shady.ai
llama-cpp-python
| shady.ai | llama-cpp-python | |
|---|---|---|
| 1 | 55 | |
| 107 | 6,579 | |
| - | - | |
| 7.6 | 9.8 | |
| 3 months ago | 5 days ago | |
| Dart | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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shady.ai
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The Coming of Local LLMs
I’ve got some of their smaller Raven models running locally on my M1 (only 16GB of RAM).
I’m also in the middle of making it user friendly to run these models on all platforms (built with Flutter). First MacOS release will be out before this weekend: https://github.com/BrutalCoding/shady.ai
llama-cpp-python
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Ollama v0.1.33 with Llama 3, Phi 3, and Qwen 110B
There's a Python binding for llama.cpp which is actively maintained and has worked well for me: https://github.com/abetlen/llama-cpp-python
- FLaNK AI for 11 March 2024
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OpenAI: Memory and New Controls for ChatGPT
I'll share the core bit that took a while to figure out the right format, my main script is a hot mess using embeddings with SentenceTransformer, so I won't share that yet. E.g: last night I did a PR for llama-cpp-python that shows how Phi might be used with JSON only for the author to write almost exactly the same code at pretty much the same time. https://github.com/abetlen/llama-cpp-python/pull/1184
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TinyLlama LLM: A Step-by-Step Guide to Implementing the 1.1B Model on Google Colab
Python Bindings for llama.cpp
- Mistral-8x7B-Chat
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Running Mistral LLM on Apple Silicon Using Apple's MLX Framework Is Much Faster
If the model could be made to work with llama.cpp, then https://github.com/abetlen/llama-cpp-python might be more compact. llama.cpp only supports a limited list of model types though.
- Run ChatGPT-like LLMs on your laptop in 3 lines of code
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Code Llama, a state-of-the-art large language model for coding
https://github.com/abetlen/llama-cpp-python has a web server mode that replicates openai's API iirc and the readme shows it has docker builds already.
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Meta: Code Llama, an AI Tool for Coding
LocalAI https://localai.io/ and LMStudio https://lmstudio.ai/ both have fairly complete OpenAI compatibility layers. llama-cpp-python has a FastAPI server as well: https://github.com/abetlen/llama-cpp-python/blob/main/llama_... (as of this moment it hasn't merged GGUF update yet though)
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First steps with llama
I went with Python, llama-cpp-python, since my goal is just to get a small project up and running locally.
What are some alternatives?
StudentAI - StudentAI is an prompt-less AI chatbot app that uses OpenAI's large language model to help students learn more effectively. StudentAI can answer questions, provide explanations, and even generate creative content. This makes it a powerful tool for students of all ages and levels of learning.
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.
flutter_ci_cd - CI/CD & branching template for flutter apps
intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
more-ane-transformers - Run transformers (incl. LLMs) on the Apple Neural Engine.
llama.cpp - LLM inference in C/C++
Flutter-AssetsAudioPlayer - Play simultaneously music/audio from assets/network/file directly from Flutter, compatible with android / ios / web / macos, displays notifications
text-generation-inference - Large Language Model Text Generation Inference
rwkv.cpp - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.