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Model infoModelsSnapshot: 15 Oct 2026

ELYZA / ELYZA LLM

ELYZA-japanese-Llama-2-70b

Japanese-adapted Llama 2 model introduced in March 2024, with continued pretraining and instruction tuning.

historicalClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
8 of 21 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedELYZA LLM demo (historical)
Output billingNot collectedNo inferred price

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
Languages
JapaneseSource for Languages (opens in a new tab)

Documented focus, not an exhaustive supported-language list.

Context caching
Not collected

No public prompt-caching contract, lifetime or cached-input rate verified. Speculative decoding is not a published cache discount.

Published price
Not collected

No numeric production price verified for this exact model. Historical free demos do not establish free production inference.

Published training data
Approximately 100B tokens of additional Japanese pretrainingSource for Published training data (opens in a new tab)
servingOptimization
Speculative decoding on Amazon EC2 Inf2Source for servingOptimization (opens in a new tab)

Historical demo configuration, not a general hardware requirement or prompt cache feature.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

ELYZA LLM demo (historical)

Provider source (opens in a new tab)
API model ID
Not collected

Published model label is not a verified API request selector.

Access
Original demo and planned enterprise distribution. The demo later moved to newer models; no live endpoint for this checkpoint is verified.
Regions
Deployment-specific; no universal processing-region guarantee verified.

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 INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

ELYZA LLM demo (historical)

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

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

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 derivative, but no matching public checkpoint was verified in ELYZA’s reviewed weight inventory. Closed-weight classification is inferred for this exact model, not the public upstream Llama or Qwen weights. Research access and redistribution terms remain unverified.

Classification evidence (opens in a new tab)

Lifecycle dates

Demo announced12 Mar 2024Source (opens in a new tab)

Sources reviewed