.. _models_llm_deepseek-r1-0528: ======================================== deepseek-r1-0528 ======================================== - **Context Length:** 163840 - **Model Name:** deepseek-r1-0528 - **Languages:** en, zh - **Abilities:** chat, reasoning, tools - **Description:** DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 671 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 671 - **Quantizations:** none - **Engines**: vLLM, Transformers, SGLang - **Model ID:** deepseek-ai/DeepSeek-R1-0528 - **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 deepseek-r1-0528 --size-in-billions 671 --model-format pytorch --quantization ${quantization} Model Spec 2 (gptq, 671 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 671 - **Quantizations:** Int4-Int8Mix-Lite, Int4-Int8Mix-Compact, Int4-Int8Mix-Medium - **Engines**: vLLM, Transformers, SGLang - **Model ID:** QuantTrio/DeepSeek-R1-0528-GPTQ-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name deepseek-r1-0528 --size-in-billions 671 --model-format gptq --quantization ${quantization}