localLLM_langchain
llama-cpp-python
| localLLM_langchain | llama-cpp-python | |
|---|---|---|
| 2 | 55 | |
| 46 | 6,475 | |
| - | - | |
| 3.6 | 9.8 | |
| 12 months ago | 6 days ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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localLLM_langchain
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local LLM agent?
I was able to make a dumb bot (react framework) using wizardlm 13b and 30b (1.1 for 13b) (using something similar to this: https://github.com/QuangBK/localLLM_langchain/blob/main/localLLM_agent.ipynb, without langchain. But it seems like it really struggles with following the correct format when giving the output. Sometimes, its thought is to search, but instead, it parses a web page. I have tried using natural language and json format output. I've tweeked the prompt several times to varying degrees of success. I've played with the temperature with some success.
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I made a simple agent demo with Guidance and wizard-mega-13B-GPTQ, feel quite promising.
Also, you can compare Langchain and Guidance here: Guidance Agent and Langchain Agent
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?
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
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.
guidance - A guidance language for controlling large language models.
intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
localLLM_guidance - Local LLM ReAct Agent with Guidance
llama.cpp - LLM inference in C/C++
local-guidance - A guidance language for controlling large language models.
text-generation-inference - Large Language Model Text Generation Inference
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.
KoboldAI