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GLM 4.5 Air AWQ by cpatonn

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GLM 4.5 Air AWQ is an open-source language model by cpatonn. Features: 17.8b LLM, VRAM: 61.9GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.27.

  Autotrain compatible   Awq Base model:quantized:zai-org/g...   Base model:zai-org/glm-4.5-air   Compressed-tensors   Conversational   En   Endpoints compatible   Glm4 moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/cpatonn/GLM-4.5-Air-AWQ 

GLM 4.5 Air AWQ Benchmarks

LLME Score: 0.2684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GLM 4.5 Air AWQ (cpatonn/GLM-4.5-Air-AWQ)
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GLM 4.5 Air AWQ Parameters and Internals

LLM NameGLM 4.5 Air AWQ
Repository 🤗https://huggingface.co/cpatonn/GLM-4.5-Air-AWQ 
Base Model(s)  zai-org/GLM-4.5-Air   zai-org/GLM-4.5-Air
Model Size17.8b
Required VRAM61.9 GB
Updated2025-08-08
Maintainercpatonn
Model Typeglm4_moe
Model Files  5.0 GB: 1-of-13   5.0 GB: 2-of-13   5.0 GB: 3-of-13   5.0 GB: 4-of-13   5.0 GB: 5-of-13   5.0 GB: 6-of-13   5.0 GB: 7-of-13   5.0 GB: 8-of-13   5.0 GB: 9-of-13   5.0 GB: 10-of-13   5.0 GB: 11-of-13   5.0 GB: 12-of-13   1.9 GB: 13-of-13
Supported Languagesen zh
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureGlm4MoeForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.54.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size151552
Torch Data Typebfloat16

Rank the GLM 4.5 Air AWQ 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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