maid
llama.cpp
| maid | llama.cpp | |
|---|---|---|
| 5 | 780 | |
| 801 | 57,984 | |
| 33.8% | - | |
| 9.9 | 10.0 | |
| 5 days ago | 5 days ago | |
| Dart | C++ | |
| MIT License | MIT License |
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maid
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Phi-3 Technical a Highly Capable Language Model Locally on Your Phone
I've been trying this app but haven't had any luck getting it to actually generate text yet:
https://github.com/Mobile-Artificial-Intelligence/maid
The UI looks nice and includes a native compilation of llama.cpp.
My main phone's screen broke so I'm on an old Pixel 4 until it's repaired but I've had no luck getting 2-3GB models to run so far.
- Maid: Cross-platform multi-API (local or remote) AI chat
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Running Wizard 7b (Q2) on an 8gb Android Phone
Try this: https://github.com/MaidFoundation/maid
- Mixtral 8x7B is a scaled-down GPT-4
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Ai on a android phone?
This one uses cpu it makes less heat: https://github.com/MaidFoundation/maid
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?
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
gpt4all - gpt4all: run open-source LLMs anywhere
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
safetensors - Simple, safe way to store and distribute tensors
AutoGPT - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.