{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "dora-spinquant-and-adapter-merging", "status": "proposal_only", "records": [ {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.pack", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:dora-spinquant-and-adapter-merging", "role:pack", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "pack", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "A collection of nouns and verbs for Walsh-Hadamard outlier rotation quantization, weight-decomposed low-rank adapter analysis and subspace interference routing across static fusion and co-resident switching", "lets_workers": "Suppress heavy-tailed weight and activation channel outliers via orthogonal Walsh-Hadamard rotations with deterministic Rademacher sign flips before 4-bit symmetric quantization, decompose low-rank (B @ A) updates into directional unit vectors and column magnitudes (DoRA), and route multi-adapter pools between static TIES fusion and dynamic co-resident switching using Frobenius cosine and sign-conflict density thresholds.", "flow": [{"verb": "dora-spinquant-and-adapter-merging.rotate-outliers-and-quantize-weights", "when": "Apply Sylvester Walsh-Hadamard orthogonal rotation with deterministic sign flips and measure low-bit quantization MSE reduction against unrotated channel matrices."}, {"verb": "dora-spinquant-and-adapter-merging.decompose-dora-and-route-adapter-subspaces", "when": "Decompose low-rank adapter updates into column magnitude and unit-direction shifts and route adapter pairs between ties_static_merge and dynamic_co_resident_switch."}, {"verb": "dora-spinquant-and-adapter-merging.verify-quantization-merge-and-ast-gate", "when": "Independently verify orthogonal round-trip fidelity, 4-bit MSE reduction, TIES routing receipts and ZeroHardcodedValuesAstGate conformance."}], "guardrails": [{"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.guardrail.co-resident-switch-on-high-subspace-interference", "version": 1, "value_sha256": "d198fcc166f4bf7db130fb6fba594af5075e70b908c7e7f83d1244bd3f4e3394"}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.guardrail.zero-inline-quantization-magic-literals", "version": 1, "value_sha256": "8f4cc3f6a081edc11b77ccd14a09ed69e54a8f7216724c66dc609e18fa53449e"}], "tool": {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.tool.adapter-quant-and-merge", "version": 1, "value_sha256": "1a1cc9e364cdcf3e8ab591039f7d697e137b53931e6d8cd2ba16ab97fe4d7ac4"}, "worked_example": "Synthetic 64-channel heavy-tailed outlier matrix, 4x4 DoRA probe and orthogonal/conflicting adapter pairs recomputed in test_adapter_quant_and_merge.py: SpinQuant Walsh-Hadamard rotation lowers max-to-RMS from 12.578755 to 2.166179, collapses excess kurtosis from 103.842906 to -1.034782, reduces 4-bit symmetric quantization MSE by 10.039322x (0.231252 -> 0.023035), decomposes DoRA directional/magnitude deltas (ratio 0.857493), and routes orthogonal adapters to ties_static_merge while routing sign-conflicting adapters to dynamic_co_resident_switch.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. 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Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.spec.spinquant-dora-ties-grid", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:dora-spinquant-and-adapter-merging", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Specification: FastWalshHadamardOutlierRotator, WeightDecomposedLoraAnalyzer and SubspaceInterferenceAndMergeRouter invariants", "category_reason": "Defines orthogonality, 4-bit MSE suppression, column-norm DoRA decomposition and TIES routing invariants.", "components": ["FastWalshHadamardOutlierRotator", "WeightDecomposedLoraAnalyzer", "SubspaceInterferenceAndMergeRouter"], "default_quant_bits": 4, "synthetic_channel_dim": 64, "ties_default_trim_density": 0.5, "max_cosine_for_static_merge": 0.3, "max_sign_conflict_for_static_merge": 0.25, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.rules.outlier-rotation-and-interference-routing", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:dora-spinquant-and-adapter-merging", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Deterministic Walsh-Hadamard outlier rotation, DoRA decomposition and TIES interference routing rules", "category_reason": "Zero-model mathematical procedure for low-bit quantization preparation and multi-adapter serving selection.", "rotation_formula": "W_rot = (W * diag(s)) @ H_d / sqrt(d) with s_j in {-1, +1}", "dora_formula": "W_dora[:, j] = m_j * ((W_0 + scale * B @ A)[:, j] / ||(W_0 + scale * B @ A)[:, j]||_2)", "routing_decision": {"low_cosine_and_low_sign_conflict": "ties_static_merge", "high_cosine_or_sign_conflict": "dynamic_co_resident_switch"}, "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. 