yobulkdev
FlexGen
yobulkdev | FlexGen | |
---|---|---|
20 | 39 | |
850 | 9,007 | |
0.6% | 0.8% | |
6.7 | 3.0 | |
9 months ago | 16 days ago | |
JavaScript | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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yobulkdev
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YoBulk : Free & Open Source CSV uploader (React SDK) => upload upto 1 Million rows < 10 seconds
Here is the technical details : https://github.com/yobulkdev/yobulkdev/tree/main/pages/api/upload
- Uploading CSV with 1 Million rows to backend within 10 seconds
- How to upload 1 million records to Mongo using javascript.
- How to insert 1 million records to database using node-js streams.
- How Nextjs based webapp helped me inserting 1M records into backend in just seconds!
- Uploading CSV with 1 Million rows to MongoDB within 10 seconds
- Uploading CSV with 1M rows to backend in 10 seconds
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Show HN: YoBulk AI β open-source React SDK for data cleansing
Hey Everyone,
We are excited to show YoBulk AI https://github.com/yobulkdev/yobulkdev an open source alternative react SDK for data cleansing (CSVs).
CSV files are the most common data format for storing and exchanging data. They are often used in SaaS (Software as a Service) tools for data management, such as CRM (Customer Relationship Management) systems, marketing automation platforms, and data analytics software.
- FLiPN-FLaNK Stack Weekly 27Feb2023
- Show HN: YoBulk β Open Source GPT powered CSV importer
FlexGen
- Run 70B LLM Inference on a Single 4GB GPU with This New Technique
- Colorful Custom RTX 4060 Ti GPU Clocks Outed, 8 GB VRAM Confirmed
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Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- FlexGen: Running large language models on a single GPU
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Show HN: Finetune LLaMA-7B on commodity GPUs using your own text
> With no real knowledge of LLM and only recently started to understand what LLM terms mean, such as 'model, inference, LLM model, intruction set, fine tuning' whatelse do you think is required to make a took like yours?
This was mee a few weeks ago. I got interested in all this when FlexGen (https://github.com/FMInference/FlexGen) was announced, which allowed to run inference using OPT model on consumer hardware. I'm an avid user of Stable Diffusion, and I wanted to see if I can have an SD equivalent of ChatGPT.
Not understanding the details of hyperparameters or terminology, I basically asked ChatGPT to explain to me what these things are:
Explain to someone who is a software engineer with limited knowledge of ML terms or linear algebra, what is "feed forward" and "self-attention" in the context of ML and large language models. Provide examples when possible.
- Could this new flexgen be used in place of GPTq? or is this different?
- OpenAI is expensive
What are some alternatives?
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
llama - Inference code for Llama models
motion-canvas - Visualize Your Ideas With Code
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
OpenRefine - OpenRefine is a free, open source power tool for working with messy data and improving it
text-generation-inference - Large Language Model Text Generation Inference
autocomplete - IDE-style autocomplete for your existing terminal & shell
whisper.cpp - Port of OpenAI's Whisper model in C/C++
yoembed-react-sdk
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
yoembed-sample-react-app