Ernie4.5#

  • Context Length: 131072

  • Model Name: Ernie4.5

  • Languages: en, zh

  • Abilities: chat

  • Description: ERNIE 4.5, a new family of large-scale multimodal models comprising 10 distinct variants.

Specifications#

Model Spec 1 (pytorch, 0_3 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 0_3

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: baidu/ERNIE-4.5-0.3B-PT

  • 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 Ernie4.5 --size-in-billions 0_3 --model-format pytorch --quantization ${quantization}

Model Spec 2 (ggufv2, 0_3 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 0_3

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, F16

  • Engines: vLLM, llama.cpp

  • Model ID: unsloth/ERNIE-4.5-0.3B-PT-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 Ernie4.5 --size-in-billions 0_3 --model-format ggufv2 --quantization ${quantization}

Model Spec 3 (mlx, 0_3 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 0_3

  • Quantizations: 4bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/ERNIE-4.5-0.3B-PT-{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 Ernie4.5 --size-in-billions 0_3 --model-format mlx --quantization ${quantization}

Model Spec 4 (pytorch, 21 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 21

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: baidu/ERNIE-4.5-21B-A3B-Base-PT

  • 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 Ernie4.5 --size-in-billions 21 --model-format pytorch --quantization ${quantization}

Model Spec 5 (ggufv2, 21 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 21

  • Quantizations: Q2_K, Q2_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q8_0, BF16

  • Engines: vLLM, llama.cpp

  • Model ID: unsloth/ERNIE-4.5-21B-A3B-PT-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 Ernie4.5 --size-in-billions 21 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (mlx, 21 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 21

  • Quantizations: 4bit, 5bit, 6bit, 8bit, bf16

  • Engines: MLX

  • Model ID: mlx-community/ERNIE-4.5-21B-A3B-PT-{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 Ernie4.5 --size-in-billions 21 --model-format mlx --quantization ${quantization}

Model Spec 7 (pytorch, 300 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 300

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: baidu/ERNIE-4.5-300B-A47B-PT

  • 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 Ernie4.5 --size-in-billions 300 --model-format pytorch --quantization ${quantization}

Model Spec 8 (ggufv2, 300 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 300

  • Quantizations: Q2_K, Q4_K_M, Q6_K, Q8_0

  • Engines: vLLM, llama.cpp

  • Model ID: unsloth/ERNIE-4.5-300B-A47B-PT-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 Ernie4.5 --size-in-billions 300 --model-format ggufv2 --quantization ${quantization}

Model Spec 9 (mlx, 300 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 300

  • Quantizations: 4bit

  • Engines: MLX

  • Model ID: mlx-community/ERNIE-4.5-300B-47B-PT-{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 Ernie4.5 --size-in-billions 300 --model-format mlx --quantization ${quantization}