Model reference · open weights

AutoGLM-Phone

AutoGLM-Phone is an open-weight language model from zai-org, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

LLMs zai-org 1 variants 26k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What AutoGLM-Phone is

AutoGLM-Phone-9B 👋 Join our <a href="https://raw.githubusercontent.com/zai-org/Open-AutoGLM/refs/heads/main/resources/wechat.jpeg" target="blank"WeChat</a community ⚠️ This project is intended for research and educational purposes only. Any use for illegal data access, system interference, or unlawful activities is strictly prohibited. Please review our Terms of Use carefully. Project Overview Phone Agent is a mobile intelligent assistant framework built on AutoGLM, capable of understanding smartphone screens through multimodal perception and executing automated operations to complete tasks. The system controls devices via ADB (Android Debug Bridge), uses a vision-language model for screen understanding, and leverages intelligent planning to generate and execute action sequences. Users can simply describe tasks in natural language—for example, “Open Xiaohongshu and search for food recommendations.” Phone Agent will automatically parse the intent, understand the current UI, plan the next steps, and carry out the entire workflow. The system also includes: - Sensitive action confirmation mechanisms - Human-in-the-loop fallback for login or verification code scenarios - Remote ADB debugging, allowing device connection via WiFi or network for flexible remote control and development Model Usage We provide an open-source model usage guide to help you quickly download and deploy the model. Please visit our GitHub for detailed instructions. - The model architecture is identical to GLM-4.1V-9B-Thinking. For deployment details, see the GLM-V repository. Citation If you find our work helpful, please cite the following paper:

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerzai-org
TypeLanguage models
Parameters (lead)1M
Variants1
Runs withtransformers
Based onzai-org/GLM-4.1V-9B-Base
Released2025-12-08
Popularity26k downloads / month
Likes444
LicenceOpen weights

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
AutoGLM-Phone-9B1MBF16~0 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys autoglm-phone for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (autoglm-phone below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"autoglm-phone","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Languages

zh

Tags

transformers safetensors glm4v image-text-to-text agent conversational zh endpoints_compatible deploy:azure

Papers

Licence

Open weights

Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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