window.ai
llama.cpp
window.ai | llama.cpp | |
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7 | 780 | |
716 | 57,984 | |
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8.8 | 10.0 | |
2 months ago | 4 days ago | |
TypeScript | C++ | |
MIT License | MIT License |
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window.ai
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Show HN: I built a free in-browser Llama 3 chatbot powered by WebGPU
Window AI (https://windowai.io/) is an attempt to do something like this with a browser extension.
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GPT-Migrate converts repos from one lang/framework to another
totally agreed that diff projects need to be careful w/ sharing proprietary code w/ third parties.
openai's official stance is that it will never use API calls as training data, and that in my understanding it may retain API call data for up to 30 days for compliance purposes, but that it legally won't store it beyond that (whereas chatgpt convos are meant to be stored and used for training purposes).
as a next step, they could provide a swappable version of the LLM provider using something like https://github.com/imartinez/privateGPT, https://github.com/alexanderatallah/window.ai, etc. would love to have a standard develop here as the community matures around LLM usage
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Releasing local.ai - an LLM local playground with minimal setup
You can actually try out a version of your idea with the sample chat app on windowai.io (will need to grab the extension, the app and the extension work together). In `window.ai` extension, you will want to set the model as `local`, and all call will be routed to `local.ai` for inferencing! <- This enables user of window to test out AI app without incurring any cloud cost :D
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Meet Window AI: A New Way To Use Your Own AI Models On The Web – Including Local Ones
Web: https://windowai.io/
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ChatGPT for Therapy
To make it even more privacy friendly, why not use https://windowai.io to let the user choose which language model to use?
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Isn’t API Unsustainably Expensive?
+1 With Window, the user brings their own AI model and plugs it into the app, so the cost is on the user side, while also giving privacy benefits to the user and removing liabilities for the dev. https://windowai.io/
- Window: Use your own AI models on the web
llama.cpp
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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
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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
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
gpt-migrate - Easily migrate your codebase from one framework or language to another.
gpt4all - gpt4all: run open-source LLMs anywhere
local.ai - 🎒 local.ai - Run AI locally on your PC!
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
ggml - Tensor library for machine learning
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型