Visual prediction instruction tuning; SigLIP visual embeddings, autoregressive language/vision heads and an adapted diffusion visualizerSource for Architecture (opens in a new tab)
Languages
Not collected
Context caching
Not collected
No model-specific inference service or discounted prompt-cache contract is established for these research weights.
Descriptive catalog identity, not a verified selectable API ID.
Access
Train locally using published code and permissible data. The original authors’ trained weights are not currently supplied by the reviewed repository.
Regions
Research deployment only; public availability and residency are not established
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
The cited research release does not supply a current production processing/retention agreement. Research access or an expired demonstration is not a production API entitlement.
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.
Meta · research reference
Not verified
No published service cache policy for this research record.
How it works
Not collected
No published service cache policy for this research record.
Minimum reusable input
Not collected
No published service cache policy for this research record.
Lifetime & refresh
Not collected
No published service cache policy for this research record.
How to enable it
Not collected
No published service cache policy for this research record.
Usage fields
Not collected
No published service cache policy for this research record.
Billing rules
Not collected
No published service cache policy for this research record.
Limits & data boundaries
Not collected
No published service cache policy for this research record.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
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
The official facebookresearch repository explicitly says original model weights are still being prepared for release. Research code is public under CC-BY-NC 4.0, and the Llama, SigLIP and diffusion base components are separately available; this record covers the unreleased trained MetaMorph adaptation, not those open base weights.