GLM 5 Alternatives

GLM-5.1 is an open-source large language model designed for text generation and conversational AI. It can be run locally via CLI and is suitable for research, experimentation, and building AI-powered applications.

GLM-4.5 is an open-source large language model supporting vision inputs, tool calling, and advanced chat templates. It can process images and text together and follows structured function-calling formats. The model is distributed on Hugging Face and supports Docker and pip-based inference.

GLM-5-FP8 is an open-source, quantized large language model designed for advanced text generation and understanding tasks. It is suitable for developers and researchers seeking efficient, high-quality LLMs for NLP applications.

GLM-5.2-FP8 is an open-source large language model optimized for local inference with FP8 precision. It allows developers to run advanced text generation tasks efficiently on their own hardware.

GLM-5.2 is an open-source large language model for text generation and understanding, distributed via Hugging Face. It is suitable for research and production use in NLP applications and can be used with the Transformers library. The model is aimed at developers and researchers.

GLM-5.2 is an open-source large language model designed for advanced text generation and natural language processing tasks. It is suitable for developers and researchers seeking customizable, local deployment of LLMs with open weights.

GLM-4.5-Air is an efficient variant of the GLM-4.5 series of large language models. It supports tool calling and follows a chat template suitable for instruction and agentic use cases. The model is hosted on Hugging Face and intended for inference with the Transformers library or compatible frameworks.

GLM-4.5V is a vision-enabled version of the GLM-4.5 large language model. It supports image inputs, tool calling via structured XML formats, and custom chat templates. The model weights are hosted on Hugging Face for developers to integrate into applications or run locally.

GLM-4.7-Flash is a foundation model hosted on Hugging Face under the repository zai-org/GLM-4.7-Flash. It belongs to the class of large language models that process text through a defined chat template. The model includes a chat template in Jinja format that supports tool use. When tools are supplied, the template instructs the model to consider function signatures provided inside XML-style tags and to output calls in a specific XML format containing the function name along with argument keys and values. A visible_text macro within the template handles string content, iterable collections, and mapping objects by extracting text where present. The tokenizer configuration specifies an end-of-text token as the pad token. The model is delivered as a repository on the Hugging Face platform, where users can access the associated configuration files. Hugging Face itself operates to advance and democratize artificial intelligence through open source and open science. No pricing, licensing terms, or specific target audience beyond the general context of model repositories are stated.

GLM-OCR is an open-source command-line tool for performing optical character recognition (OCR) using AI models. It supports installation via pip and Docker, making it suitable for developers and data scientists who need to extract text from images programmatically.

GLM-Image is an open-source text-to-image diffusion model developed by Z.ai. It enables users to generate detailed images from textual prompts, supporting both English and Chinese. The model can be used locally or via cloud inference, making it suitable for AI researchers and developers seeking customizable image generation solutions.

GLM-4.5-Air-FP8 is an FP8 quantized variant of the GLM-4.5 model, designed for efficient local inference. It supports tool calling and includes a comprehensive chat template. The model is suitable for developers building local AI applications and is distributed via Hugging Face for use with standard inference frameworks.

GLM-4.6V-Flash is an open-weights multimodal foundation model from zai-org that processes both text and images. It supports advanced features such as tool calling and is distributed on Hugging Face for local or self-hosted inference. The model is intended for developers building vision-language applications or integrating multimodal capabilities into their own systems.

GLM-4-9B-Chat is a 9 billion parameter language model from Zhipu AI. It features strong multilingual performance (including Chinese) and built-in support for tool use, function calling, and agent workflows. The model is available on Hugging Face for local deployment.

This repository contains an NVFP4 quantized variant of GLM-5.2 for optimized inference on NVIDIA hardware. It includes support for tool calling and advanced reasoning modes. The model follows a specific system prompt format and can be used with compatible inference engines.

ChatGLM3-6B is the third generation of the ChatGLM series, an open-source bilingual (Chinese and English) conversational language model with 6 billion parameters. It supports both chat and instruction-following use cases and is distributed on Hugging Face. The model can be used with the Transformers library for local inference or through compatible cloud inference providers.