FastChat VS alpaca.cpp

Compare FastChat vs alpaca.cpp and see what are their differences.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena. (by lm-sys)

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM (by antimatter15)
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FastChat alpaca.cpp
82 94
33,668 9,878
5.4% -
9.7 9.4
5 days ago about 1 year ago
Python C
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

FastChat

Posts with mentions or reviews of FastChat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

alpaca.cpp

Posts with mentions or reviews of alpaca.cpp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-31.

What are some alternatives?

When comparing FastChat and alpaca.cpp you can also consider the following projects:

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

gpt4all - gpt4all: run open-source LLMs anywhere

llama.cpp - LLM inference in C/C++

coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

ggml - Tensor library for machine 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.

llama-cpp-python - Python bindings for llama.cpp

alpaca-lora - Instruct-tune LLaMA on consumer hardware