Hello, I've managed to work with llama2 at 70B, and now I'd like to use Code Llama on the same system. Regarding Code Llama, our company regularly implements system development and machine learning models in various languages. We are currently using ChatGPT to enhance our operational efficiency. In the future, we aim to achieve more flexible operations using Code Llama.
There are several models available, so I'll take a look at them. For files, I used the original sample files. The following is the terminal execution. Below that are the prompt and output results.
CodeLlama-7b
torchrun --nproc_per_node 1 example_completion.py --ckpt_dir CodeLlama-7b/ --tokenizer_path CodeLlama-7b/tokenizer.model
Loaded in 18.82 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser(description="Reverse a string")
parser.add_argument("string", help="The string to reverse")
args = parser.parse_args()
main(args.string)
CodeLlama-13b
torchrun --nproc_per_node 2 example_completion.py --ckpt_dir CodeLlama-13b/ --tokenizer_path CodeLlama-13b/tokenizer.model
Loaded in 38.33 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser()
parser.add_argument("string", help="String to reverse")
args = parser.parse_args()
main(args.string)
# python3 0.py "Hello World"
# Hello World
# dlroW olleH
# python3 0.py "Hello"
# Hello
# olleH
# python3 0.py "12345"
# 12345
# 54321
# python3 0.py "1234567890"
# 1234567890
# 0987654321
# python3 0.py "12345678901234567890"
# 123456789012
CodeLlama-34b
torchrun --nproc_per_node 4 example_completion.py --ckpt_dir CodeLlama-34b/ --tokenizer_path CodeLlama-34b/tokenizer.model
Loaded in 61.58 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser()
parser.add_argument("string", help="string to reverse")
args = parser.parse_args()
main(args.string)
CodeLlama-7b-Python
torchrun --nproc_per_node 1 example_completion.py --ckpt_dir CodeLlama-7b-Python/ --tokenizer_path CodeLlama-7b-Python/tokenizer.model
Loaded in 25.38 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser()
parser.add_argument("string", help="The string to reverse")
args = parser.parse_args()
main(args.string)
CodeLlama-13b-Python
torchrun --nproc_per_node 2 example_completion.py --ckpt_dir CodeLlama-13b-Python/ --tokenizer_path CodeLlama-13b-Python/tokenizer.model
Loaded in 38.20 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser()
parser.add_argument("string", type=str)
args = parser.parse_args()
main(args.string)
CodeLLama-34b-Python
torchrun --nproc_per_node 4 example_completion.py --ckpt_dir CodeLlama-34b-Python/ --tokenizer_path CodeLlama-34b-Python/tokenizer.model
Loaded in 68.40 seconds
import argparse
def main(string: str):
print(string)
print(string[::-1])
if __name__ == "__main__":
>
parser = argparse.ArgumentParser(description='Print a string and its reversed version')
parser.add_argument('string', type=str, help='The string to print')
args = parser.parse_args()
main(args.string)
CodeLLama-7b-Instruction
torchrun --nproc_per_node 1 example_instructions.py --ckpt_dir CodeLlama-7b-Instruct/ --tokenizer_path CodeLlama-7b-Instruct/tokenizer.model
Loaded in 27.04 seconds
User: In Bash, how do I list all text files in the current directory (excluding subdirectories) that have been modified in the last month?
> Assistant: You can use the `find` command in Bash to list all text files in the current directory that have been modified in the last month. Here's an example command:
```
find . -type f -name "*.txt" -mtime -30
```
Here's how the command works:
* `.` is the current directory.
* `-type f` specifies that we want to find files (not directories).
* `-name "*.txt"` specifies that we want to find files with the `.txt` extension.
* `-mtime -30` specifies that we want to find files that have been modified in the last 30 days.
The `-mtime` option takes a number of days as its argument, and the `-30` argument means "modified in the last 30 days".
You can also use the `-mtime +30` option to find files that have been modified more than 30 days ago.
You can also use the `-mtime 0` option to find files that have been modified today.
You can also use the `-mtime -1` option to find files that have been modified yesterday.
You can also use the `-mtime -2` option to find files that have been modified the day before yesterday.
