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Llamafile Alternatives
Similar projects and alternatives to llamafile
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FLiPStackWeekly
FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
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jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
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ollama-webui
Discontinued ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
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ok-robot
An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.
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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
llamafile discussion
llamafile reviews and mentions
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Llama.cpp guide – Running LLMs locally on any hardware, from scratch
You might also try https://github.com/Mozilla-Ocho/llamafile , which may have better CPU-only performance than ollama. It does require you to grab .gguf files yourself (unless you use one of their prebuilts in which case it comes with the binary!), but with that done it's really easy to use and has decent performance.
For reference, this is how I run it:
$ cat ~/.config/systemd/user/[email protected]
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6 Easy Ways to Run LLM Locally + Alpha
https://github.com/Mozilla-Ocho/llamafile support OS: Windows, Linux, MacOS Llamafile is an innovative project that allows for easy distribution and execution of large language models as a single file. It supports both CPU and GPU execution, making AI LLMs more accessible to end-users. Llamafile is designed to be user-friendly and efficient, with recent updates focusing on performance optimizations for various hardware architectures. It also includes a built-in server for handling requests and integrates well with other AI tools and frameworks
- Everything I've learned so far about running local LLMs
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Ask HN: Why is AI/LLMs so hard to install? Where's the one click installers?
Llamafile literally one file
https://github.com/Mozilla-Ocho/llamafile
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Run Llama locally with only PyTorch on CPU
> then I recommend https://github.com/Mozilla-Ocho/llamafile which ships as a single file with no dependencies and runs on CPU with great performance. Like, such great performance that I've mostly given up on GPU for LLMs. It was a game changer.
First time that I have a "it just works" experience with LLMs on my computer. Amazing. Thanks for the recommendation!
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The Fastest Mutexes
Mozilla has a project called Llamafile (https://github.com/Mozilla-Ocho/llamafile) that's based on Cosmopolitan libc. And they do regularly publish popular models repackaged in that format on Hugging Face: https://huggingface.co/models?search=llamafile.
Whether that in turn has any practical use beyond quickly trying out small models is another question.
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Ask HN: How can I experiment with LLMs with a old machine?
Make yourself comfortable with
https://blogs.oracle.com/database/post/freedom-to-build-anno...
https://gist.github.com/rssnyder/51e3cfedd730e7dd5f4a816143b...
https://www.reddit.com/r/oraclecloud/
or any other offer.
Deploy some minimal Linux on them, or use what's offered.
Plus optionally, if you don't want to instantly start coding from first principles/scratch, make use of established and excellent solutions, like
https://future.mozilla.org/builders/news_insights/introducin...
https://ai-guide.future.mozilla.org/content/running-llms-loc...
https://github.com/mozilla-Ocho/llamafile
https://justine.lol/matmul/
and parallelize them with
https://github.com/b4rtaz/distributed-llama
Obviously this needs some knowledge of the command line, so get a good terminal emulator like
https://iterm2.com/
Mend, bend, rend that stuff and see what works how and why, and what not.
Maybe with optional help from
https://justine.lol/blinkenlights/
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Forget ChatGPT: why researchers now run small AIs on their laptops
I'll play around with it some more later. I was running llava-v1.5-7b-q4.llamafile which is the example that they recommend trying first at https://github.com/Mozilla-Ocho/llamafile
Groq looks interesting and might be a better option for me.
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Speech Dictation Mode for Emacs
To run text-to-speech on my laptop, I've been using Justine Tunney's downloadable single executable Whisper file.
I use it transcribe audio then copy into an LLM to get notes on whatever it is. Helps me decide to watch or listen to something and saves a bunch of time.
Her tweet: https://x.com/JustineTunney/status/1825551821857010143
Instructions from Simon Willison: https://simonwillison.net/2024/Aug/19/whisperfile/
Command line options: https://github.com/Mozilla-Ocho/llamafile/issues/544#issueco...
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The 6 Best LLM Tools To Run Models Locally
Llamafile is backed by Mozilla whose aim is to support and make open source AI accessible to everyone using a fast CPU inference with no network access. It converts LLMs into multi-platform Executable Linkable Format (ELF). It provides one of the best options to integrate AI into applications by allowing you to run LLMs with just a single executable file.
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A note from our sponsor - CodeRabbit
coderabbit.ai | 10 Dec 2024
Stats
Mozilla-Ocho/llamafile is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of llamafile is C++.