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Modelli IA
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gigachat/EmbeddingsGigaR

Modello IA

Modalità API
Embedding*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

gigachat/EmbeddingsGigaR

Informazioni verificate sull’architettura insufficienti per una stima affidabile della VRAM.

Capacità

Input massimo
4.096 tokens*
Modalità API
Embedding*

Configurazione di sistema

Specifiche dettagliate

Specifiche · 7 campi
input cost per token
0,0*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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
gigachat*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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
4.096*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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
4.096*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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
embedding*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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
0,0*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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 vector size
2.560*
Ambito e condizioni
native_context
provider
gigachat*
mode
embedding*
full_native_model_id
gigachat/EmbeddingsGigaR*
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.*

* Dati provvisori