You can also use the `-mtime -3` option to find files that have been modified the day before the day before yesterday.
You can also use the `-mtime -4` option to find files that have been modified the day before the day before the day before yesterday.
You can also use the `-mtime -5` option to find files that have been modified the day before the day before the day before the day before yesterday.
You can also use the `-mtime -6` option to find files that have been modified the day before the day before the day before the day before the day before yesterday.
You can also use the `-mtime -7` option to find files that have been modified the day before the day before the day before the day before the day before the day before yesterday.
You can also use the `-mtime -8` option
==================================
User: What is the difference between inorder and preorder traversal? Give an example in Python.
> Assistant: Inorder and preorder traversal are two different ways of traversing a binary tree.
Inorder traversal visits the left subtree, then the root, and finally the right subtree. The order of the nodes is determined by the order in which they appear in the tree.
Preorder traversal visits the root, then the left subtree, and finally the right subtree. The order of the nodes is determined by the order in which they appear in the tree, but the root node is always visited first.
Here is an example of an inorder traversal in Python:
```
def inorder_traversal(root):
if root:
inorder_traversal(root.left)
print(root.data)
inorder_traversal(root.right)
```
And here is an example of a preorder traversal in Python:
```
def preorder_traversal(root):
if root:
print(root.data)
preorder_traversal(root.left)
preorder_traversal(root.right)
```
In the inorder traversal, the left subtree is visited first, then the root, and finally the right subtree. In the preorder traversal, the root is visited first, then the left subtree, and finally the right subtree.
==================================
System: Provide answers in JavaScript
User: Write a function that computes the set of sums of all contiguous sublists of a given list.
> Assistant: Here's a possible implementation of the function in JavaScript:
```
function contiguousSums(list) {
let result = [];
for (let i = 0; i < list.length; i++) {
let sum = 0;
for (let j = i; j < list.length; j++) {
sum += list[j];
}
result.push(sum);
}
return result;
}
```
This function takes a list as input and returns a list of the sums of all contiguous sublists of the input list.
For example, if the input list is `[1, 2, 3, 4, 5]`, the output list would be `[15, 14, 12, 7, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
==================================
CodeLLama-13b-Instruction
torchrun --nproc_per_node 2 example_instructions.py --ckpt_dir CodeLlama-13b-Instruct/ --tokenizer_path CodeLlama-13b-Instruct/tokenizer.model
Loaded in 44.34 seconds
User: In Bash, how do I list all text files in the current directory (excluding subdirectories) that have been modified in the last month?
> Assistant: You can use the `find` command in Bash to list all text files in the current directory (excluding subdirectories) that have been modified in the last month. Here's an example command:
```
find . -type f -name "*.txt" -mtime -30
```
Here's a breakdown of the command:
* `find .`: Find files in the current directory (`.`) and all its subdirectories.
* `-type f`: Only include files (not directories).
* `-name "*.txt"`: Only include files with the `.txt` extension.
* `-mtime -30`: Only include files that have been modified in the last 30 days (2,592,000 seconds).
Note that the `-mtime` option uses the modification time of the file, which is the time the file was last modified. If you want to use the access time instead, you can use the `-atime` option.
==================================
User: What is the difference between inorder and preorder traversal? Give an example in Python.
> Assistant: Inorder and preorder traversal are two different ways of traversing a binary tree.
Inorder traversal is a way of traversing a binary tree where the left subtree is traversed first, then the root node, and finally the right subtree. This means that the nodes are visited in the order of: left subtree, root node, right subtree.
Preorder traversal, on the other hand, is a way of traversing a binary tree where the root node is visited first, followed by the left subtree, and finally the right subtree. This means that the nodes are visited in the order of: root node, left subtree, right subtree.
