#include <stdlib.h> // for malloc
	#include <memory.h>
	#include <stdbool.h>
	#include <assert.h> // In order to use: assert()

	// 1. Use typedefs
	typedef struct cat { char* name; } cat;

	// 2. Use sized types

	import modal

	vllm_image = modal.Image.debian_slim(python_version="3.10").pip_install(
	[
	"vllm==0.5.3post1", # LLM serving
	"huggingface_hub==0.24.1", # download models from the Hugging Face Hub
	"hf-transfer==0.1.8", # download models faster
	]
	)

	#!/bin/bash

	# Prompt for email and name
	read -p "Enter your GitHub email: " email
	read -p "Enter your full name: " name

	# Generate SSH key
	ssh-keygen -t ed25519 -C "$email" -f ~/.ssh/id_ed25519 -N ""

	# Start SSH agent and add key

	#agentic.py
	# https://discord.com/channels/1192246288507474000/1192247523604185189/1229828123764330577

	from pydantic import BaseModel, Field
	from typing import List


	class Agent(BaseModel):
	variable: str = Field(description="snake cased variable based off the agents role")
	role: str = Field(description="The role of the agent", examples=["Senior Project Manager","Lead Developer","Senior Architect"])

	models:
	- model: NousResearch/Llama-2-70b-hf
	# no parameters necessary for base model
	- model: wanglab/ClinicalCamel-70B
	parameters:
	weight: 0.08
	density: 0.45
	- model: epfl-llm/meditron-70b
	parameters:
	weight: 0.08

	models:
	- model: NousResearch/Nous-Hermes-Llama2-13b
	# no parameters necessary for base model
	- model: starmpcc/Asclepius-Llama2-13B
	parameters:
	weight: 0.08
	density: 0.45
	- model: axiong/PMC_LLaMA_13B
	parameters:
	weight: 0.08

	import argparse
	import yaml
	from huggingface_hub import ModelCard, HfApi
	from jinja2 import Template

	# Argument parser setup
	parser = argparse.ArgumentParser(description='Create a repo on Huggingface for the model and upload it.')
	parser.add_argument('model_name', type=str, help='Model name')
	parser.add_argument('--new', action='store_true', default=True, help='Create new repo')
	parser.add_argument('-y', '--yaml_path', type=str, required=True, help='Path to YAML configuration file')

	models:
	- model: NousResearch/Llama-2-7b-hf
	# no parameters necessary for base model
	- model: AdaptLLM/medicine-chat
	parameters:
	weight: 0.08
	density: 0.45
	- model: starmpcc/Asclepius-Llama2-7B
	parameters:
	weight: 0.08