GLM 4.7 Flash Alternatives

GLM-4.7-Flash is an optimized, high-speed variant of Zhipu AI's GLM-4 model, prepared by Unsloth for efficient deployment. It supports tool calling, structured output, and standard chat templates. The model is aimed at developers who require fast, cost-effective language model inference for production applications.

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-4.5 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-4.7-Flash-NVFP4 is a quantized variant of the GLM-4.7 language model hosted on Hugging Face. It is provided by user GadflyII under the repository name GLM-4.7-Flash-NVFP4 and uses NVFP4 precision for reduced memory and compute requirements during inference. The model includes a chat template that supports tool calling. When tools are supplied, the template instructs the model to output function calls in a specific XML format enclosed in tool_call tags, with individual arguments expressed as arg_key and arg_value pairs. A visible_text macro handles content rendering for strings, iterables, or mappings containing text items. The tokenizer configuration specifies an end-of-text token as the pad token. It is distributed as a model repository on the Hugging Face platform. Users obtain the files through the standard Hugging Face ecosystem for loading with compatible inference libraries. The page provides no information on licensing, pricing, or intended audience beyond the general Hugging Face context of open-source and open-science AI advancement.

unsloth/GLM-4.7-Flash-GGUF contains GGUF quantized files for the GLM-4.7 Flash model. It includes support for tool calling using XML-style function call formatting. The model is suitable for local deployment using llama.cpp or other GGUF-compatible runtimes and is provided to enable efficient on-premise or desktop AI applications.

GLM-4.7-Flash-MLX-8bit is a community-quantized version of the GLM-4 large language model using 8-bit precision and optimized for the MLX framework on Apple silicon. It supports tool calling and can be used locally through libraries such as Transformers or MLX. The model is hosted on Hugging Face for easy download and integration into local AI applications.

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-5 is an open-weight large language model hosted on Hugging Face under the zai-org organization. It belongs to the class of foundation models designed for text generation and tool use through a structured function-calling mechanism. The model incorporates a chat template that supports optional tool definitions supplied in JSON within XML tags. When tools are provided, it generates function calls in a specific XML format that includes the function name and argument key-value pairs. This enables the model to invoke external functions as part of its response process. The template also defines handling for visible text content, whether supplied as strings or structured items, and specifies special tokens such as a pad token set to <|endoftext|. It is delivered as a downloadable model repository on the Hugging Face platform. Users can access the associated configuration files that embed the chat template in Jinja format. The hosting organization aligns with the broader Hugging Face ecosystem focused on open source and open science initiatives. No specific pricing, licensing terms, or deployment methods beyond the repository itself are stated in the model page.

This repository provides GGUF quantized weights of the GLM-4.7-Flash model, optimized for use with LM Studio, llama.cpp, and other GGUF-compatible engines. It includes support for tool calling and is intended for local CPU/GPU inference of the GLM series of large language models.

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-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.

This is a 6-bit quantized version of the GLM-4.7-Flash model, prepared by the LM Studio community for efficient inference using the MLX framework on Apple devices. It includes support for tool calling and follows a standard chat template. The model is hosted on Hugging Face for easy local deployment.

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.

This repository hosts an AWQ 4-bit quantized version of the GLM-4.7-Flash model, optimized for reduced memory usage and faster inference. It retains tool-calling capabilities and a full chat template, making it suitable for local or hosted deployment where full-precision models would be too large. The model is provided for developers seeking efficient open-weight alternatives.

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-4.6V-Flash-MLX-6bit is a quantized multimodal model hosted on Hugging Face by the lmstudio-community. It belongs to the class of foundation models and is distributed as an MLX-optimized 6-bit version intended for local inference on compatible hardware. The model includes a chat template that supports tool calling. When tools are provided, the template instructs the model to output function calls in a specific XML format enclosed in tool_call tags, with individual arguments expressed through arg_key and arg_value elements. The template also defines handling for multimodal content that mixes text and images, using special tokens such as begin_of_image and image. It is delivered as a repository on the Hugging Face platform, allowing download of the model files for use with the MLX framework. The page references a pad_token set to the end-of-text token and supplies the full chat template as part of the configuration. No pricing, licensing terms, or explicit target audience beyond the general Hugging Face modeling community are stated.

This is an 8-bit quantized version of the GLM-4.6V-Flash model using MLX, designed for efficient local execution. It supports multimodal inputs including text and images and includes tooling capabilities. The model is distributed via Hugging Face for use with local inference tools like LM Studio.

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.

unsloth/GLM-4.7-Flash-FP8-Dynamic is an FP8 dynamically quantized version of the GLM-4.7-Flash model. Created by Unsloth, it enables efficient local inference with significantly reduced VRAM requirements while maintaining model quality. The model includes a custom chat template and is compatible with the Transformers library and other inference engines.

GLM-4.6V-Flash-MLX-4bit is a 4-bit quantized version of the GLM-4.6V-Flash multimodal model hosted on Hugging Face by the lmstudio-community. It is distributed as part of the collection of models available for local AI runtimes. The model includes a chat template that supports tools through XML-formatted function calls. It handles multimodal inputs by processing both text strings and image content marked with specific tokens such as <|begin_of_image| and <|image|. The configuration specifies a pad token of <|endoftext|. It is delivered as a repository on the Hugging Face platform, where models can be downloaded for integration into compatible local inference frameworks. The page appears under the lmstudio-community organization, indicating suitability for users running models through LM Studio or similar environments. No pricing or licensing details are stated on the model page. The surrounding Hugging Face site promotes open source and open science but does not attribute a specific license to this quantized variant.

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-4-9B-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.