glm-edge-v#

  • Context Length: 8192

  • Model Name: glm-edge-v

  • Languages: en, zh

  • Abilities: chat, vision

  • Description: The GLM-Edge series is our attempt to face the end-side real-life scenarios, which consists of two sizes of large-language dialogue models and multimodal comprehension models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B model is mainly for platforms such as mobile phones and cars, and the 4B / 5B model is mainly for platforms such as PCs.

Specifications#

Model Spec 1 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: THUDM/glm-edge-v-2b

  • 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-edge-v --size-in-billions 2 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 5 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 5

  • Quantizations: 4-bit, 8-bit, none

  • Engines: Transformers

  • Model ID: THUDM/glm-edge-v-5b

  • 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-edge-v --size-in-billions 5 --model-format pytorch --quantization ${quantization}

Model Spec 3 (ggufv2, 2 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 2

  • Quantizations: Q4_0, Q4_1, Q4_K, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K, Q5_K_M, Q5_K_S, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-2b-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 glm-edge-v --size-in-billions 2 --model-format ggufv2 --quantization ${quantization}

Model Spec 4 (ggufv2, 2 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 2

  • Quantizations: F16

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-2b-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 glm-edge-v --size-in-billions 2 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (ggufv2, 2 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 2

  • Quantizations: f16

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-2b-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 glm-edge-v --size-in-billions 2 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (ggufv2, 5 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 5

  • Quantizations: Q4_0, Q4_1, Q4_K, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K, Q5_K_M, Q5_K_S, Q6_K, Q8_0

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-5b-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 glm-edge-v --size-in-billions 5 --model-format ggufv2 --quantization ${quantization}

Model Spec 7 (ggufv2, 5 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 5

  • Quantizations: F16

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-5b-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 glm-edge-v --size-in-billions 5 --model-format ggufv2 --quantization ${quantization}

Model Spec 8 (ggufv2, 5 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 5

  • Quantizations: f16

  • Engines: llama.cpp

  • Model ID: THUDM/glm-edge-v-5b-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 glm-edge-v --size-in-billions 5 --model-format ggufv2 --quantization ${quantization}