llamafile
gemma.cpp
llamafile | gemma.cpp | |
---|---|---|
38 | 8 | |
16,040 | 5,600 | |
14.2% | 2.2% | |
9.6 | 9.3 | |
7 days ago | 7 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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llamafile
- FLaNK-AIM Weekly 06 May 2024
- llamafile v0.8
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Mistral AI Launches New 8x22B Moe Model
I think the llamafile[0] system works the best. Binary works on the command line or launches a mini webserver. Llamafile offers builds of Mixtral-8x7B-Instruct, so presumably they may package this one up as well (potentially a quantized format).
You would have to confirm with someone deeper in the ecosystem, but I think you should be able to run this new model as is against a llamafile?
[0] https://github.com/Mozilla-Ocho/llamafile
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Apple Explores Home Robotics as Potential 'Next Big Thing'
Thermostats: https://www.sinopetech.com/en/products/thermostat/
I haven't tried running a local text-to-speech engine backed by an LLM to control Home Assistant. Maybe someone is working on this already?
TTS: https://github.com/SYSTRAN/faster-whisper
LLM: https://github.com/Mozilla-Ocho/llamafile/releases
LLM: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-D...
It would take some tweaking to get the voice commands working correctly.
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LLaMA Now Goes Faster on CPUs
While I did not succeed in making the matmul code from https://github.com/Mozilla-Ocho/llamafile/blob/main/llamafil... work in isolation, I compared eigen, openblas, and mkl: https://gist.github.com/Dobiasd/e664c681c4a7933ef5d2df7caa87...
In this (very primitive!) benchmark, MKL was a bit better than eigen (~10%) on my machine (i5-6600).
Since the article https://justine.lol/matmul/ compared the new kernels with MLK, we can (by transitivity) compare the new kernels with Eigen this way, at least very roughly for this one use-case.
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Llamafile 0.7 Brings AVX-512 Support: 10x Faster Prompt Eval Times for AMD Zen 4
Yes, they're just ZIP files that also happen to be actually portable executables.
https://github.com/Mozilla-Ocho/llamafile?tab=readme-ov-file...
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Show HN: I made an app to use local AI as daily driver
have you seen llamafile[0]?
[0] https://github.com/Mozilla-Ocho/llamafile
- FLaNK Stack 26 February 2024
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Gemma.cpp: lightweight, standalone C++ inference engine for Gemma models
llama.cpp has integrated gemma support. So you can use llamafile for this. It is a standalone executable that is portable across most popular OSes.
https://github.com/Mozilla-Ocho/llamafile/releases
So, download the executable from the releases page under assets. You want either just main or just server. Don't get the huge ones with the model inlined in the file. The executable is about 30MB in size,
https://github.com/Mozilla-Ocho/llamafile/releases/download/...
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Ollama releases OpenAI API compatibility
The improvements in ease of use for locally hosting LLMs over the last few months have been amazing. I was ranting about how easy https://github.com/Mozilla-Ocho/llamafile is just a few hours ago [1]. Now I'm torn as to which one to use :)
1: Quite literally hours ago: https://euri.ca/blog/2024-llm-self-hosting-is-easy-now/
gemma.cpp
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LLaMA Now Goes Faster on CPUs
For C++, also check out our https://github.com/google/gemma.cpp/blob/main/gemma.cc, which has direct calls to MatVec.
- FLaNK Stack 26 February 2024
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Gemma.cpp: lightweight, standalone C++ inference engine for Gemma models
Looks like they're working on it: https://github.com/google/gemma.cpp/issues/16
- Source code of Google Gemma model in C++
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Gemma: New Open Models
They have implemented the model also on their own C++ inference engine: https://github.com/google/gemma.cpp
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
gemma_pytorch - The official PyTorch implementation of Google's Gemma models
langchain - 🦜🔗 Build context-aware reasoning applications
gemma - Open weights LLM from Google DeepMind.
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
xpk - xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.
llama.cpp - LLM inference in C/C++
htmx - </> htmx - high power tools for HTML
safetensors - Simple, safe way to store and distribute tensors
plantuml - Generate diagrams from textual description