codeium.el
llama.cpp
codeium.el | llama.cpp | |
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6 | 773 | |
388 | 57,463 | |
5.7% | - | |
7.3 | 10.0 | |
1 day ago | about 3 hours ago | |
Emacs Lisp | C++ | |
MIT License | MIT License |
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codeium.el
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
Codeium — Codeium is a free AI-powered code completion tool. It supports over 20+ programming languages (Python, JavaScript, Java, TypeScript, PHP, C/C++, Go, etc.) and integrates with all significant standalone and web IDEs.
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GitHub announces a bunch of new GPT-4 powered coding assistants. What should and could Emacs and open-source community do?
It's perhaps worth mentioning Codeium which works in the same space and there's Emacs support.
- codeium.el: Free, ultrafast Copilot alternative for Emacs
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Show HN: Neovim Plugin for ChatGPT
this is really cool and well done. i will start using it in conjunction with Codeium's plugin (free Copilot alternative): https://github.com/Exafunction/codeium.vim
for transparency: I'm from the Codeium team, and we are big fans of getting this AI gen tech to all developers on all IDEs for free - we've also open sourced an emacs plugin: https://github.com/Exafunction/codeium.el
- Emacs extension for free Copilot-like AI autocomplete
llama.cpp
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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
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
copilot.el - An unofficial Copilot plugin for Emacs.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
gptai - OpenAI API toolings for emacs. Allows interacting with various GPT and DALL-E Models directly in emacs
gpt4all - gpt4all: run open-source LLMs anywhere
ChatGPT.el - ChatGPT in Emacs
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
codeium.vim - Free, ultrafast Copilot alternative for Vim and Neovim
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
CodeGPT.nvim - CodeGPT is a plugin for neovim that provides commands to interact with ChatGPT.
ggml - Tensor library for machine learning
chat_waitlist_signup
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM