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GLM 4.5 GPTQ Int4 Int8Mix by QuantTrio

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  4-bit   Autotrain compatible Base model:quantized:zai-org/g...   Base model:zai-org/glm-4.5   Conversational   Endpoints compatible   Glm4 moe   Gptq   Gptq marlin   Int4-int8mix   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Vllm   量化修复
Model Card on HF 🤗: https://huggingface.co/QuantTrio/GLM-4.5-GPTQ-Int4-Int8Mix 

GLM 4.5 GPTQ Int4 Int8Mix Benchmarks

LLME Score: 0.27781
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 GPTQ Int4 Int8Mix (QuantTrio/GLM-4.5-GPTQ-Int4-Int8Mix)
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GLM 4.5 GPTQ Int4 Int8Mix Parameters and Internals

LLM NameGLM 4.5 GPTQ Int4 Int8Mix
Repository 🤗https://huggingface.co/QuantTrio/GLM-4.5-GPTQ-Int4-Int8Mix 
Base Model(s)  zai-org/GLM-4.5   zai-org/GLM-4.5
Required VRAM203.9 GB
Updated2025-09-15
MaintainerQuantTrio
Model Typeglm4_moe
Model Files  5.0 GB: 1-of-42   5.0 GB: 2-of-42   5.0 GB: 3-of-42   5.0 GB: 4-of-42   5.0 GB: 5-of-42   5.0 GB: 6-of-42   5.0 GB: 7-of-42   5.0 GB: 8-of-42   5.0 GB: 9-of-42   5.0 GB: 10-of-42   5.0 GB: 11-of-42   5.0 GB: 12-of-42   5.0 GB: 13-of-42   5.0 GB: 14-of-42   5.0 GB: 15-of-42   5.0 GB: 16-of-42   5.0 GB: 17-of-42   5.0 GB: 18-of-42   5.0 GB: 19-of-42   5.0 GB: 20-of-42   5.0 GB: 21-of-42   5.0 GB: 22-of-42   5.0 GB: 23-of-42   5.0 GB: 24-of-42   5.0 GB: 25-of-42   5.0 GB: 26-of-42   5.0 GB: 27-of-42   5.0 GB: 28-of-42   5.0 GB: 29-of-42   5.0 GB: 30-of-42   5.0 GB: 31-of-42   5.0 GB: 32-of-42   5.0 GB: 33-of-42   5.0 GB: 34-of-42   5.0 GB: 35-of-42   5.0 GB: 36-of-42   5.0 GB: 37-of-42   5.0 GB: 38-of-42   3.9 GB: 39-of-42   5.0 GB: 40-of-42   5.0 GB: 41-of-42
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGlm4MoeForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.54.0
Vocabulary Size151552
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than QuantTrio/GLM-4.5-GPTQ-Int4-Int8Mix.

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