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GLM 4.5 AWQ by QuantTrio

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  4-bit   Autotrain compatible   Awq   Awq marlin Base model:quantized:zai-org/g...   Base model:zai-org/glm-4.5   Conversational   Endpoints compatible   Glm4 moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Vllm   量化修复
Model Card on HF 🤗: https://huggingface.co/QuantTrio/GLM-4.5-AWQ 

GLM 4.5 AWQ Benchmarks

LLME Score: 0.31481
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 AWQ (QuantTrio/GLM-4.5-AWQ)
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GLM 4.5 AWQ Parameters and Internals

LLM NameGLM 4.5 AWQ
Repository 🤗https://huggingface.co/QuantTrio/GLM-4.5-AWQ 
Base Model(s)  zai-org/GLM-4.5   zai-org/GLM-4.5
Required VRAM194.2 GB
Updated2025-08-11
MaintainerQuantTrio
Model Typeglm4_moe
Model Files  5.0 GB: 1-of-39   5.0 GB: 2-of-39   5.0 GB: 3-of-39   5.0 GB: 4-of-39   5.0 GB: 5-of-39   5.0 GB: 6-of-39   5.0 GB: 7-of-39   5.0 GB: 8-of-39   5.0 GB: 9-of-39   5.0 GB: 10-of-39   5.0 GB: 11-of-39   5.0 GB: 12-of-39   5.0 GB: 13-of-39   5.0 GB: 14-of-39   5.0 GB: 15-of-39   5.0 GB: 16-of-39   5.0 GB: 17-of-39   5.0 GB: 18-of-39   5.0 GB: 19-of-39   5.0 GB: 20-of-39   5.0 GB: 21-of-39   5.0 GB: 22-of-39   5.0 GB: 23-of-39   5.0 GB: 24-of-39   5.0 GB: 25-of-39   5.0 GB: 26-of-39   5.0 GB: 27-of-39   5.0 GB: 28-of-39   5.0 GB: 29-of-39   5.0 GB: 30-of-39   5.0 GB: 31-of-39   5.0 GB: 32-of-39   5.0 GB: 33-of-39   5.0 GB: 34-of-39   5.0 GB: 35-of-39   5.0 GB: 36-of-39   5.0 GB: 37-of-39   5.0 GB: 38-of-39   4.2 GB: 39-of-39
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureGlm4MoeForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.54.0
Vocabulary Size151552
Torch Data Typefloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241124
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