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cerebras_GLM-4.5-Air-REAP-82B-A12B-GGUF – AI Model by TobDeBer | AlphaNeural AI

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TobDeBer/
cerebras_GLM-4.5-Air-REAP-82B-A12B-GGUF

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text-generation

zai-org/GLM-4.5-Air

endpoints_compatible

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📋 Model Overview

GLM-4.5-Air-REAP-82B-A12B has the following specifications:

Base Model: GLM-4.5-Air
Compression Method: REAP (Router-weighted Expert Activation Pruning)
Compression Ratio: 25% expert pruning
Type: Sparse Mixture-of-Experts (SMoE) Causal Language Model
Number of Parameters: 82B total, 12B activated per token
Number of Layers: 46
Number of Attention Heads (GQA): 96 for Q and 8 for KV
Number of Experts: 96 (uniformly pruned from 128)
Number of Activated Experts: 8 per token
Context Length: 131,072 tokens
License: MIT