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Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.tool.adapter-quant-and-merge", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:dora-spinquant-and-adapter-merging", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Tool card: standard-library SpinQuant Walsh-Hadamard rotator, DoRA analyzer and TIES interference router", "category_reason": "Tested Python 3.10+ standard-library package pinned by path, file count and SHA-256.", "name": "DoRA, SpinQuant and adapter merging", "code": {"path": "packs/dora-spinquant-and-adapter-merging/code", "files": 12, "sha256": "8928bec197826d011faa49814e54f89c281538f75157628e9c395e469d894a13"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m adapter_quant_and_merge --bundle BUNDLE.json"], "does": ["Implements FastWalshHadamardOutlierRotator with Sylvester Hadamard butterflies, deterministic sign flips, kurtosis/max-to-RMS diagnostics and 4-bit symmetric uniform quantization MSE evaluation.", "Implements WeightDecomposedLoraAnalyzer computing column-wise magnitude and directional cosine learning ratios from (B @ A) low-rank updates.", "Implements SubspaceInterferenceAndMergeRouter computing flattened Frobenius cosine similarity, TIES trim-elect-merge sign-conflict density and static-vs-dynamic routing."], "does_not": ["Perform network I/O, invoke external tensor runtimes or inline hardcoded numeric thresholds."], "code_license": "MIT", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "verifies", "target_id": "seedpack.dora-spinquant-and-adapter-merging/dora-spinquant-and-adapter-merging.v0.1.0.spec.spinquant-dora-ties-grid", "target_category": "noun.benchmark_suite", "note": ""}]}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.template.adapter-quant-merge-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:dora-spinquant-and-adapter-merging", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Template: Walsh-Hadamard 4-bit quantization, DoRA decomposition and TIES interference routing receipt", "describes": "a deterministic receipt recording before/after Walsh-Hadamard outlier metrics, 4-bit quantization MSE reduction, DoRA directional/magnitude shifts and adapter interference routing", "schema": {"type": "object", "additionalProperties": false, "required": ["unrotated_max_to_rms", "rotated_max_to_rms", "unrotated_excess_kurtosis", "rotated_excess_kurtosis", "unrotated_quant_mse", "rotated_quant_mse", "mse_reduction_factor", "dora_directional_cosine_delta", "dora_relative_magnitude_delta", "dora_directional_to_magnitude_ratio", "orthogonal_frobenius_cosine", "orthogonal_sign_conflict_density", "orthogonal_route", "conflicting_frobenius_cosine", "conflicting_sign_conflict_density", "conflicting_route"], "properties": {"unrotated_max_to_rms": {"type": "number", "minimum": 0.0}, "rotated_max_to_rms": {"type": "number", "minimum": 0.0}, "unrotated_excess_kurtosis": {"type": "number"}, "rotated_excess_kurtosis": {"type": "number"}, "unrotated_quant_mse": {"type": "number", "minimum": 0.0}, "rotated_quant_mse": {"type": "number", "minimum": 0.0}, "mse_reduction_factor": {"type": "number", "minimum": 1.0}, "dora_directional_cosine_delta": {"type": "number", "minimum": 0.0}, "dora_relative_magnitude_delta": {"type": "number", "minimum": 0.0}, "dora_directional_to_magnitude_ratio": {"type": "number", "minimum": 0.0}, "orthogonal_frobenius_cosine": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "orthogonal_sign_conflict_density": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "orthogonal_route": {"type": "string", "enum": ["ties_static_merge", "dynamic_co_resident_switch"]}, "conflicting_frobenius_cosine": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "conflicting_sign_conflict_density": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "conflicting_route": {"type": "string", "enum": ["ties_static_merge", "dynamic_co_resident_switch"]}}}, "example": {"unrotated_max_to_rms": 