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"""
# Source: https://gist.github.com/jneuff/682d47b786329f19291d166957b3274a

/// Fix a huggingface tokenizer to which tokens have been added after training.
///
/// Adding tokens after training via `add_special_tokens` leads to them being added to the
/// `added_tokens` section but not to the `model.vocab` section. This yields warnings like:
/// ```
/// [2023-10-17T07:54:05Z WARN  tokenizers::tokenizer::serialization] Warning: Token '<|empty_usable_token_space_1023|>' was expected to have ID '129023' but was given ID 'None'
/// ```

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#!/bin/bash
#SBATCH --job-name=llm-swarm
#SBATCH --partition hopper-prod
#SBATCH --gpus={{gpus}}
#SBATCH --cpus-per-task=12
#SBATCH --mem-per-cpu=11G
#SBATCH -o slurm/logs/%x_%j.out

# See original source here:
# https://github.com/huggingface/llm-swarm/blob/main/templates/tgi_h100.template.slurm

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# For directory
du -h ./ | sort -hr | head -n 10

# For the largest files within a given directory and its subdirectories
find ./ -type f -exec du -h {} + | sort -hr | head -n 10

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import typing as t
import jsonlines
from langchain.schema import Document


def save_docs_to_jsonl(documents: t.Iterable[Document], file_path: str) -> None:
    with jsonlines.open(file_path, mode="w") as writer:
        for doc in documents:
            writer.write(doc.dict())

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"""
# See https://huggingface.co/intfloat/e5-mistral-7b-instruct for model inference code

## Quickstart

Install requirements
```bash
pip install fastapi uvicorn torch transformers
```

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# TODO: Add this to PR for Langchain so that it will be easy to use across all our different LLM projects
import re
import time
import warnings
from pathlib import Path
from typing import List, Union, Optional

import requests
from tqdm import tqdm
from pydantic import BaseModel, Field, field_validator, computed_field

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import os
from typing import List, Union


def listdirs(path, extensions: Union[List[str], str] = None):
    """ List all files in directory (including walking all subdirectories).

    Can filter by file extension by providing either, for example:
        extensions='png'
        extensions=['png', 'jpeg']

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# Uses python3
import sys
from typing import List


def calc_fib(n):
    if n == 1 or n == 2:
        return 1
    elif n == 0:
        return 0

dcbark01

A simple Docker and Docker Compose install script for Ubuntu

Usage

1. sh install-docker.sh
2. log out
3. log back in

Links