Initial public ModelForge release
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# Runtime Compatibility
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## Evidence model
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`RuntimeCompatibilityAssessment` records the exact ArtifactSet, RuntimeProfile, ComputeNode,
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adapter/version, artifact and hardware snapshots, blockers, warnings, approvals, static result and a
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canonical environment fingerprint. It distinguishes runtime-declared support from locally proven
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support. Static analysis never claims a model was loaded.
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## Common checks
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- complete, locally available and integrity-verified exact ArtifactSet;
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- no quarantined/corrupt member, unapproved pickle or remote-code requirement;
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- all registered artifact locations belong to the target node;
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- online, enabled and lab-eligible node advertising `runtime.probe.v1`;
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- GPU presence for CUDA-required profiles, compute capability, driver/CUDA compatibility and VRAM;
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- environment package, modality and serialization-format declarations;
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- required model configuration/tokenizer/processor files and shard-index presence;
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- requested quantization evidence.
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Resource estimates are stored as `kind=estimated`; only a real probe produces `kind=measured`.
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## Runtime-specific inspectors
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- SentenceTransformers requires safe Transformers files plus `modules.json` and pooling config.
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- Transformers requires config, tokenizer and Safetensors weights.
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- vLLM uses Transformers-format checks but remains `requires_probe` until proven for the task.
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- llama.cpp requires a local GGUF variant; Safetensors alone yields `NO_GGUF_ARTIFACT_VARIANT`.
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- Diffusers requires a pipeline `model_index.json`; an embedding repository is blocked.
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- custom runners never receive an implicit compatibility claim.
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## Staleness
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Every read recomputes the canonical fingerprint from current immutable profile/environment identity,
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artifact evidence and hardware facts. Driver, CUDA, GPU, node state, artifact security/integrity,
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image or profile changes make prior evidence stale. A stale assessment cannot queue a probe.
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