GLM-4.6#
Context Length: 202752
Model Name: GLM-4.6
Languages: en, zh
Abilities: chat, reasoning, hybrid, tools
Description: GLM-4.6 significantly enhances context length (up to 200K tokens), code generation, reasoning with tool use, agent capabilities, and human-aligned writing compared to GLM-4.5.
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-4.6
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-4.6 --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-4.6-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-4.6 --size-in-billions 355 --model-format fp8 --quantization ${quantization}
Model Spec 3 (gptq, 355 Billion)#
Model Format: gptq
Model Size (in billions): 355
Quantizations: Int4-Int8Mix
Engines: vLLM, Transformers
Model ID: QuantTrio/GLM-4.6-GPTQ-Int4-Int8Mix
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-4.6 --size-in-billions 355 --model-format gptq --quantization ${quantization}
Model Spec 4 (awq, 355 Billion)#
Model Format: awq
Model Size (in billions): 355
Quantizations: Int4
Engines: vLLM, Transformers
Model ID: QuantTrio/GLM-4.6-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-4.6 --size-in-billions 355 --model-format awq --quantization ${quantization}
Model Spec 5 (mlx, 355 Billion)#
Model Format: mlx
Model Size (in billions): 355
Quantizations: 4bit, 5bit
Engines: MLX
Model ID: mlx-community/GLM-4.6-{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-4.6 --size-in-billions 355 --model-format mlx --quantization ${quantization}