coral-pi-rest-server
vanilla-llama
| coral-pi-rest-server | vanilla-llama | |
|---|---|---|
| 44 | 3 | |
| 66 | 179 | |
| - | - | |
| 0.0 | 4.8 | |
| 7 months ago | 12 months ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 only |
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coral-pi-rest-server
- BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard
- Do you recommend Orange PI for ML or LLM projects?
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Framework for machine learning?
That said, you can always look at something like https://coral.ai/products/accelerator/ to help with the performance you need.
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Mini PC for AI
Should only be ~$60 https://coral.ai/products/accelerator/
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What are some USB devices worth using in a Home Lab Environment?
The Coral USB accelerator might be of interest if you want to do some light ML with a low power budget.
- Is a PCIe x1 enough for light ML tasks
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Would I be able to run ggml models such as whisper.cpp or llama.cpp on a raspberry pi with a coral ai USB Accelerator?
However, a pi doesn't have the strength to run something like Llama.cpp, of course, so I've been considering using something like the Coral USB Accelerator (https://coral.ai/products/accelerator). As I've been learning more about it, it seems to be very geared towards TensorFlow Lite models. But whisper.cpp and Llama.cpp use ggml models.
- Looking for a Mini PC for Home Assistant and Frigate.
- AI development suite on a stick?
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Modder wires ChatGPT into Skyrim VR so NPCs can roleplay and remember past conversations
Recently found this thing, though I haven't found a use case for me.
vanilla-llama
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How to extract vector embeddings from passages analyzed with LLaMA
I shouldn't have any trouble with the second step, but I'm not sure how to get started on the first one. I found a Python package for interfacing with LLaMA, but its examples focus on just generating text, and I'm not sure how I would actually get embedding vectors or anything beyond text generation. Ideally, I would like to not even just create embedding vectors but rather directly hook up some new layers to LLaMA for supervised learning.
- Has anyone used LLaMA with a TPU instead of GPU?
- [P] vanilla-llama an hackable plain-pytorch implementation of LLaMA that can be run on any system (if you have enough resources)
What are some alternatives?
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
double-take - Unified UI and API for processing and training images for facial recognition.
LLaMA_MPS - Run LLaMA inference on Apple Silicon GPUs.
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
chat-llama-discord-bot - A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
opentts - Open Text to Speech Server
Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
HASS-coral-rest-api - Coral REST API for HASS
xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
os-nvr
ovos-core - OpenVoiceOS Core, the FOSS Artificial Intelligence platform.