LLMs | 中文大语言模型：Chinese-LLaMA基座模型，大模型预训练、指令微调和RLHF，以及数据集构造 | Data Manipulation library

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kandi X-RAY | LLMs Summary

LLMs is a Python library typically used in Utilities, Data Manipulation applications. LLMs has no bugs, it has no vulnerabilities and it has low support. However LLMs build file is not available. You can download it from GitHub.

参考论文“A General Language Assistant as a Laboratory for Alignment”，用作特殊字符效果好一些。. subprocess.CalledProcessError: Command '['which', 'c++']' returned non-zero exit status 1. wandb.errors.UsageError: api_key not configured (no-tty). #wandb login 根据提示获取api key注册一下即可. wandb使用问题，退出后再进入要：$ wandb login --relogin. Calling torch.distributed.barrier() results in the program being killed. huggingface/tokenizers: The current process just got forked, after parallelism has already been used. 2982929829一个不可能出现的数字，index缓存文件名字名字重复，加入子进程的global rank, loacl rank命名，已解决。. wandb: ERROR Run initialization has timed out after 60.0 sec. OSError: [Errno 122] Disk quota exceeded. 1. checkpoints先保存在/hpc_data/pangwei/ 【因为写权限问题，先保存该目录下】，速度变慢，10分钟加载模型文件；2. 保留当前三个checkpoints；3. 保存历史上最好的一个checkpoint，根据验证集上的perplexity指标。checkpoints分为三种，后缀分别为：norm_{steps}, bestppl_{steps}, final_{steps}。. 支持四类不同数据集，每一类可以任意多：--train_pt_data_path []--eval_pt_data_path []--train_sft_data_path []--eval_sft_data_path []预训练数据集，后缀：训练集pt_train.jsonl, 验证集 pt_eval.jsonl;指令微调数据集，后缀：训练集 sft_train.jsonl, 验证集 sft_eval.jsonl。. 1）保存 checkpoint 元信息，包括epoch, global step, optimizer,checkpoints file name；2）resume 继续训练，断点重新训练。. 缓存空间溢满OSError: [Errno 28] No space left on device:'/tmp/data_files'. 60W条SFT数据集*Total tokens for pre-training: 0Total tokens for sft: 51166867*Total tokens: 51166867. RuntimeError: Too many open files. Communication with the workers is no longer possible. Please increase the limit using ulimit -n in the shell or change the sharing strategy by calling torch.multiprocessing.set_sharing_strategy('file_system') at the beginning of your code. torch.cuda.OutOfMemoryError:CUDA out of memory. 在epoch 循环的内部，进行了 evaluation()，evaluation设置了model.eval()模式, 但是退出evaluation再次进入 epoch 循环时，没有设置model.train()模式。. 下一个文件使用了前一个文件的索引d_path:f_identity_qa_cn_re.json, train_dataset_size:198991, eval_dataset:1009d_path:f_multiturn_cn_69k.json, train_dataset_size:69318, eval_dataset:336d_path:f_ver_qa_cn_28k.json, train_dataset_size:28140, eval_dataset:166. OSError: [Errno 122] Disk quota exceeded. root@master:~# quota -uvs user_nameDisk quotas for user user_name (uid 1006):Filesystem space quota limit grace files quota limit grace/dev/sda1 2862G* 2852G 2862G 6days 96582 2900k 3000k. 1. gnode03机器：@master:~/$ tail -f training.log3% 32285/1087101 [01:29<48:05, 365.57it/s]2.gnode04机器：@master:~/$ tail -f training.log6% 63310/1087101 [02:53<45:11, 377.51it/s]$3.gnode06机器:@master:~/$ tail -f training.log19% 211851/1087101 [03:36<15:01, 970.99it/s]. pyarrow.lib.ArrowCapacityError: array cannot contain more than 2147483646 bytes, have 2572789185. from datasets import load_dataset.

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Support

LLMs has a low active ecosystem.

It has 38 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LLMs is current.

Quality

LLMs has no bugs reported.

Security

LLMs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LLMs does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

LLMs releases are not available. You will need to build from source code and install.

LLMs has no build file. You will be need to create the build yourself to build the component from source.

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LLMs Key Features

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LLMs Examples and Code Snippets

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Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install LLMs

You can download it from GitHub.
You can use LLMs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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