Fabrizio Milo Mistobaan

## together_async_inference.py
from tqdm.auto import tqdm
import asyncio
import aiohttp
import json
import time
import os
import textwrap

TOGETHER_API_TOKEN = os.environ['TOGETHER_API_TOKEN']

## large_world_model.ipynb

      
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              February 19, 2024 16:34
            
              
                large_world_model.ipynb
              
          
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## merge_peft.py
# Example usage:
# python merge_peft.py --base_model=meta-llama/Llama-2-7b-hf --peft_model=./qlora-out --hub_id=alpaca-qlora

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

import argparse

def get_args():

## langchain_llamacpp_natural_functions.ipynb

      
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                / langchain_llamacpp_natural_functions.ipynb
            
            
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              March 19, 2024 22:08
            
              
                langchain_llamacpp_natural_functions.ipynb
              
          
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## eval-gsm8k-microsoft-phi-2-colab.ipynb

      
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                / eval-gsm8k-microsoft-phi-2-colab.ipynb
            
            
              Last active
              January 28, 2024 01:31
            
              
                eval-gsm8k-microsoft-phi-2-colab.ipynb
              
          
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## ngrok_util.py
# from: https://stackoverflow.com/a/54088479/121687
import json
import requests


def get_ngrok_url():
    url = "http://localhost:4040/api/tunnels/"
    res = requests.get(url)
    res_unicode = res.content.decode("utf-8")
    res_json = json.loads(res_unicode)

## deploy_dolly_v2.ipynb

      
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                Mistobaan
                / deploy_dolly_v2.ipynb
            
            
              Created
              April 29, 2023 18:08
                — forked from timesler/deploy_dolly_v2.ipynb
            
              
                Deploy Dolly v2.0 to SageMaker
              
          
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## bad_grad_viz.py
from graphviz import Digraph
import torch
from torch.autograd import Variable, Function

def iter_graph(root, callback):
    queue = [root]
    seen = set()
    while queue:
        fn = queue.pop()
        if fn in seen:

## Covariate Model-First_Paper.ipynb

      
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                Mistobaan
                / Covariate Model-First_Paper.ipynb
            
            
              Created
              January 19, 2023 02:26
                — forked from fonnesbeck/Covariate Model-First_Paper.ipynb
            
          
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## aws_mfa_login.py
#!/bin/env python

import sys
import os
import shlex
import subprocess
import json
import configparser
import argparse
	from tqdm.auto import tqdm
	import asyncio
	import aiohttp
	import json
	import time
	import os
	import textwrap

	TOGETHER_API_TOKEN = os.environ['TOGETHER_API_TOKEN']
	# Example usage:
	# python merge_peft.py --base_model=meta-llama/Llama-2-7b-hf --peft_model=./qlora-out --hub_id=alpaca-qlora

	from transformers import AutoModelForCausalLM, AutoTokenizer
	from peft import PeftModel
	import torch

	import argparse

	def get_args():
	# from: https://stackoverflow.com/a/54088479/121687
	import json
	import requests


	def get_ngrok_url():
	url = "http://localhost:4040/api/tunnels/"
	res = requests.get(url)
	res_unicode = res.content.decode("utf-8")
	res_json = json.loads(res_unicode)
	from graphviz import Digraph
	import torch
	from torch.autograd import Variable, Function

	def iter_graph(root, callback):
	queue = [root]
	seen = set()
	while queue:
	fn = queue.pop()
	if fn in seen:
	#!/bin/env python

	import sys
	import os
	import shlex
	import subprocess
	import json
	import configparser
	import argparse