LLaMA-Factory
qsv
LLaMA-Factory | qsv | |
---|---|---|
3 | 13 | |
21,791 | 2,241 | |
- | - | |
9.9 | 9.9 | |
1 day ago | 3 days ago | |
Python | Rust | |
Apache License 2.0 | The Unlicense |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LLaMA-Factory
- FLaNK-AIM Weekly 06 May 2024
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Show HN: GPU Prices on eBay
Depends what model you want to train, and how well you want your computer to keep working while you're doing it.
If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.
You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.
Spend a bit more and you'll probably have a better time.
[1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...
- FLaNK Weekly 31 December 2023
qsv
- FLaNK Weekly 31 December 2023
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Qsv: Efficient CSV CLI Toolkit
Thanks for the detailed feedback @snidane!
As maintainer of qsv, here's my reply:
- Given qsv's rapid release cycle (173 releases over three years), the auto-update check is essential at the moment. Once we reach 1.0, I'll turn it off. For now, given your feedback, I've only made it check 10% of the time.
- Pivot is in the backlog and I'll be sure to add unpivot when I implement it. (https://github.com/jqnatividad/qsv/issues/799)
- I'll add a dedicated summing command with the group by (-by) and window by (-over) capability (https://github.com/jqnatividad/qsv/issues/1514). Do note that `stats` has basic sum as @ezequiel-garzon pointed out.
- With the `enum` command, qsv can achieve what you proposed with `laminate`. E.g. qsv enum --new-column newcol --constant newconstant mydata.csv --output laminated-data.csv
- With the cat rowskey command, qsv can already concatenate files with mismatched headers.
- other file formats. qsv supports parquet, csv, tsv, excel, ods, datapackage, sqlite and more (see https://github.com/jqnatividad/qsv/tree/master#file-formats). Fixed-format though is not supported yet and quite interesting, and have added it to the backlog (https://github.com/jqnatividad/qsv/issues/1515)
- as to "enable embedding outputs of commands", qsv is composable by design, so you can use standard stdin/stdout redirection/piping techniques to have it work with other CLI tools like jq, awk, etc.
Finally, just released v0.120.0 that already incorporates the less aggressive self-update check. https://github.com/jqnatividad/qsv/releases/tag/0.120.0
- Joining CSV Data Without SQL: An IP Geolocation Use Case
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Why my favourite API is a zipfile on the European Central Bank's website
qsv [1] also has a sqlp command which lets you run Polars SQL queries (even on multiple files). Here I'll send the csv data from stdin (represented by -) and then (optionally) pipe the output to the table command for formatting. The shape of the result is also printed to stderr (the (4, 2) below).
[1] https://github.com/jqnatividad/qsv
$ echo 'Name,Department,Salary
- Qsv: Ultra-fast CSV data-wrangling toolkit
- Qsv: CSVs sliced, diced and analyzed (fork of xsv)
- Nushell.sh ls – where size > 10mb – –sort-by modified
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Do Rust and Lua work well together?
It works quite well IMHO. Using the mlua crate, I’ve managed to integrate Luau as a very powerful data-wrangling DSL for qsv (https://github.com/jqnatividad/qsv)
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How manipulate this CSV in Python?
Maybe this might be better done using this? https://github.com/jqnatividad/qsv
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How to convert xslx to csv using Rust?
https://github.com/jqnatividad/qsv is another option.
What are some alternatives?
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
calamine - A pure Rust Excel/OpenDocument SpreadSheets file reader: rust on metal sheets
machinascript-for-robots - Build LLM-powered robots in your garage with MachinaScript For Robots!
fortune-sheet - A drop-in javascript spreadsheet library that provides rich features like Excel and Google Sheets
efficient-kan - An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
generative-ai-python - The Gemini API Python SDK enables developers to use Google's state-of-the-art generative AI models to build AI-powered features and applications.
csvquote
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
goawk - A POSIX-compliant AWK interpreter written in Go, with CSV support