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GLM 4.7 REAP 50 Mixed 3 4 Bits by mlx-community

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GLM 4.7 REAP 50 Mixed 3 4 Bits is an open-source language model by mlx-community. Features: 184.8b LLM, VRAM: 84.8GB, Context: 198K, License: apache-2.0.

  3-bit   Agentic Base model:0xsero/glm-4.7-reap... Base model:quantized:0xsero/gl...   Cerebras   Code   Compression   Conversational   En   Function-calling   Glm   Glm4   Glm4 moe   Mlx   Moe   Pruning   Reap   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-4.7-REAP-50-mixed-3-4-bits 
GLM 4.7 REAP 50 Mixed 3 4 Bits (mlx-community/GLM-4.7-REAP-50-mixed-3-4-bits)
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GLM 4.7 REAP 50 Mixed 3 4 Bits Parameters and Internals

LLM NameGLM 4.7 REAP 50 Mixed 3 4 Bits
Repository 🤗https://huggingface.co/mlx-community/GLM-4.7-REAP-50-mixed-3-4-bits 
Base Model(s)  0xSero/GLM-4.7-REAP-50   0xSero/GLM-4.7-REAP-50
Model Size184.8b
Required VRAM84.8 GB
Updated2026-03-28
Maintainermlx-community
Model Typeglm4_moe
Model Files  5.3 GB: 1-of-17   5.2 GB: 2-of-17   5.2 GB: 3-of-17   5.3 GB: 4-of-17   5.3 GB: 5-of-17   5.2 GB: 6-of-17   5.3 GB: 7-of-17   5.3 GB: 8-of-17   5.1 GB: 9-of-17   5.3 GB: 10-of-17   5.3 GB: 11-of-17   5.2 GB: 12-of-17   5.3 GB: 13-of-17   5.3 GB: 14-of-17   5.2 GB: 15-of-17   5.2 GB: 16-of-17   0.8 GB: 17-of-17
Supported Languagesen
Model ArchitectureGlm4MoeForCausalLM
Licenseapache-2.0
Context Length202752
Model Max Length202752
Transformers Version4.57.3
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size151552

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GLM 4.7 REAP 50198K / 219.9 GB5918
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-4.7-REAP-50-mixed-3-4-bits.

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Instruction Following and Task Automation  
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