daytona
llama-cpp-python
| daytona | llama-cpp-python | |
|---|---|---|
| 6 | 55 | |
| 5,449 | 6,658 | |
| 10.1% | - | |
| 9.7 | 9.8 | |
| about 15 hours ago | 2 days ago | |
| Go | Python | |
| Apache License 2.0 | MIT License |
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daytona
- FLaNK AI for 11 March 2024
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Show HN: Daytona – Open-Source Dev Env Manager from a 15-Year Journey
It does under Why Daytona https://github.com/daytonaio/daytona?tab=readme-ov-file#why-...
Or do u suggest we move this all the way up?
Thanks
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?
devbox - Instant, easy, and predictable development environments
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.
coder - Coder provisions software development environments via Terraform on Linux, macOS, Windows, X86, ARM, and of course, Kubernetes.
intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
ldhdns - A developer tool for providing DNS for Docker containers running on a Linux host.
llama.cpp - LLM inference in C/C++
tilt - Define your dev environment as code. For microservice apps on Kubernetes. [Moved to: https://github.com/tilt-dev/tilt]
text-generation-inference - Large Language Model Text Generation Inference
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
envd - 🏕️ Reproducible development environment