jan
llamafile
| jan | llamafile | |
|---|---|---|
| 20 | 38 | |
| 19,848 | 16,225 | |
| 11.1% | 15.2% | |
| 10.0 | 9.7 | |
| 3 days ago | 6 days ago | |
| TypeScript | C++ | |
| GNU Affero General Public License v3.0 | 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.
jan
- Jan – Turn your computer into an AI computer
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Devoxx Genie Plugin : an Update
I focused on supporting Ollama, GPT4All, and LMStudio, all of which run smoothly on a Mac computer. Many of these tools are user-friendly wrappers around Llama.cpp, allowing easy model downloads and providing a REST interface to query the available models. Last week, I also added "👋🏼 Jan" support because HuggingFace has endorsed this provider out-of-the-box.
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Ask HN: Which LLMs can run locally on most consumer computers
seconded - IMHO Jan has the cleanest UI and most straightforward setup out of all LLM frontends available now.
https://jan.ai/
https://github.com/janhq/jan
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Introducing Jan
As we continue this blog series, let's explore a fully open-source alternative to LM Studio - Jan, a project from Southeast Asia.
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AI enthusiasm - episode #2🚀
Jan.ai is a 100% local alternative to ChatGPT: you can download LLMs and run them directly from within the application, or even prompting them and retrieving their response via API.
- Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
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Show HN: I made an app to use local AI as daily driver
It would be cool to have the option to use the OpenAI API as well in the same interface. http://jan.ai does this, so that's what I'm using at the moment.
- Jan – Bringing AI to Your Desktop
- FLaNK 15 Jan 2024
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Why the M2 is more advanced that it seemed
Was it this? I haven’t tried it yet but it does look nice.
https://jan.ai/
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?
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
chainlit - Build Conversational AI in minutes ⚡️
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
obsidian-local-llm - Obsidian Local LLM is a plugin for Obsidian that provides access to a powerful neural network, allowing users to generate text in a wide range of styles and formats using a local LLM.
langchain - 🦜🔗 Build context-aware reasoning applications
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
FLaNK-VectorDB - NiFi and Vector Databases
llama.cpp - LLM inference in C/C++
modelfusion-llamacpp-nextjs-starter - Starter examples for using Next.js and the Vercel AI SDK with Llama.cpp and ModelFusion.
safetensors - Simple, safe way to store and distribute tensors