Spark-X2.5#

  • Context Length: 1048576

  • Model Name: Spark-X2.5

  • Languages: en, zh

  • Abilities: chat, tools, reasoning, hybrid

  • Description: Spark-X2.5 is a compact general-purpose instruction model series with 1.7B and 4B checkpoints, native 1M-token context, reasoning, and tool-use support.

Specifications#

Model Spec 1 (pytorch, 1_7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1_7

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XHToken/Spark-X2.5-1.7B

  • 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 Spark-X2.5 --size-in-billions 1_7 --model-format pytorch --quantization ${quantization}

Model Spec 2 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XHToken/Spark-X2.5-4B

  • 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 Spark-X2.5 --size-in-billions 4 --model-format pytorch --quantization ${quantization}

Model Spec 3 (pytorch, 1_7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 1_7

  • Quantizations: Int8

  • Engines: Transformers

  • Model ID: XHToken/Spark-X2.5-1.7B-INT8

  • 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 Spark-X2.5 --size-in-billions 1_7 --model-format pytorch --quantization ${quantization}

Model Spec 4 (pytorch, 4 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 4

  • Quantizations: Int8

  • Engines: Transformers

  • Model ID: XHToken/Spark-X2.5-4B-INT8

  • 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 Spark-X2.5 --size-in-billions 4 --model-format pytorch --quantization ${quantization}

Model Spec 5 (fp8, 1_7 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 1_7

  • Quantizations: FP8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XHToken/Spark-X2.5-1.7B-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 Spark-X2.5 --size-in-billions 1_7 --model-format fp8 --quantization ${quantization}

Model Spec 6 (fp8, 4 Billion)#

  • Model Format: fp8

  • Model Size (in billions): 4

  • Quantizations: FP8

  • Engines: vLLM, Transformers, SGLang

  • Model ID: XHToken/Spark-X2.5-4B-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 Spark-X2.5 --size-in-billions 4 --model-format fp8 --quantization ${quantization}

Model Spec 7 (ggufv2, 1_7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 1_7

  • Quantizations: Q4_K_M, Q8_0

  • Engines: vLLM, llama.cpp

  • Model ID: XHToken/Spark-X2.5-1.7B-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 Spark-X2.5 --size-in-billions 1_7 --model-format ggufv2 --quantization ${quantization}

Model Spec 8 (ggufv2, 4 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 4

  • Quantizations: Q4_K_M, Q8_0

  • Engines: vLLM, llama.cpp

  • Model ID: XHToken/Spark-X2.5-4B-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 Spark-X2.5 --size-in-billions 4 --model-format ggufv2 --quantization ${quantization}