Llama 3.2 1B Instruct
/v1/chat/completionsLlama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to meta/llama-3.2-1b-instruct.
Default: meta/llama-3.2-1b-instruct
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 60000
Sampling temperature. Lower values are more deterministic; higher values are more creative.
Range: 0 to 2
Default: 1
Nucleus sampling threshold. Use this or temperature, but usually not both.
Range: 0 to 1
When true, returns incremental Server-Sent Events instead of one completed response.
Default: false
Penalizes tokens that already appeared, encouraging the model to introduce new topics.
Range: -2 to 2
Penalizes repeated tokens, reducing repetition in the generated response.
Range: -2 to 2
Seed used to make sampling more reproducible when the provider supports it.
Request parameter supported by this model.
Range: 0 to ∞
Response Schema
Fields returned by this model API response.
Generated completion choices.
Unique chat completion identifier.
Model that generated the response.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat
Maximum context window accepted by this model.
Default: 60000 tokens
Execution mode declared by the model registry.
Default: sync

