LLMstudio
ollama
| LLMstudio | ollama | |
|---|---|---|
| 1 | 224 | |
| 217 | 72,781 | |
| 5.1% | 14.0% | |
| 9.2 | 9.9 | |
| 5 days ago | about 22 hours ago | |
| TypeScript | Go | |
| Mozilla Public License 2.0 | MIT License |
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.
LLMstudio
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Mixtral: Mixture of Experts
Lmstudio (that they linked) is definitely not open source, and doesn't even offer a pricing model for business use.
Llmstudio is, but I suspect that was a typo in their comment. https://github.com/TensorOpsAI/LLMStudio
ollama
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Ollama 0.1.42
`file://*` URLs are now allowed => ollama works with simple html files now
https://github.com/ollama/ollama/commit/1a29e9a879433fc55cf1...
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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.
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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
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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.
- 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?
CogVLM - a state-of-the-art-level open visual language model | 多模态预训练模型
llama.cpp - LLM inference in C/C++
gpt4all - gpt4all: run open-source LLMs anywhere
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
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.
llama - Inference code for Llama models
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
text-generation-inference - Large Language Model Text Generation Inference
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.