BigDL
ollama
BigDL | ollama | |
---|---|---|
5 | 224 | |
6,138 | 71,334 | |
2.9% | 12.2% | |
9.9 | 9.9 | |
4 days ago | 7 days ago | |
Python | Go | |
Apache License 2.0 | MIT License |
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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.
BigDL
- PyTorch Library for Running LLM on Intel CPU and GPU
-
LLaMA Now Goes Faster on CPUs
Any performance benchmark against intel's 'IPEX-LLM'[0] or others?
[0] - https://github.com/intel-analytics/ipex-llm
- BigDL-LLM: running LLM on your laptop using INT4
- Fast, distributed, secure AI for Big Data
-
Machine learning on JVM
Intel BigDL for Spark which again is for Spark.
ollama
-
Ollama 0.1.42
`file://*` URLs are now allowed => ollama works with simple html files now
https://github.com/ollama/ollama/commit/1a29e9a879433fc55cf1...
-
How to setup a free, self-hosted AI model for use with VS Code
This guide assumes you have a supported NVIDIA GPU and have installed Ubuntu 22.04 on the machine that will host the ollama docker image. AMD is now supported with ollama but this guide does not cover this type of setup.
-
beginner guide to fully local RAG on entry-level machines
Nowadays, running powerful LLMs locally is ridiculously easy when using tools such as ollama. Just follow the installation instructions for your #OS. From now on, we'll assume using bash on Ubuntu.
- Codestral: Mistral's Code Model
- AIM Weekly 27 May 2024
-
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.
- Ask HN: Are companies self hosting LLMs?
- Ollama v0.1.39 Pre-release. Support Phi-3 Medium
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Ask HN: Which LLMs can run locally on most consumer computers
I was able to successfully run Llama 3 8B, mistral 7B, phi and other 7B models using Ollama [1] on my M1 MacBook Air.
[1] https://ollama.com
What are some alternatives?
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
llama.cpp - LLM inference in C/C++
Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization
gpt4all - gpt4all: run open-source LLMs anywhere
Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Spire - Powerful new number types and numeric abstractions for Scala.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.
llama - Inference code for Llama models