datagen
llama.cpp
| datagen | llama.cpp | |
|---|---|---|
| 7 | 775 | |
| 135 | 57,463 | |
| 3.0% | - | |
| 6.1 | 10.0 | |
| about 2 months ago | 2 days ago | |
| TypeScript | C++ | |
| Apache License 2.0 | MIT License |
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.
datagen
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What are your favorite tools or components in the Kafka ecosystem?
For fake data, shameless plug for https://github.com/MaterializeInc/datagen/tree/main
- What are some good publicly available real-time data sources?
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Simulating Streaming Data for Fraud Detection with Datagen CLI
Building and testing a real-time fraud detection application requires a continuous stream of realistic data. But generating that data can be a challenge. That's why we recently created the Datagen CLI, a simple tool that helps you create believable fake data using the FakerJS API.
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How train my SQL skills with real world data engineering problems ?
Generate fake data with a normalized schema of your choosing with this tool from Materialize, then denormalize it and build a warehouse model.
- FLiPN-FLaNK Stack Weekly for 20 March 2023
- Datagen CLI: Stream Fake Relational Data
llama.cpp
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
What are some alternatives?
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
CloudDemo2023 - 2023 Demos
gpt4all - gpt4all: run open-source LLMs anywhere
halp - A CLI tool to get help with CLI tools 🐙
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
RedfinScraper - Scrapes Redfin data.
ggml - Tensor library for machine learning
cf-url-shortener - URL Shortener Cloudflare function that uses Upstash Redis and Kafka along with https://materialize.com
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM