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GLM 4.7 Flash REAP 23B A3B by cerebras

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GLM 4.7 Flash REAP 23B A3B is an open-source language model by cerebras. Features: 23b LLM, VRAM: 46.3GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.37.

  Arxiv:2510.13999 Base model:finetune:zai-org/gl... Base model:zai-org/glm-4.7-fla...   Compression   Conversational   Deploy:azure   En   Endpoints compatible   Glm   Glm4 moe lite   Moe   Pruning   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cerebras/GLM-4.7-Flash-REAP-23B-A3B 

GLM 4.7 Flash REAP 23B A3B Benchmarks

LLME Score: 0.37477
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 Flash REAP 23B A3B (cerebras/GLM-4.7-Flash-REAP-23B-A3B)
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GLM 4.7 Flash REAP 23B A3B Parameters and Internals

LLM NameGLM 4.7 Flash REAP 23B A3B
Repository 🤗https://huggingface.co/cerebras/GLM-4.7-Flash-REAP-23B-A3B 
Base Model(s)  zai-org/GLM-4.7-Flash   zai-org/GLM-4.7-Flash
Model Size23b
Required VRAM46.3 GB
Updated2026-03-28
Maintainercerebras
Model Typeglm4_moe_lite
Model Files  5.4 GB: 1-of-9   5.4 GB: 2-of-9   5.4 GB: 3-of-9   5.4 GB: 4-of-9   5.4 GB: 5-of-9   5.4 GB: 6-of-9   5.4 GB: 7-of-9   5.4 GB: 8-of-9   3.1 GB: 9-of-9
Supported Languagesen
Model ArchitectureGlm4MoeLiteForCausalLM
Licensemit
Context Length202752
Model Max Length202752
Transformers Version5.0.0rc3
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size154880

Rank the GLM 4.7 Flash REAP 23B A3B 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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