AI21: Jamba Large 1.7
/v1/chat/completionsJamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more accurate, contextually grounded responses and better steerability than previous versions.
Request body
Parameters supported by this model. Values, defaults, and limits are read from the model registry.
Model identifier. Set to ai21/jamba-large-1.7.
Default: ai21/jamba-large-1.7
Conversation messages in system, user, or assistant order.
Maximum number of tokens the model may generate in the response.
Range: −∞ to 4096
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
Tool definitions that the model may call during the response.
Controls whether the model may call a tool and, when supported, which tool it must call.
Controls the response format, including JSON mode or structured JSON output when supported.
Sequences that stop generation when the model produces one of them.
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, structured_output, function_calling
Maximum context window accepted by this model.
Default: 256000 tokens
Execution mode declared by the model registry.
Default: sync

