GLM 5.2 DQ4plus Q8 by mlx-community

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GLM 5.2 DQ4plus Q8 is an open-source language model by mlx-community. Features: 743.4b LLM, VRAM: 184.6GB, Context: 1024K, License: mit, MoE, Quantized, LLM Explorer Score: 0.38.

  Arxiv:2505.02390   4-bit Base model:quantized:zai-org/g...   Base model:zai-org/glm-5.2   Conversational   Glm moe dsa   Mlx   Moe   Q8   Quantized   Region:us   Safetensors   Sharded   Tensorflow

GLM 5.2 DQ4plus Q8 Benchmarks

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

GLM 5.2 DQ4plus Q8 Parameters and Internals

LLM NameGLM 5.2 DQ4plus Q8
Repository 🤗https://huggingface.co/mlx-community/GLM-5.2-DQ4plus-q8 
Base Model(s)  zai-org/GLM-5.2   zai-org/GLM-5.2
Model Size743.4b
Required VRAM184.6 GB
Updated2026-06-27
Maintainermlx-community
Model Typeglm_moe_dsa
Model Files  4.3 GB: 1-of-113   4.7 GB: 2-of-113   3.6 GB: 3-of-113   4.7 GB: 4-of-113   4.7 GB: 5-of-113   3.6 GB: 6-of-113   4.2 GB: 7-of-113   4.2 GB: 8-of-113   3.6 GB: 9-of-113   4.2 GB: 10-of-113   4.3 GB: 11-of-113   3.6 GB: 12-of-113   4.7 GB: 13-of-113   4.2 GB: 14-of-113   3.6 GB: 15-of-113   4.2 GB: 16-of-113   4.3 GB: 17-of-113   3.6 GB: 18-of-113   4.2 GB: 19-of-113   4.7 GB: 20-of-113   3.6 GB: 21-of-113   4.2 GB: 22-of-113   4.3 GB: 23-of-113   3.6 GB: 24-of-113   4.2 GB: 25-of-113   4.2 GB: 26-of-113   3.6 GB: 27-of-113   4.7 GB: 28-of-113   4.3 GB: 29-of-113   3.6 GB: 30-of-113   4.2 GB: 31-of-113   4.2 GB: 32-of-113   3.6 GB: 33-of-113   4.2 GB: 34-of-113   4.7 GB: 35-of-113   3.6 GB: 36-of-113   4.2 GB: 37-of-113   4.2 GB: 38-of-113   3.6 GB: 39-of-113   4.2 GB: 40-of-113   4.3 GB: 41-of-113   3.6 GB: 42-of-113   4.7 GB: 43-of-113   4.2 GB: 44-of-113   3.6 GB: 45-of-113
Quantization Typeq8
Model ArchitectureGlmMoeDsaForCausalLM
Licensemit
Context Length1048576
Model Max Length1048576
Transformers Version5.12.0
Vocabulary Size154880

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-5.2-DQ4plus-q8.

Rank the GLM 5.2 DQ4plus Q8 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