GPT-OSS 120B
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About
GPT-OSS 120B is a large-scale open-source language model offering complete model transparency and local deployment capabilities. It handles natural language understanding, code generation, reasoning, and creative writing with adjustable generation parameters and 4000-token context. Organizations can fine-tune on proprietary data and maintain full control over model behavior for data security and compliance.
Percs
Creative
Efficient
Fast processing
High accuracy
Open weights
Versatile
Settings
Max Tokens- The maximum number of tokens the model should generate in the output. Higher values produce longer responses but may take more time. Range: 1-4096 tokens.
Temperature- Controls randomness in generation. Lower values (0.1-0.5) make output more focused and deterministic. Higher values (0.7-1.0) increase creativity and variation. Range: 0-2.
Presence Penalty- Penalizes tokens that have already appeared, encouraging new topics and ideas. Positive values increase topical diversity. Range: -2 to 2.
Frequency Penalty- Penalizes tokens based on how frequently they've appeared, reducing repetitive outputs. Positive values decrease word repetition. Range: -2 to 2.
Top P- Controls diversity via nucleus sampling. Lower values (0.1-0.5) make output more focused. Higher values (0.9-1.0) increase diversity. Alternative to temperature. Range: 0-1.
Context Capacity- Maximum context window size in tokens. This determines how much text the model can consider from the conversation history. Range: 1-4000 tokens.