gp.nvim
ollama
| gp.nvim | ollama | |
|---|---|---|
| 5 | 206 | |
| 473 | 64,536 | |
| - | 21.5% | |
| 9.4 | 9.9 | |
| 29 days ago | 4 days ago | |
| Lua | Go | |
| MIT License | 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.
gp.nvim
- Gp.nvim: Neovim plugin ChatGPT text/code operations and Speech to text
- Emacs-copilot: Large language model code completion for Emacs
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LLMs are a revolution in open source
Here's one example: Today I used GPT-4 to write documentation for a Neovim plugin: https://github.com/Robitx/gp.nvim/pull/72/files
It may be a fancy Markov chain, but it seems to have understood the code it documented.
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ggVG+command or have dedicated commands for whole buffer?
Update: Solved thanks to the u/geckothegeek42 nudge in the right direction.
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gp.nvim - yet another plugin integrating GPT with OpenAI API into neovim
Long story short - I didn't like available options, tried forking and bending, but eventually made one from scratch under MIT license => https://github.com/Robitx/gp.nvim
ollama
- Ollama v0.1.34 Is Out
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Ask HN: What do you use local LLMs for?
- Basic internet search (I start ollama CLI faster than I can start a browser - https://ollama.com)
- Formatting/changing text
- Troubleshooting code, esp. new frameworks/libs
- Recipes
- Data entry
- Organizing thoughts: High-level lists, comparison, classification, synonyms, jargon & nomenclature
- Learning esp. by analogy and example
RAG for:
- Website assistants (https://github.com/bennyschmidt/ragdoll-studio/tree/master/e...)
- Game NPCs (https://github.com/bennyschmidt/ragdoll-studio/tree/master/e...)
- Discord/Slack/forum bots (https://github.com/bennyschmidt/ragdoll-studio/tree/master/e...)
- Character-driven storytelling and creating art in a specific style for video game loading screens, background images, avatars, website art, etc. (https://github.com/bennyschmidt/ragdoll-studio/tree/master/r...)
- FLaNK-AIM Weekly 06 May 2024
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Introducing Jan
Jan goes a step further by integrating with other local engines like LM Studio and ollama.
- Ollama v0.1.33
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
# install the Ollama curl -fsSL https://ollama.com/install.sh | sh # get the llama3 model ollama pull llama2 # install the MLFlow pip install mlflow
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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
Ollama for running LLMs locally
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Setup Llama 3 using Ollama and Open-WebUI
curl -fsSL https://ollama.com/install.sh | sh
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Ollama v0.1.33 with Llama 3, Phi 3, and Qwen 110B
Streaming is not a problem (it's just a simple flag: https://github.com/wiktor-k/llama-chat/blob/main/index.ts#L2...) but I've never used voice input.
The examples show image input though: https://github.com/ollama/ollama/blob/main/docs/api.md#reque...
Maybe you can file an issue here: https://github.com/ollama/ollama/issues
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I Said Goodbye to ChatGPT and Hello to Llama 3 on Open WebUI - You Should Too
I’m a huge fan of open source models, especially the newly release Llama 3. Because of the performance of both the large 70B Llama 3 model as well as the smaller and self-host-able 8B Llama 3, I’ve actually cancelled my ChatGPT subscription in favor of Open WebUI, a self-hostable ChatGPT-like UI that allows you to use Ollama and other AI providers while keeping your chat history, prompts, and other data locally on any computer you control.
What are some alternatives?
neoai.nvim - Neovim plugin for intracting with GPT models from OpenAI
llama.cpp - LLM inference in C/C++
chatgpt - Use ChatGPT inside Emacs
gpt4all - gpt4all: run open-source LLMs anywhere
emacs-copilot - Large language model code completion for Emacs
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
gen.nvim - Neovim plugin to generate text using LLMs with customizable prompts
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
cmp-clippy - nvim-cmp source for code suggestion
llama - Inference code for Llama models
nvim-config - My neovim config
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.