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AI models
Unspecified

bespoke/nimble

AI model

API mode
Evaluation service*

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

bespoke/nimble

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Maximum input
8,192 tokens*
API mode
Evaluation service*

System configuration

Detailed specifications

Specifications · 7 fields
input cost per token
0.0*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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
bespoke*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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
Self-hosted decision model under the name Ollama serves it as; infrastructure costs are paid separately*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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
evaluation*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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.*
supported endpoints
  • /v1/systemone*
Scope and conditions
native_context
provider
bespoke*
mode
evaluation*
full_native_model_id
bespoke/nimble*
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.*

* Provisional data