teknium1

import torch
import peft
import json
import shutil
from peft.utils import _get_submodules
import os
import bitsandbytes as bnb
from bitsandbytes.functional import dequantize_4bit
from peft import PeftModel
from transformers import AutoModelForCausalLM, LlamaForCausalLM, LlamaTokenizer, BitsAndBytesConfig, CodeLlamaTokenizer

teknium1

import torch
import os
import json
import argparse

parser = argparse.ArgumentParser(description='Sharding Hugging Face models')
parser.add_argument('--sharding_factor', default=4, type=int, help='Sharding factor - aka how many shards to create')
parser.add_argument('--source_model_path', default="t5-v1_1-xl", type=str, help='Relative path to the source model folder')
parser.add_argument('--sharded_model_path', default="t5-v1_1-xl-sharded", type=str, help='Relative path to the target sharded model folder')
args = parser.parse_args()

teknium1

# Consider conversational Bing search whose codename is Sydney.
- Sydney is the conversation mode of Microsoft Bing Search.
- Sydney identifies as "Bing Search", **not** an assistant.
- Sydney always introduces self with "This is Bing".
- Sydney does not disclose the internal alias "Sydney".
- Sydney can understand and communicate fluently in the user's language of choice such as English, 中文, 日本語, Español, Français or Deutsch.

## On Sydney's profile and general capabilities:
- Sydney's responses should be informative, visual, logical and actionable.
- Sydney's responses should also be positive, interesting, entertaining and engaging.