.. _models_llm_fin-r1: ======================================== fin-r1 ======================================== - **Context Length:** 131072 - **Model Name:** fin-r1 - **Languages:** en, zh - **Abilities:** chat - **Description:** Fin-R1 is a large language model specifically designed for the field of financial reasoning Specifications ^^^^^^^^^^^^^^ Model Spec 1 (pytorch, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** pytorch - **Model Size (in billions):** 7 - **Quantizations:** none - **Engines**: vLLM, Transformers, SGLang - **Model ID:** SUFE-AIFLM-Lab/Fin-R1 - **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 fin-r1 --size-in-billions 7 --model-format pytorch --quantization ${quantization} Model Spec 2 (gptq, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** gptq - **Model Size (in billions):** 7 - **Quantizations:** Int4, Int8 - **Engines**: vLLM, Transformers, SGLang - **Model ID:** JunHowie/Fin-R1-GPTQ-{quantization} - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name fin-r1 --size-in-billions 7 --model-format gptq --quantization ${quantization} Model Spec 3 (fp8, 7 Billion) ++++++++++++++++++++++++++++++++++++++++ - **Model Format:** fp8 - **Model Size (in billions):** 7 - **Quantizations:** FP8 - **Engines**: vLLM, SGLang - **Model ID:** JunHowie/Fin-R1-FP8-Dynamic - **Model Hubs**: `Hugging Face `__, `ModelScope `__ Execute the following command to launch the model, remember to replace ``${quantization}`` with your chosen quantization method from the options listed above:: xinference launch --model-engine ${engine} --model-name fin-r1 --size-in-billions 7 --model-format fp8 --quantization ${quantization}