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AI models
Unspecified

fireworks-ai-embedding-150m-to-350m

AI model

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

fireworks-ai-embedding-150m-to-350m

Not enough verified architecture information for a reliable VRAM estimate.

System configuration

Detailed specifications

Specifications · 3 fields
input cost per token
1.6e-8*
Scope and conditions
native_context
provider
fireworks_ai-embedding-models*
full_native_model_id
fireworks-ai-embedding-150m-to-350m*
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
fireworks_ai-embedding-models*
Scope and conditions
native_context
provider
fireworks_ai-embedding-models*
full_native_model_id
fireworks-ai-embedding-150m-to-350m*
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
fireworks_ai-embedding-models*
full_native_model_id
fireworks-ai-embedding-150m-to-350m*
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