gpt-oss#

  • Context Length: 131072

  • Model Name: gpt-oss

  • Languages: en

  • Abilities: chat, reasoning

  • Description: gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.

Specifications#

Model Spec 1 (pytorch, 20 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 20

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: openai/gpt-oss-20b

  • 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 gpt-oss --size-in-billions 20 --model-format pytorch --quantization ${quantization}

Model Spec 2 (bnb, 20 Billion)#

  • Model Format: bnb

  • Model Size (in billions): 20

  • Quantizations: 4-bit

  • Engines: vLLM, Transformers

  • Model ID: unsloth/gpt-oss-20b-bnb-4bit

  • 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 gpt-oss --size-in-billions 20 --model-format bnb --quantization ${quantization}

Model Spec 3 (pytorch, 120 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 120

  • Quantizations: none

  • Engines: vLLM, Transformers

  • Model ID: openai/gpt-oss-120b

  • 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 gpt-oss --size-in-billions 120 --model-format pytorch --quantization ${quantization}