glm-4.5v#

  • Context Length: 131072

  • Model Name: glm-4.5v

  • Languages: en, zh

  • Abilities: chat, vision, reasoning, tools

  • Description: GLM-4.5V is based on ZhipuAI’s next-generation flagship text foundation model GLM-4.5-Air (106B parameters, 12B active). It continues the technical approach of GLM-4.1V-Thinking, achieving SOTA performance among models of the same scale on 42 public vision-language benchmarks.

Specifications#

Model Spec 1 (pytorch, 106 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 106

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: zai-org/GLM-4.5V

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name glm-4.5v --size-in-billions 106 --model-format pytorch --quantization ${quantization}

Model Spec 2 (fp8, 106 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 106

  • Quantizations: FP8

  • Engines: vLLM, Transformers

  • Model ID: zai-org/GLM-4.5V-FP8

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name glm-4.5v --size-in-billions 106 --model-format fp8 --quantization ${quantization}

Model Spec 3 (awq, 106 Billion)#

  • Model Format: awq

  • Model Size (in billions): 106

  • Quantizations: Int4

  • Engines: vLLM, Transformers

  • Model ID: QuantTrio/GLM-4.5V-AWQ

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name glm-4.5v --size-in-billions 106 --model-format awq --quantization ${quantization}

Model Spec 4 (mlx, 106 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 106

  • Quantizations: 3bit, 4bit, 5bit, 6bit, 8bit

  • Engines: Transformers, MLX

  • Model ID: mlx-community/GLM-4.5V-{quantization}

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name glm-4.5v --size-in-billions 106 --model-format mlx --quantization ${quantization}