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GLM 5.2 4bit by mlx-community

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GLM 5.2 4bit is an open-source language model by mlx-community. Features: 743.4b LLM, VRAM: 207.5GB, Context: 1024K, License: mit, MoE, Quantized, LLM Explorer Score: 0.33.

  4-bit   4bit Base model:quantized:zai-org/g...   Base model:zai-org/glm-5.2   Conversational   Glm moe dsa   Mlx   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-5.2-4bit 

GLM 5.2 4bit Benchmarks

LLME Score: 0.32835
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 4bit (mlx-community/GLM-5.2-4bit)
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GLM 5.2 4bit Parameters and Internals

LLM NameGLM 5.2 4bit
Repository 🤗https://huggingface.co/mlx-community/GLM-5.2-4bit 
Base Model(s)  zai-org/GLM-5.2   zai-org/GLM-5.2
Model Size743.4b
Required VRAM207.5 GB
Updated2026-07-10
Maintainermlx-community
Model Typeglm_moe_dsa
Model Files  4.9 GB: 1-of-91   5.3 GB: 2-of-91   3.9 GB: 3-of-91   5.4 GB: 4-of-91   3.9 GB: 5-of-91   5.3 GB: 6-of-91   3.8 GB: 7-of-91   5.3 GB: 8-of-91   4.0 GB: 9-of-91   5.3 GB: 10-of-91   3.9 GB: 11-of-91   5.3 GB: 12-of-91   3.8 GB: 13-of-91   5.4 GB: 14-of-91   3.9 GB: 15-of-91   5.3 GB: 16-of-91   3.9 GB: 17-of-91   5.3 GB: 18-of-91   3.9 GB: 19-of-91   5.3 GB: 20-of-91   3.9 GB: 21-of-91   5.3 GB: 22-of-91   4.0 GB: 23-of-91   5.3 GB: 24-of-91   3.8 GB: 25-of-91   5.3 GB: 26-of-91   3.9 GB: 27-of-91   5.4 GB: 28-of-91   3.9 GB: 29-of-91   5.3 GB: 30-of-91   3.8 GB: 31-of-91   5.3 GB: 32-of-91   4.0 GB: 33-of-91   5.3 GB: 34-of-91   3.9 GB: 35-of-91   5.3 GB: 36-of-91   3.8 GB: 37-of-91   5.4 GB: 38-of-91   3.9 GB: 39-of-91   5.3 GB: 40-of-91   3.9 GB: 41-of-91   5.3 GB: 42-of-91   3.9 GB: 43-of-91   5.3 GB: 44-of-91   3.9 GB: 45-of-91
Quantization Type4bit
Model ArchitectureGlmMoeDsaForCausalLM
Licensemit
Context Length1048576
Model Max Length1048576
Transformers Version5.12.0
Vocabulary Size154880

Best Alternatives to GLM 5.2 4bit

Best Alternatives
Context / RAM
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GLM 5.2 DQ4plus Q81024K / 184.6 GB2213116
GLM 5.2 Mxfp41024K / 233.5 GB3883621
Aesop V11024K / 210.9 GB9054
GLM 5.2 MLX Nvfp41024K / 207.5 GB182
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-5.2-4bit.

Rank the GLM 5.2 4bit 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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