CompostSortingHatAI
llamafile
| CompostSortingHatAI | llamafile | |
|---|---|---|
| 1 | 39 | |
| 4 | 16,225 | |
| - | 15.2% | |
| 6.9 | 9.7 | |
| 6 months ago | 7 days ago | |
| TypeScript | C++ | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CompostSortingHatAI
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Show HN: I Remade the Fake Google Gemini Demo, Except Using GPT-4 and It's Real
https://github.com/n8fr8/CompostSortingHatAI
You can see a realtime, unedited YouTube demo video of my kid testing it out here: https://www.youtube.com/watch?v=-9Ya5rLj64Q
llamafile
- Llamafile 0.8.6 CPU Benchmark
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Ask HN: Which LLMs can run locally on most consumer computers
See https://github.com/Mozilla-Ocho/llamafile, a standalone packaging of llama.cpp that runs an LLM locally. It will use the GPU, but it also falls back on the CPU. CPU performance of small, quantized models is still pretty decent, and the page has estimated memory requirements for different models.
- Llamafile 0.8.2 Release with Embedding Subcmd in CLI and Performance Boost
- 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
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
langchain - 🦜🔗 Build context-aware reasoning applications
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
safetensors - Simple, safe way to store and distribute tensors
llama.cpp - LLM inference in C/C++
LocalAIVoiceChat - Local AI talk with a custom voice based on Zephyr 7B model. Uses RealtimeSTT with faster_whisper for transcription and RealtimeTTS with Coqui XTTS for synthesis.
chatgpt-web - ChatGPT web interface using the OpenAI API
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
llamafile-docker - Simple llamafile setup with docker
gemma.cpp - lightweight, standalone C++ inference engine for Google's Gemma models.
Cgml - GPU-targeted vendor-agnostic AI library for Windows, and Mistral model implementation.