Chat2DB
llama.cpp
Chat2DB | llama.cpp | |
---|---|---|
5 | 780 | |
13,752 | 57,984 | |
13.7% | - | |
9.9 | 10.0 | |
3 days ago | 5 days ago | |
Java | 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.
Chat2DB
- LLMs and SQL
- AI-driven data management platform
- Show HN: AI-driven data development and analysis platform
- FLaNK Stack Weekly 12 February 2024
-
🪸6 Text2SQL Tools to Write Stunning SQL for you ☄️
Chat2DB aims to be a general-purpose SQL client and reporting tool that incorporates AI capabilities from the start. It supports connection to a handful of databases including MySQL, Postgres, Oracle, SQL Server, SQLite, ClickHouse and more.
llama.cpp
-
IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
-
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
-
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
-
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
-
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
What are some alternatives?
ali-dbhub - 已迁移新仓库,此版本将不再维护
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
gpt4all - gpt4all: run open-source LLMs anywhere
electric - Local-first sync layer for web and mobile apps. Build reactive, realtime, local-first apps directly on Postgres.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
openai-java - OpenAI Api Client in Java
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
vanna - 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
ggml - Tensor library for machine learning
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM