Vicuna Api Documentation Github. - frevds/Vicuna API OpenAI-Compatible RESTful APIs & SDK FastChat
- frevds/Vicuna API OpenAI-Compatible RESTful APIs & SDK FastChat provides OpenAI-compatible APIs for its supported models, so you can use FastChat as a local drop-in replacement for OpenAI APIs. It can also be a Hugging Face repo id such as `lmsys/fastchat-t5-3b-v1. com with public API documentation for the Rust `vicuna` crate. To ensure data quality, we Create integrations, retrieve data, and automate your workflows with the GitHub REST API. 0 of the RISC-V “V” Vector extension specification. The primary intended users of the model are researchers and Command Line Interface: Visit the GitHub repository for command line installation. Vicuna is an open-source 32-bit integer vector coprocessor written in SystemVerilog that implements version 1. An open platform for training, serving, and evaluating large languages. - lm-sys/FastChat multimodal-interpretability / vicuna-custom-api Public forked from lm-sys/FastChat Notifications You must be signed in to change notification settings Fork 0 Star 0 Code Pull requests . The "vicuna-installation-guide" provides step-by-step instructions for installing and configuring Vicuna 13 and 7B - vicuna The primary use of Vicuna is research on large language models and chatbots. Release repo for Vicuna and Chatbot Arena. Release repo for Vicuna and FastChat-T5. com with public APIs. Explore our complete guide to running the Vicuna-13B model through a FastAPI server. The release repo for "Vicuna: An Open Chatbot Impressing GPT-4" - FGDumitru/Vicuna An open platform for training, serving, and evaluating large languages. com with public This User Guide is intended for developers who wish to integrate Vicuna into a hardware design, or who simply want to evaluate the performance improvements that a vector coprocessor can The primary use of Vicuna is research on large language models and chatbots. An open platform for training, serving, and evaluating large language models. multimodal-interpretability / vicuna-custom-api Public forked from lm-sys/FastChat Notifications Fork 0 Star 0 Code Pull requests Projects Security Insights An open platform for training, serving, and evaluating large language models. Drop-in replacement for OpenAI, running on About The "vicuna-installation-guide" provides step-by-step instructions for installing and configuring Vicuna 13 and 7B vicuna large Vicuna is created by fine-tuning a LLaMA base model using approximately 70K user-shared conversations gathered from ShareGPT. Self-hosted and local-first. The primary intended users of the model are researchers and Vicuna is created by fine-tuning a LLaMA base model using approximately 70K user-shared conversations gathered from ShareGPT. Vicuna is created by fine-tuning a LLaMA base model using approximately 70K user-shared conversations gathered from ShareGPT. - debjordan/FastChat-Vicuna-Module Latest commit History History 19 lines (15 loc) · 599 Bytes main vicuna-custom-api / docs / commands multimodal-interpretability / vicuna-custom-api Public forked from lm-sys/FastChat Notifications Fork 0 Star 0 Code Pull requests Projects Security Insights Replace `/path/to/weights` below with the a real path to a local model such as Vicuna. - zenn-ai/fastchat An open platform for training, serving, and evaluating large languages. 0`. - tiberido/FastChat-Vicuna multimodal-interpretability / vicuna-custom-api Public forked from lm-sys/FastChat Notifications Fork 0 Star 0 Code Pull requests Projects Security Insights Vicuna User Guide This User Guide is intended for developers who wish to integrate Vicuna into a hardware design, or who simply want to evaluate the performance improvements that a vector designfailure / Vicuna_FastChat Public forked from lm-sys/FastChat Notifications You must be signed in to change notification settings Fork 0 Star 1 Code Pull requests Projects Security :robot: The free, Open Source alternative to OpenAI, Claude and others. APIs: You can access Vicuna through various Contribute to yiyi1333/FastChat-vicuna development by creating an account on GitHub.
