glm-4.5#

  • Context Length: 65536

  • Model Name: glm-4.5

  • Languages: en, zh

  • Abilities: chat, reasoning, hybrid

  • Description: The GLM-4.5 series models are foundation models designed for intelligent agents.

Specifications#

Model Spec 1 (pytorch, 355 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 355

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: zai-org/GLM-4.5

  • 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-4.5 --size-in-billions 355 --model-format pytorch --quantization ${quantization}

Model Spec 2 (fp8, 355 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 355

  • Quantizations: FP8

  • Engines: vLLM

  • Model ID: zai-org/GLM-4.5-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-4.5 --size-in-billions 355 --model-format fp8 --quantization ${quantization}

Model Spec 3 (mlx, 355 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 355

  • Quantizations: 4bit

  • Engines: MLX

  • Model ID: mlx-community/GLM-4.5-{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-4.5 --size-in-billions 355 --model-format mlx --quantization ${quantization}

Model Spec 4 (pytorch, 106 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 106

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: zai-org/GLM-4.5-Air

  • 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-4.5 --size-in-billions 106 --model-format pytorch --quantization ${quantization}

Model Spec 5 (fp8, 106 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 106

  • Quantizations: FP8

  • Engines: vLLM

  • Model ID: zai-org/GLM-4.5-Air-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-4.5 --size-in-billions 106 --model-format fp8 --quantization ${quantization}

Model Spec 6 (mlx, 106 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 106

  • Quantizations: 2bit, 3bit, 4bit, 5bit, 8bit

  • Engines: MLX

  • Model ID: mlx-community/GLM-4.5-Air-{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-4.5 --size-in-billions 106 --model-format mlx --quantization ${quantization}