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GLM 4.7 REAP 50 by 0xSero

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GLM 4.7 REAP 50 is an open-source language model by 0xSero. Features: 184.8b LLM, VRAM: 219.9GB, Context: 198K, License: apache-2.0, LLM Explorer Score: 0.25.

  Arxiv:2510.13999   Agentic   Cerebras   Code   Compression   Conversational   En   Endpoints compatible   Function-calling   Glm   Glm4   Glm4 moe   Moe   Pruning   Reap   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/0xSero/GLM-4.7-REAP-50 

GLM 4.7 REAP 50 Benchmarks

LLME Score: 0.24733
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 50 (0xSero/GLM-4.7-REAP-50)
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GLM 4.7 REAP 50 Parameters and Internals

LLM NameGLM 4.7 REAP 50
Repository 🤗https://huggingface.co/0xSero/GLM-4.7-REAP-50 
Base Model(s)  zai/glm-4.7   zai/glm-4.7
Model Size184.8b
Required VRAM219.9 GB
Updated2026-04-01
Maintainer0xSero
Model Typeglm4_moe
Model Files  5.0 GB: 1-of-75   5.0 GB: 2-of-75   5.0 GB: 3-of-75   4.9 GB: 4-of-75   5.0 GB: 5-of-75   5.0 GB: 6-of-75   5.0 GB: 7-of-75   5.0 GB: 8-of-75   5.0 GB: 9-of-75   5.0 GB: 10-of-75   5.0 GB: 11-of-75   5.0 GB: 12-of-75   5.0 GB: 13-of-75   5.0 GB: 14-of-75   5.0 GB: 15-of-75   5.0 GB: 16-of-75   5.0 GB: 17-of-75   5.0 GB: 18-of-75   5.0 GB: 19-of-75   5.0 GB: 20-of-75   5.0 GB: 21-of-75   5.0 GB: 22-of-75   5.0 GB: 23-of-75   5.0 GB: 24-of-75   5.0 GB: 25-of-75   5.0 GB: 26-of-75   5.0 GB: 27-of-75   5.0 GB: 28-of-75   5.0 GB: 29-of-75   5.0 GB: 30-of-75   5.0 GB: 31-of-75   5.0 GB: 32-of-75   5.0 GB: 33-of-75   5.0 GB: 34-of-75   5.0 GB: 35-of-75   5.0 GB: 36-of-75   5.0 GB: 37-of-75   5.0 GB: 38-of-75   5.0 GB: 39-of-75   5.0 GB: 40-of-75   5.0 GB: 41-of-75   5.0 GB: 42-of-75   5.0 GB: 43-of-75   5.0 GB: 44-of-75
Supported Languagesen
Model ArchitectureGlm4MoeForCausalLM
Licenseapache-2.0
Context Length202752
Model Max Length202752
Transformers Version4.57.3
Vocabulary Size151552

Best Alternatives to GLM 4.7 REAP 50

Best Alternatives
Context / RAM
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GLM 4.7 REAP 50 Mixed 3 4 Bits198K / 84.8 GB3722
Note: green Score (e.g. "73.2") means that the model is better than 0xSero/GLM-4.7-REAP-50.

Rank the GLM 4.7 REAP 50 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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