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GLM-4-9B-Chat-1M Benchmark Results, Specs & Pricing | DataLearnerAI

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目录

Model catalogGLM-4-9B-Chat-1M

GL

GLM-4-9B-Chat-1M

General Language Model - 4

Release date: 2024-06-05更新于: 2024-06-05 11:41:37621

Live demoGitHub Hugging Face Compare

Parameters

90.0亿

Context length

1000K

Chinese support

Supported

Reasoning ability

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

GLM-4-9B-Chat-1M

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

1000K tokens

Max output length

No data

Model type

GLM-4-9B-Chat-1M

Open source & experience

Code license

Weights license

GLM-4 License- 免费商用授权

GitHub repo

https://github.com/THUDM/GLM-4

Hugging Face

https://huggingface.co/THUDM/glm-4-9b-chat-1m

GLM-4-9B-Chat-1M

Official resources

Paper

No paper available

DataLearnerAI blog

No blog post yet

GLM-4-9B-Chat-1M

API details

API speed

No data

No public API pricing yet.

GLM-4-9B-Chat-1M

Benchmark Results

No benchmark data to show.

GLM-4-9B-Chat-1M

Publisher

智谱AI

View publisher details

General Language Model - 4

Model Overview

GLM-4-9B-Chat-1M是智谱AI开源的90亿参数规模的大语言模型，是ChatGLM的第四代版本，这个版本是对上下文长度优化的版本，最高支持100万上下文长度。其基础版本GLM-4-9B的上下文长度是8K，常规的聊天版本GLM-4-9B-Chat版本则是128K。

Foundation model

GLM

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聊天大模型

Release date

2024-06-05

Model file size

18GB

MoE architecture

No

Total params / Active params

90.0B / N/A

Knowledge cutoff

No data

Live demo

No live demo