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Esecuzione locale
Inferenza · stima della memoria
vertex_ai/jamba-1.5-large
Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.
Capacità
Input massimo
256.000 tokens*
Output massimo
256.000 tokens*
Modalità API
Chat*
Scelta degli strumenti
Sì*
Configurazione di sistema
Specifiche dettagliate
Specifiche · 9 campi
deprecation date
2026-02-27*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
input cost per token
2,0e-6*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
vertex_ai-ai21_models*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
256.000*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
256.000*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
256.000*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
8,0e-6*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Sì*Ambito e condizioni
native_context
provider
vertex_ai-ai21_models*
mode
chat*
full_native_model_id
vertex_ai/jamba-1.5-large*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*