Needle Point V10
This is the owner-approved interim production release of Needle Point V10.
It is a self-contained Needle Point .np artifact for CPU PyTorch inference.
The public model repository contains the model package and release manifests
only; the sealed evaluation corpus is stored separately in the private dataset
repository named in the release record.
Runtime policy
- PyTorch on CPU only
- FP32 weights and manual attention
- strict constrained decoding
- fail-closed fallback policy (
fallbacks=[]) - batch-one inference
- intra-op CPU threads exactly 1, 2, 3, or 4; canonical/default 4
- inter-op CPU threads fixed at 1
The quarantined native C++/HIP and ROCm paths are not production options or fallbacks for this release.
Artifact and provenance
- artifact:
automaticity-v10.np - artifact bytes: 108,589,056
- artifact SHA-256:
13966196b2efff5ca6bf5cefc19127dfad56e261f937e7f9684f8f12a6639672 - package-build manifest SHA-256:
20aa1326200fa9c0d3c63f7cd83c9988c1be5fcdd29002bd6a540e8a2a1ddfc4 - V10 package manifest SHA-256:
e5c84a61fa1034299133a0164c6900baba6fb5d2df26599e94d2844de3e350ee - artifact checksum sidecar SHA-256:
69687b7267860f9e9d4475d78a06fc52ef9159baae125de8a3d8ee03d4bd4d92 - private V10 corpus manifest identity:
3d7d275cde7fd6f9d3d6e2960fe318d2f2b168212ae35f18c80fe1faeb3cd8c2 - private V10 corpus manifest bytes SHA-256:
f78efbf78d2ac9bec41cd2ef29c03f1c71c454e44d39003272721ce8d9315285 - public Needle base-model SHA-256:
c5f9a3016e4537e492c362da5cb8ba05107d8595bec0d5ea5d8a65801db46531 - tokenizer SHA-256:
0823f5b9133c68a8140addc5d7a425fa9119c4c8cb4a550363b4bffa4ba1c8c7 - upstream training commit:
ffb1c5144c5a16cb8ec650dbc8a6f6fd3854f8f2
The complete provenance and immutable Hub revision are recorded in the
repository's docs/V10_RELEASE.md.
Evaluation status
This is an interim release and is not a claim that the mandatory gates passed. The one-shot V10 FINAL-BENCH result recorded:
- schema-valid: 1,050/1,050
- action full semantic exact: 268/312 (85.897%)
- action tool exact: 294/312 (94.231%)
- no-op exact: 733/738 (99.322%), failed against the required 100%
- no-op overcalls: 5, failed against the required 0
- total misses: 49 (44 action and 5 no-op)
The frozen target-host latency matrix also failed its raw <500 ms
p50/p95/p99 tails. At canonical four CPU threads the raw warm tails were
344.667 / 1,733.279 / 1,849.877 ms (p50/p95/p99). The owner-approved latency
exception is latency-only and does not rewrite these failures. The one-shot
FINAL sealed-run tails were 416.886 / 1,980.465 / 3,051.189 ms and are kept as
a separate identity, not mixed with the matrix.
Next-version work
Future work must improve no-op discrimination and action misses, reduce CPU PyTorch prefill and decode tail latency, and complete real FP32/upstream-JAX parity and production concurrency validation. A later release requires a newly authorized sealed evaluation identity; this model card does not authorize or claim a rerun.