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

  • 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

  • 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

  • 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}