What are the hardware requirements for GLM 5.2 FP8?

GLM 5.2 FP8 requires approximately 237.6 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.2 FP8 and how large is it?

GLM 5.2 FP8 is developed by zai-org, a model with 753.4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate GLM 5.2 FP8?

GLM 5.2 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.2 FP8 by zai-org — VRAM 237.6GB, 1024K context

Name: GLM 5.2 FP8
Author: zai-org

GLM 5.2 FP8 is an open-source language model by zai-org. Features: 753.4b LLM, VRAM: 237.6GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.52.

Arxiv:2602.15763 Arxiv:2603.12201 Conversational En Endpoints compatible Fp8 Glm moe dsa Moe Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/zai-org/GLM-5.2-FP8

GLM 5.2 FP8 Benchmarks

LLME Score: 0.52198

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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GLM 5.2 FP8 Parameters and Internals

LLM Name	GLM 5.2 FP8
Repository 🤗	https://huggingface.co/zai-org/GLM-5.2-FP8
Model Size	753.4b
Required VRAM	237.6 GB
Updated	2026-06-24
Maintainer	zai-org
Model Type	glm_moe_dsa
Model Files	5.4 GB: 1-of-141 5.4 GB: 2-of-141 5.4 GB: 3-of-141 5.4 GB: 4-of-141 5.4 GB: 5-of-141 5.4 GB: 6-of-141 5.4 GB: 7-of-141 5.4 GB: 8-of-141 5.4 GB: 9-of-141 5.4 GB: 10-of-141 5.4 GB: 11-of-141 5.4 GB: 12-of-141 5.4 GB: 13-of-141 5.4 GB: 14-of-141 5.4 GB: 15-of-141 5.4 GB: 16-of-141 5.4 GB: 17-of-141 5.4 GB: 18-of-141 5.4 GB: 19-of-141 5.4 GB: 20-of-141 5.4 GB: 21-of-141 5.4 GB: 22-of-141 5.4 GB: 23-of-141 5.4 GB: 24-of-141 5.4 GB: 25-of-141 5.4 GB: 26-of-141 5.4 GB: 27-of-141 5.4 GB: 28-of-141 5.4 GB: 29-of-141 5.4 GB: 30-of-141 5.4 GB: 31-of-141 5.4 GB: 32-of-141 5.4 GB: 33-of-141 5.4 GB: 34-of-141 5.4 GB: 35-of-141 5.4 GB: 36-of-141 5.4 GB: 37-of-141 5.4 GB: 38-of-141 5.4 GB: 39-of-141 5.4 GB: 40-of-141 5.4 GB: 41-of-141 5.4 GB: 42-of-141 5.4 GB: 43-of-141 5.4 GB: 44-of-141
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.12.0
Vocabulary Size	154880

Rank the GLM 5.2 FP8 Capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Release v20260328a

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GLM 5.2 FP8 by zai-org

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GLM 5.2 FP8 Benchmarks

GLM 5.2 FP8 Parameters and Internals

Rank the GLM 5.2 FP8 Capabilities

What open-source LLMs or SLMs are you in search of? 54493 in total.