aub.ai
llama.cpp
aub.ai | llama.cpp | |
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5 | 777 | |
148 | 57,463 | |
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7.5 | 10.0 | |
14 days ago | 7 days ago | |
Dart | C++ | |
GNU Affero General Public License v3.0 | MIT License |
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aub.ai
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Ferret: An End-to-End MLLM by Apple
https://github.com/BrutalCoding/aub.ai
For any of your Apple devices, use this:
- My open-source & cross-platform on-device LLMs app is now available on TestFlight & GitHub. Feedback & testers welcome.
- I've open sourced my Flutter plugin to run on-device LLMs on any platform. TestFlight builds available now.
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Introducing Gemini: our largest and most capable AI model
Here’s the Flutter plugin, enabling every developer to do this in their own apps on any platform: https://github.com/BrutalCoding/aub.ai
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Not Everything Is Google's Fault (Just Most Things)
My bad, didn’t notice your comment earlier. Yes it is, here’s the repo: https://github.com/brutalcoding/aub.ai
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?
pixels2flutter - Convert a screenshot to a working Flutter app.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
bark-with-voice-clone - 🔊 Text-prompted Generative Audio Model - With the ability to clone voices
gpt4all - gpt4all: run open-source LLMs anywhere
bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
mlx - MLX: An array framework for Apple silicon
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
autoscaler - Autoscaling components for Kubernetes
ggml - Tensor library for machine learning
web_ffi - Translates dart:ffi calls on the web to WebAssembly using dart:js
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM