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Inference · memory estimate
vertex_ai/meta/llama-3.1-8b-instruct-maas
Not enough verified architecture information for a reliable VRAM estimate.
Capabilities
Maximum input
128,000 tokens*
Maximum output
2,048 tokens*
API mode
Chat*
Image input
Yes*
System messages
Yes*
Tool choice
Yes*
System configuration
Detailed specifications
Specifications · 11 fields
input cost per token
0.0*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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-llama_models*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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
128,000*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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
2,048*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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
2,048*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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.*
metadata
notes
VertexAI states that The Llama 3.1 API service for llama-3.1-70b-instruct-maas and llama-3.1-8b-instruct-maas are in public preview and at no cost.*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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 system messages
Yes*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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
Yes*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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 vision
Yes*Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.1-8b-instruct-maas*
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.*