GeekRadar / Il banco di confronto
CONFRONTA.
Modelli IA
Unspecified

medlm-large

Modello IA

Modalità API
Chat*
Output massimo
1.024 tokens*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

medlm-large

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

Capacità

Input massimo
8.192 tokens*
Output massimo
1.024 tokens*
Modalità API
Chat*
Scelta degli strumenti
Sì*

Configurazione di sistema

Specifiche dettagliate

Specifiche · 8 campi
input cost per character
5,0e-6*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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-language-models*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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
8.192*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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
1.024*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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
1.024*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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-language-models*
mode
chat*
full_native_model_id
medlm-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 character
1,5e-5*
Ambito e condizioni
native_context
provider
vertex_ai-language-models*
mode
chat*
full_native_model_id
medlm-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-language-models*
mode
chat*
full_native_model_id
medlm-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.*

* Dati provvisori