gcc_termux
llama.cpp
| gcc_termux | llama.cpp | |
|---|---|---|
| 24 | 782 | |
| 451 | 58,425 | |
| - | - | |
| 0.0 | 10.0 | |
| 6 months ago | 6 days ago | |
| C | C++ | |
| - | MIT License |
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gcc_termux
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Local LLaMa on Android phone
I'm attempting this on a Pixel 3. I'm going to try the instructions in the gcc-termux README.md
- Plz help Fortran 77 Compiler for compiling non-linear solver
- Ocrmypdf stopped working in termux with python 3.10
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Itspointless octave & r incomplete
You can also compile it by yourself following the guidance here: https://github.com/its-pointless/gcc_termux/issues/135
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Soo I solved the PEP 517 problem but this is the thing now...
Did you add the It's Pointless repo?
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Installing Gcc
Add It's Pointless
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Has anyone been able to get R working on termux recently?
The right link is https://github.com/its-pointless/gcc_termux.
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[Help needed]Error when installing gevent using pip
This said, most compilation issues can be fixed by adding It's Pointless Repo, install libgfortran5 and issue a setupclang-gfort-11 and try again.
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Programming ruby on rails on android (termux + Ubuntu)
If not found, install It's Pointless repo and try again.
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What provides libgcc_s.so.1?
gcc from It's Pointless repo
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?
proot-distro - An utility for managing installations of the Linux distributions in Termux.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
rtl_433 - Program to decode radio transmissions from devices on the ISM bands (and other frequencies)
gpt4all - gpt4all: run open-source LLMs anywhere
dsd - Digital Speech Decoder
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
vlc-pause-click-plugin - Plugin for VLC that pauses/plays video on mouse click
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
micropython-ulab - a numpy-like fast vector module for micropython, circuitpython, and their derivatives
ggml - Tensor library for machine learning
glcontext - connects moderngl to your window or create headless contexts :electric_plug:
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM