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Modelli IA
Unspecified

deepinfra/meta-llama/Meta-Llama-3-8B-Instruct

Modello IA

Modalità API
Chat*
Output massimo
8.192 tokens*

Non sono ancora disponibili benchmark associati a questa scheda.

Esecuzione locale

Inferenza · stima della memoria

deepinfra/meta-llama/Meta-Llama-3-8B-Instruct

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

Capacità

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

Configurazione di sistema

Specifiche dettagliate

Specifiche · 9 campi
input cost per token
3,0e-8*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
deepinfra*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
8.192*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
8.192*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
6,0e-8*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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 function calling
Sì*
Ambito e condizioni
native_context
provider
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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
deepinfra*
mode
chat*
full_native_model_id
deepinfra/meta-llama/Meta-Llama-3-8B-Instruct*
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