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GLM 4.7 REAP 218B A32B by unsloth

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GLM 4.7 REAP 218B A32B is an open-source language model by unsloth. Features: 218b LLM, VRAM: 244.2GB, Context: 198K, License: mit, LLM Explorer Score: 0.25.

  Arxiv:2510.13999 Base model:cerebras/glm-4.7-re... Base model:finetune:cerebras/g...   Compression   Conversational   En   Endpoints compatible   Glm   Glm4 moe   Moe   Pruning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/unsloth/GLM-4.7-REAP-218B-A32B 

GLM 4.7 REAP 218B A32B Benchmarks

LLME Score: 0.2483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GLM 4.7 REAP 218B A32B (unsloth/GLM-4.7-REAP-218B-A32B)
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GLM 4.7 REAP 218B A32B Parameters and Internals

LLM NameGLM 4.7 REAP 218B A32B
Repository 🤗https://huggingface.co/unsloth/GLM-4.7-REAP-218B-A32B 
Base Model(s)  cerebras/GLM-4.7-REAP-218B-A32B   cerebras/GLM-4.7-REAP-218B-A32B
Model Size218b
Required VRAM244.2 GB
Updated2026-03-28
Maintainerunsloth
Model Typeglm4_moe
Model Files  5.4 GB: 1-of-82   5.3 GB: 2-of-82   5.3 GB: 3-of-82   5.3 GB: 4-of-82   5.3 GB: 5-of-82   5.3 GB: 6-of-82   5.3 GB: 7-of-82   5.4 GB: 8-of-82   5.3 GB: 9-of-82   5.3 GB: 10-of-82   5.3 GB: 11-of-82   5.3 GB: 12-of-82   5.3 GB: 13-of-82   5.3 GB: 14-of-82   5.3 GB: 15-of-82   5.3 GB: 16-of-82   5.3 GB: 17-of-82   5.3 GB: 18-of-82   5.3 GB: 19-of-82   5.3 GB: 20-of-82   5.3 GB: 21-of-82   5.3 GB: 22-of-82   5.3 GB: 23-of-82   5.3 GB: 24-of-82   5.3 GB: 25-of-82   5.3 GB: 26-of-82   5.4 GB: 27-of-82   5.3 GB: 28-of-82   5.3 GB: 29-of-82   5.3 GB: 30-of-82   5.3 GB: 31-of-82   5.3 GB: 32-of-82   5.3 GB: 33-of-82   5.3 GB: 34-of-82   5.3 GB: 35-of-82   5.3 GB: 36-of-82   5.4 GB: 37-of-82   5.3 GB: 38-of-82   5.3 GB: 39-of-82   5.3 GB: 40-of-82   5.3 GB: 41-of-82   5.3 GB: 42-of-82   5.3 GB: 43-of-82   5.3 GB: 44-of-82   5.3 GB: 45-of-82   5.3 GB: 46-of-82
Supported Languagesen
Model ArchitectureGlm4MoeForCausalLM
Licensemit
Context Length202752
Model Max Length202752
Transformers Version4.57.3
Vocabulary Size151552
Torch Data Typebfloat16

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GLM 4.7 REAP 218B A32B198K / 249.5 GB20833
Note: green Score (e.g. "73.2") means that the model is better than unsloth/GLM-4.7-REAP-218B-A32B.

Rank the GLM 4.7 REAP 218B A32B 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  
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Multi-Language Support and Translation  

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