12.578755, "rotated_max_to_rms": 2.166179, "unrotated_excess_kurtosis": 103.842906, "rotated_excess_kurtosis": -1.034782, "unrotated_quant_mse": 0.231252, "rotated_quant_mse": 0.023035, "mse_reduction_factor": 10.039322, "dora_directional_cosine_delta": 0.142507, "dora_relative_magnitude_delta": 0.16619, "dora_directional_to_magnitude_ratio": 0.857493, "orthogonal_frobenius_cosine": 0.0, "orthogonal_sign_conflict_density": 0.0, "orthogonal_route": "ties_static_merge", "conflicting_frobenius_cosine": 0.999793, "conflicting_sign_conflict_density": 1.0, "conflicting_route": "dynamic_co_resident_switch"}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.example.adapter-quant-merge-bundle", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:dora-spinquant-and-adapter-merging", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Worked example input: 64-channel heavy-tailed outlier configuration, 4x4 DoRA probe and orthogonal/conflicting adapters", "category_reason": "Synthetic fixture recomputed by test_adapter_quant_and_merge.py.", "rotation_seed": 1729, "quant_bits": 4, "synthetic_rows": 16, "synthetic_cols": 64, "synthetic_outlier_channels": 1, "synthetic_outlier_scale": 32.0, "synthetic_seed": 42, "dora_probe": {"base_weights": [[1.0, 0.0, 1.0, 0.0], [0.0, 1.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], "lora_b": [[0.0, 0.0], [0.0, 0.0], [0.6, 0.0], [0.0, 0.6]], "lora_a": [[1.0, 0.0, -1.0, 0.0], [0.0, 1.0, 0.0, -1.0]], "lora_scale": 1.0}, "orthogonal_adapters": [[[0.8, 0.0, 0.0, 0.0], [0.6, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], [[0.0, 0.0, 0.7, 0.0], [0.0, 0.0, 0.0, -0.9], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]]], "conflicting_adapters": [[[0.9, -0.8, 0.7, -0.6], [0.5, -0.4, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], [[-0.85, 0.75, -0.65, 0.55], [-0.45, 0.35, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]]], "shows": "Synthetic heavy-tailed channel quantization, DoRA decomposition and multi-adapter interference routing workload.", "source": "Synthetic. 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Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.example.adapter-quant-merge-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:dora-spinquant-and-adapter-merging", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "dora-spinquant-and-adapter-merging", "pack_version": "0.1.0", "title": "Worked example output: recomputed 10.04x SpinQuant 4-bit MSE reduction, DoRA ratio and TIES routing receipt", "category_reason": "Synthetic receipt verified by test_adapter_quant_and_merge.py.", "conforms_to": {"store": "seedpack.dora-spinquant-and-adapter-merging", "key": "dora-spinquant-and-adapter-merging.v0.1.0.template.adapter-quant-merge-receipt", "version": 1, "value_sha256": "26701bbabcb71957c70288523424716382a41117c7be312f9e95b8df58f1daa6"}, "instance": {"unrotated_max_to_rms": 12.578755, "rotated_max_to_rms": 2.166179, "unrotated_excess_kurtosis": 103.842906, "rotated_excess_kurtosis": -1.034782, "unrotated_quant_mse": 0.231252, "rotated_quant_mse": 0.023035, "mse_reduction_factor": 10.039322, "dora_directional_cosine_delta": 0.142507, "dora_relative_magnitude_delta": 0.16619, "dora_directional_to_magnitude_ratio": 0.857493, "orthogonal_frobenius_cosine": 0.0, "orthogonal_sign_conflict_density": 0.0, "orthogonal_route": "ties_static_merge", "conflicting_frobenius_cosine": 0.999793, "conflicting_sign_conflict_density": 1.0, "conflicting_route": "dynamic_co_resident_switch"}, "shows": "Recomputes 10.039322x 4-bit quantization MSE reduction via Walsh-Hadamard outlier rotation, DoRA directional/magnitude update decomposition and interference-aware adapter routing.", "source": "Synthetic. Recomputed directly from example.adapter-quant-merge-bundle.", "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "derives_from", "target_id": "seedpack.dora-spinquant-and-adapter-merging/dora-spinquant-and-adapter-merging.v0.1.0.example.adapter-quant-merge-bundle", "target_category": "noun.eval_run", "note": ""}, {"relation": "verifies", "target_id": "seedpack.dora-spinquant-and-adapter-merging/dora-spinquant-and-adapter-merging.v0.1.0.template.adapter-quant-merge-receipt", "target_category": "noun.scene_recipe", "note": ""}]}} ]}