FastChat VS bitsandbytes

Compare FastChat vs bitsandbytes 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)

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch. (by TimDettmers)
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FastChat bitsandbytes
82 61
32,751 5,206
4.5% -
9.7 9.4
7 days ago about 23 hours ago
Python Python
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.

bitsandbytes

Posts with mentions or reviews of bitsandbytes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing FastChat and bitsandbytes you can also consider the following projects:

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

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

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

accelerate - 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

gpt4all - gpt4all: run open-source LLMs anywhere

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.

Dreambooth-Stable-Diffusion-cpu - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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

alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM

mlc-llm - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

qlora - QLoRA: Efficient Finetuning of Quantized LLMs