.. _models_llm_skywork-or1-preview: ======================================== 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, SGLang - **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 ${quantization} Model Spec 2 (gptq, 32 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 32 - **Quantizations:** Int4, int8 - **Engines**: vLLM, Transformers, SGLang - **Model ID:** JunHowie/Skywork-OR1-32B-Preview-GPTQ-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${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 ${quantization} Model Spec 3 (pytorch, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 7 - **Quantizations:** none - **Engines**: vLLM, Transformers, SGLang - **Model ID:** Skywork/Skywork-OR1-7B-Preview - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${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}