gemma-2-it#

  • Context Length: 8192

  • Model Name: gemma-2-it

  • Languages: en

  • Abilities: chat

  • Description: Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Specifications#

Model Spec 1 (pytorch, 2 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 2

  • Quantizations: none, 4-bit, 8-bit

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: google/gemma-2-2b-it

  • 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 gemma-2-it --size-in-billions 2 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 9 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 9

  • Quantizations: none, 4-bit, 8-bit

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: google/gemma-2-9b-it

  • 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 gemma-2-it --size-in-billions 9 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 27 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 27

  • Quantizations: none, 4-bit, 8-bit

  • Engines: vLLM, Transformers, SGLang (vLLM and SGLang only available for quantization none)

  • Model ID: google/gemma-2-27b-it

  • 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 gemma-2-it --size-in-billions 27 --model-format pytorch --quantization ${quantization}

Model Spec 4 (ggufv2, 2 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 2

  • Quantizations: Q3_K_L, Q4_K_M, Q4_K_S, Q5_K_M, Q5_K_S, Q6_K, Q6_K_L, Q8_0, f32

  • Engines: llama.cpp

  • Model ID: bartowski/gemma-2-2b-it-GGUF

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 2 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (ggufv2, 9 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 9

  • Quantizations: Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, 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, f32

  • Engines: llama.cpp

  • Model ID: bartowski/gemma-2-9b-it-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 gemma-2-it --size-in-billions 9 --model-format ggufv2 --quantization ${quantization}

Model Spec 6 (ggufv2, 27 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 27

  • Quantizations: Q2_K, Q2_K_L, Q3_K_L, Q3_K_M, Q3_K_S, 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, f32

  • Engines: llama.cpp

  • Model ID: bartowski/gemma-2-27b-it-GGUF

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 27 --model-format ggufv2 --quantization ${quantization}

Model Spec 7 (mlx, 2 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 2

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-2b-it-4bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 2 --model-format mlx --quantization ${quantization}

Model Spec 8 (mlx, 2 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 2

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-2b-it-8bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 2 --model-format mlx --quantization ${quantization}

Model Spec 9 (mlx, 2 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 2

  • Quantizations: None

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-2b-it

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 2 --model-format mlx --quantization ${quantization}

Model Spec 10 (mlx, 9 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 9

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-9b-it-4bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 9 --model-format mlx --quantization ${quantization}

Model Spec 11 (mlx, 9 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 9

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-9b-it-8bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 9 --model-format mlx --quantization ${quantization}

Model Spec 12 (mlx, 9 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 9

  • Quantizations: None

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-9b-it-fp16

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 9 --model-format mlx --quantization ${quantization}

Model Spec 13 (mlx, 27 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 27

  • Quantizations: 4-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-27b-it-4bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 27 --model-format mlx --quantization ${quantization}

Model Spec 14 (mlx, 27 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 27

  • Quantizations: 8-bit

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-27b-it-8bit

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 27 --model-format mlx --quantization ${quantization}

Model Spec 15 (mlx, 27 Billion)#

  • Model Format: mlx

  • Model Size (in billions): 27

  • Quantizations: None

  • Engines: MLX

  • Model ID: mlx-community/gemma-2-27b-it-fp16

  • Model Hubs: Hugging Face

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 gemma-2-it --size-in-billions 27 --model-format mlx --quantization ${quantization}