Here is an example of how to perform inorder and preorder traversal on a binary tree in Python:
```
# Define a binary tree node
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
# Define a function to perform inorder traversal
def inorder_traversal(root):
if root is None:
return
inorder_traversal(root.left)
print(root.value)
inorder_traversal(root.right)
# Define a function to perform preorder traversal
def preorder_traversal(root):
if root is None:
return
print(root.value)
preorder_traversal(root.left)
preorder_traversal(root.right)
# Create a binary tree
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
root.left.right = Node(5)
root.right.left = Node(6)
root.right.right = Node(7)
# Perform inorder traversal
inorder_traversal(root)
# Output: 4 2 5 1 3 6 7
# Perform preorder traversal
preorder_traversal(root)
# Output: 1 2
==================================
System: Provide answers in JavaScript
User: Write a function that computes the set of sums of all contiguous sublists of a given list.
> Assistant: function contiguousSublistSums(list) {
let sums = [];
for (let i = 0; i < list.length; i++) {
let sum = 0;
for (let j = i; j < list.length; j++) {
sum += list[j];
sums.push(sum);
}
}
return sums;
}
==================================
CodeLLama-34b-Instruction
torchrun --nproc_per_node 4 example_instructions.py --ckpt_dir CodeLlama-34b-Instruct/ --tokenizer_path CodeLlama-34b-Instruct/tokenizer.model
Loaded in 67.10 seconds
User: In Bash, how do I list all text files in the current directory (excluding subdirectories) that have been modified in the last month?
> Assistant: You can use the `find` command with the `-maxdepth` option to list all text files in the current directory (excluding subdirectories) that have been modified in the last month. The `-maxdepth` option specifies the maximum depth of the directory tree to search.
Here's an example command:
```
find . -maxdepth 1 -type f -mtime -30 -name '*.txt'
```
Here's how the command works:
* `.` specifies the current directory.
* `-maxdepth 1` specifies that the search should only go down one level in the directory tree.
* `-type f` specifies that only files should be searched.
* `-mtime -30` specifies that only files modified in the last 30 days should be listed.
* `-name '*.txt'` specifies that only files with the `.txt` extension should be listed.
This command will list all text files in the current directory that have been modified in the last month.
==================================
User: What is the difference between inorder and preorder traversal? Give an example in Python.
> Assistant: Inorder and preorder traversal are two types of traversals that can be performed on a binary tree.
Inorder traversal visits the nodes in the following order:
1. Left subtree
2. Root node
3. Right subtree
Preorder traversal visits the nodes in the following order:
1. Root node
2. Left subtree
3. Right subtree
Here is an example of inorder and preorder traversal in Python:
```
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def inorder(node):
if node is not None:
inorder(node.left)
print(node.value)
inorder(node.right)
def preorder(node):
if node is not None:
print(node.value)
preorder(node.left)
preorder(node.right)
# Example usage
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
root.left.right = Node(5)
root.right.left = Node(6)
root.right.right = Node(7)
inorder(root)
# Output: 4 2 5 1 6 3 7
preorder(root)
# Output: 1 2 4 5 3 6 7
```
In this example, the `inorder` function visits the nodes in the following order:
1. The left subtree (4 2 5)
2. The root node (1)
3. The right subtree (6 3 7)
The `preorder` function visits the nodes in the following order:
1. The root node (1)
2. The left subtree (2 4 5)
3. The right subtree (3 6 7)
Note that the order of the nodes visited is different between the two traversals.
==================================
System: Provide answers in JavaScript
User: Write a function that computes the set of sums of all contiguous sublists of a given list.
> Assistant: Here is a function that computes the set of sums of all contiguous sublists of a given list in JavaScript:
```
function contiguousSums(list) {
const sums = [];
for (let i = 0; i < list.length; i++) {
let sum = 0;
for (let j = i; j < list.length; j++) {
sum += list[j];
if (sums.indexOf(sum) === -1) {
sums.push(sum);
}
}
}
return sums;
}
```
This function uses two nested loops to iterate over the elements of the list. The outer loop iterates over the elements of the list, and the inner loop iterates over the contiguous sublists of the list starting from the current element. For each contiguous sublist, the function computes the sum of its elements and adds it to the `sums` array if it is not already present in the array.
For example, if the input list is `[1, 2, 3, 4, 5]`, the function will return the array `[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]`. This array contains all the possible sums of contiguous sublists of the input list.
So, I tried everything. I believe it ran successfully since there were no errors. I think the 34B model is somewhat easier to execute since the 70B worked, meaning some requirements might be more relaxed.