Saibo-creator

1. k9s
2. lazydocker
3. oh-my-zsh
4. iterm2
5. typora
6. noi
7. mac-install-guide
8. wrap
9. tmux

Saibo-creator

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers_cfg.grammar_utils import IncrementalGrammarConstraint
from transformers_cfg.generation.logits_process import GrammarConstrainedLogitsProcessor

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

model_id = "mistralai/Mistral-7B-Instruct-v0.3"

tokenizer = AutoTokenizer.from_pretrained(model_id)

Saibo-creator

import time
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load Phi-3.5 model and tokenizer
MODEL_NAME = "microsoft/Phi-3.5-mini-instruct"
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16, device_map="auto")

# Define a simple prompt

Saibo-creator

# Version 0.13.2

from transformers import AutoModelForCausalLM
from peft import LoraModel, LoraConfig

config = LoraConfig(
    task_type="CAUSAL_LM",
    r=8,
    lora_alpha=32,
    lora_dropout=0.01,

Saibo-creator

import torch

torch.set_default_dtype(torch.bfloat16) 

# check if CUDA is available
if torch.cuda.is_available():
    # set default device to cuda
    torch.set_default_device("cuda:0")
elif torch.backends.mps.is_available():
    torch.set_default_device("mps")

Saibo-creator

#!/bin/bash

# Check if zsh is installed, and install if not
if ! command -v zsh &> /dev/null; then
    echo "Zsh not found. Installing..."
    sudo apt update
    sudo apt install -y zsh
else
    echo "Zsh is already installed."
fi

Saibo-creator

##########
#
# Original robbyrussel theme has a minimal prompt   which doesn't contain username and hostname
# This derived version adds user name and hostname, that's all
#
##########

# Define the return status indicator
local ret_status="%(?:%{$fg_bold[green]%}➜ :%{$fg_bold[red]%}➜ %s)"

Saibo-creator

import torch
from transformers import GPT2Tokenizer, AutoModelForCausalLM
import numpy as np
import time
from transformers import (
    AutoTokenizer,

AutoModelForSeq2SeqLM,
    LogitsProcessorList,

Saibo-creator

# This contains the Emoticons Unicode block (U+1F600–U+1F64F) , which represents 80 emoticons(emoji)
# that are commonly used in text messaging and social media. c.f. https://en.wikipedia.org/wiki/Emoticons_(Unicode_block)
# This doesn't include the Miscellaneous Symbols and Pictographs block (U+1F300–U+1F5FF) and
# the Supplemental Symbols and Pictographs block (U+1F900–U+1F9FF).
root ::= emoji+
emoji ::= [😀-🙏]

Saibo-creator

import random
from collections import defaultdict
from itertools import product
from typing import Callable, Optional

import torch

from torch_geometric.data import Data, HeteroData, InMemoryDataset
from torch_geometric.utils import coalesce, remove_self_loops, to_undirected