/ Ricoh / Ricoh-13B + Ricoh instruction data Ricoh / Ricoh LLM
Ricoh-13B + Ricoh instruction data Separately evaluated instruction-tuned Ricoh-13B research variant. The descriptive suffix identifies its training dataset, not a commercial API ID.
historical Closed weights Text generation
Context window Not collected Awaiting source review
Maximum output Not collected Awaiting source review
Input billing Not collected Ricoh instruction-tuning research
Output billing Not collected No inferred price
Specifications Access & pricing Caching Evaluation Sources & lifecycle
Specifications Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.
Context / input limit Not collected
Maximum input tokens Not collected
Maximum output Not collected
Reasoning Not collected
Tool calling Not collected
Structured output Not collected
Streaming Not collected
Batch processing Not collected
Fine-tuning Not collected
Knowledge cutoff Not collected
Architecture Not collected Context caching Not collected No model-specific prompt-cache contract, lifetime or cached-input price verified. Quantization and image-token compression are not prompt caching.
Published price Not collected No numeric model-specific production rate verified. Private deployment does not establish free inference.
Access & pricing Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.
API model ID Not collectedPublished model name is not a verified API request selector.
Access Distinct evaluation variant from the June 2024 report; production access to this exact checkpoint is not verified.
Regions Customer-selected private environment; region and residency depend on the deployment agreement. Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.
Caching Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.
01 / INITIAL INPUT Process & retain The system processes eligible input and retains reusable state.
02 / LATER REQUEST Check available state Reuse depends on matching input, session state and the cache policy.
03 / CACHE HIT Reuse & generate Reusing state can reduce repeated work. Any charges follow the billing rules below.
Ricoh instruction-tuning research Not verified
How it works Not collected
Minimum reusable input Not collected
Lifetime & refresh Not collected
How to enable it Not collected
Usage fields Not collected
Billing rules Not collected
Limits & data boundaries Not collected No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 14 Oct 2026
What the measurements say
ELYZA-tasks-100 Ricoh · vendor-reported 2.87score / 5 June 2024 provider experiment; each dataset tunes the base separately, not a combined final checkpoint.
Evaluation source (opens in a new tab)
News summarization ROUGE-L Ricoh · vendor-reported 24.63ROUGE-L score Provider summary evaluation, table 2; not a general chat benchmark.
Evaluation source (opens in a new tab)
Paper summarization ROUGE-L Ricoh · vendor-reported 30.42ROUGE-L score Provider long-document summary evaluation, table 2.
Evaluation source (opens in a new tab) Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.
The record behind the model Why it is included Provider identifies this separately trained model for research or private deployment. No matching public derivative was verified in the two provider-linked weight inventories. Closed-weight classification is inferred for this exact revision, not its public upstream base; private distribution terms remain to be confirmed.
Classification evidence (opens in a new tab) Lifecycle dates Sources reviewed 