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GLM 5.2 NVFP4 by Mapika

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GLM 5.2 NVFP4 is an open-source language model by Mapika. Features: 379.2b LLM, VRAM: 438GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.35.

  8-bit Base model:quantized:zai-org/g...   Base model:zai-org/glm-5.2   Conversational   Endpoints compatible   Fp4   Glm   Glm moe dsa   Modelopt   Moe   Nvfp4   Quantization   Region:us   Safetensors   Sglang   Sharded   Tensorflow   Tensorrt
Model Card on HF 🤗: https://huggingface.co/Mapika/GLM-5.2-NVFP4 

GLM 5.2 NVFP4 Benchmarks

LLME Score: 0.35375
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 NVFP4 (Mapika/GLM-5.2-NVFP4)
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GLM 5.2 NVFP4 Parameters and Internals

LLM NameGLM 5.2 NVFP4
Repository 🤗https://huggingface.co/Mapika/GLM-5.2-NVFP4 
Base Model(s)  zai-org/GLM-5.2   zai-org/GLM-5.2
Model Size379.2b
Required VRAM438 GB
Updated2026-06-25
MaintainerMapika
Model Typeglm_moe_dsa
Model Files  10.0 GB: 1-of-45   10.0 GB: 2-of-45   10.0 GB: 3-of-45   10.0 GB: 4-of-45   9.8 GB: 5-of-45   10.0 GB: 6-of-45   10.0 GB: 7-of-45   10.0 GB: 8-of-45   10.0 GB: 9-of-45   10.0 GB: 10-of-45   10.0 GB: 11-of-45   10.0 GB: 12-of-45   10.0 GB: 13-of-45   10.0 GB: 14-of-45   10.0 GB: 15-of-45   10.0 GB: 16-of-45   10.0 GB: 17-of-45   10.0 GB: 18-of-45   10.0 GB: 19-of-45   10.0 GB: 20-of-45   10.0 GB: 21-of-45   10.0 GB: 22-of-45   10.0 GB: 23-of-45   10.0 GB: 24-of-45   10.0 GB: 25-of-45   10.0 GB: 26-of-45   10.0 GB: 27-of-45   10.0 GB: 28-of-45   10.0 GB: 29-of-45   10.0 GB: 30-of-45   10.0 GB: 31-of-45   10.0 GB: 32-of-45   10.0 GB: 33-of-45   9.8 GB: 34-of-45   10.0 GB: 35-of-45   10.0 GB: 36-of-45   10.0 GB: 37-of-45   10.0 GB: 38-of-45   10.0 GB: 39-of-45   10.0 GB: 40-of-45   10.0 GB: 41-of-45   10.0 GB: 42-of-45   10.0 GB: 43-of-45   8.4 GB: 44-of-45
Model ArchitectureGlmMoeDsaForCausalLM
Licensemit
Context Length1048576
Model Max Length1048576
Transformers Version5.12.0
Vocabulary Size154880

Rank the GLM 5.2 NVFP4 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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