skywork-or1-preview#

  • Context Length: 32768

  • Model Name: skywork-or1-preview

  • Languages: en, zh

  • Abilities: chat

  • Description: The Skywork-OR1 (Open Reasoner 1) model series consists of powerful math and code reasoning models trained using large-scale rule-based reinforcement learning with carefully designed datasets and training recipes.

Specifications#

Model Spec 1 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Skywork/Skywork-OR1-32B-Preview

  • 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 skywork-or1-preview --size-in-billions 32 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 32 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 32

  • Quantizations: Int4, int8

  • Engines: vLLM, Transformers

  • Model ID: JunHowie/Skywork-OR1-32B-Preview-GPTQ-{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 skywork-or1-preview --size-in-billions 32 --model-format gptq --quantization ${quantization}

Model Spec 3 (pytorch, 7 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 7

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: Skywork/Skywork-OR1-7B-Preview

  • 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 skywork-or1-preview --size-in-billions 7 --model-format pytorch --quantization ${quantization}

Model Spec 4 (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/Skywork_Skywork-OR1-32B-Preview-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 skywork-or1-preview --size-in-billions 32 --model-format ggufv2 --quantization ${quantization}

Model Spec 5 (ggufv2, 7 Billion)#

  • Model Format: ggufv2

  • Model Size (in billions): 7

  • 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/Skywork_Skywork-OR1-7B-Preview-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 skywork-or1-preview --size-in-billions 7 --model-format ggufv2 --quantization ${quantization}