glm4-0414#

  • Context Length: 32768

  • Model Name: glm4-0414

  • Languages: en, zh

  • Abilities: chat, tools

  • Description: The GLM family welcomes new members, the GLM-4-32B-0414 series models, featuring 32 billion parameters. Its performance is comparable to OpenAI’s GPT series and DeepSeek’s V3/R1 series

Specifications#

Model Spec 1 (pytorch, 9 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 9

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: THUDM/GLM-4-9B-0414

  • 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 glm4-0414 --size-in-billions 9 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: THUDM/GLM-4-32B-0414

  • 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 glm4-0414 --size-in-billions 32 --model-format pytorch --quantization ${quantization}

Model Spec 3 (mlx, 9 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 9

  • Quantizations: 4bit, 6bit, 8bit, bf16

  • Engines:

  • Model ID: mlx-community/GLM-4-9B-0414-{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 glm4-0414 --size-in-billions 9 --model-format mlx --quantization ${quantization}

Model Spec 4 (mlx, 32 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 32

  • Quantizations: 4bit, 8bit

  • Engines:

  • Model ID: mlx-community/GLM-4-32B-0414-{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 glm4-0414 --size-in-billions 32 --model-format mlx --quantization ${quantization}

Model Spec 5 (ggufv2, 9 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 9

  • Quantizations: IQ2_M, IQ3_M, IQ3_XS, IQ3_XXS, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, Q3_K_XL, Q4_0, Q4_1, Q4_K_L, Q4_K_M, Q4_K_S, Q5_K_L, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0, bf16

  • Engines: vLLM, llama.cpp

  • Model ID: bartowski/THUDM_GLM-4-9B-0414-GGUF

  • 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 glm4-0414 --size-in-billions 9 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (ggufv2, 32 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 32

  • Quantizations: IQ2_M, IQ2_S, IQ2_XS, IQ3_M, IQ3_XS, IQ3_XXS, IQ4_NL, IQ4_XS, Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, Q3_K_XL, Q4_0, Q4_1, Q4_K_L, Q4_K_M, Q4_K_S, Q5_K_L, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0

  • Engines: vLLM, llama.cpp

  • Model ID: bartowski/THUDM_GLM-4-9B-0414-GGUF

  • 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 glm4-0414 --size-in-billions 32 --model-format ggufv2 --quantization ${quantization}