Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

HuggingChat

Model basics

Reasoning traces

Not supported

Context length

2K tokens

Max output length

No data

Model type

基础大模型

Release date

2023-04-26

Model file size

No data

MoE architecture

Total params / Active params

300.0B / N/A

Knowledge cutoff

No data

Inference modes

No mode data

HuggingChat

Open source & experience

Code license

No data

Weights license

No data

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/chat/

Live demo

No live demo

HuggingChat

Official resources

Paper

No paper available

DataLearnerAI blog

No blog post yet

HuggingChat

API details

API speed

No data

No public API pricing yet.

HuggingChat

Benchmark Results

No benchmark data to show.

HuggingChat

Publisher

Hugging Face

View publisher details

HuggingChat

Model Overview

HuggingChat是Hugging Face最新发布的一个开源的“ChatGPT”模型，其目标是提供一个ChatGPT之外的选择。

当前发布的是v0版本，运行的是开源的OpenAssistant。而OpenAssistant则使用的是MetaAI开源的LLaMA模型。

从实测解雇看，HuggingChat速度很好，目前也不需要登录就可以使用。只是效果感觉很一般。而且不支持中文！

HuggingChat地址： https://huggingface.co/chat

Foundation model

LLaMA

View details

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