| { |
| "architecture": { |
| "class": "Spark2_5ForCausalLM", |
| "fixture": { |
| "context_limit": 256, |
| "gate_attn_act_mode": "sigmoid", |
| "head_dim": 16, |
| "headwise_attn_output_gate": true, |
| "hidden_act": "gelu", |
| "hidden_size": 64, |
| "intermediate_size": 128, |
| "layer_types": [ |
| "sliding_attention", |
| "sliding_attention", |
| "sliding_attention", |
| "full_attention" |
| ], |
| "num_attention_heads": 4, |
| "num_hidden_layers": 4, |
| "num_key_value_heads": 1, |
| "partial_rotary_dimensions": { |
| "full_attention": 4, |
| "sliding_attention": 16 |
| }, |
| "sliding_window": 32, |
| "tie_word_embeddings": true, |
| "vocab_size": 260 |
| }, |
| "installed_native_class": false, |
| "model_type": "spark2_5", |
| "scope": "Complete text causal LM; no multimodal or MTP scope" |
| }, |
| "commands": { |
| "binding_note": "Provide a sealed panel built for the actual checkpoint tokenizer, not the tiny tokenizer for original weights. Every $NAME is an explicit caller-supplied shell variable; SHA fields are actual immutable Hub commits. AUTHOR is mandatory user attribution.", |
| "publish": [ |
| "python", |
| "release.py", |
| "--publish", |
| "--out", |
| "$NEW_STAGE_DIR" |
| ], |
| "stage": [ |
| "python", |
| "release.py", |
| "--stage-only", |
| "--out", |
| "$NEW_STAGE_DIR", |
| "--qfs-root", |
| "$QFS" |
| ], |
| "strict_validate": [ |
| "python", |
| "$QFS/bin/fidelity_dataset.py", |
| "validate", |
| "$OUTPUT_DIR", |
| "--strict", |
| "--verify-tensors", |
| "--json", |
| "$STRICT_REPORT" |
| ], |
| "third_party_capture_argv": [ |
| "python", |
| "$QFS/engines/tools/hf_capture.py", |
| "--model", |
| "$MODEL_DIR", |
| "--weights-repository", |
| "$WEIGHTS_REPO", |
| "--model-revision", |
| "$WEIGHTS_SHA", |
| "--trust-remote-code", |
| "--code-repository", |
| "malaiwah/spark2-5-tiny-random-bf16", |
| "--code-revision", |
| "dd4b081b0a6b042771cbfdaedf82ef345e59f5e9", |
| "--panel", |
| "$PANEL_DIR", |
| "--panel-role", |
| "final", |
| "--panel-tokenizer-root", |
| "$MODEL_DIR", |
| "--role", |
| "root", |
| "--lane", |
| "other", |
| "--device", |
| "cpu", |
| "--dtype", |
| "bfloat16", |
| "--schedule", |
| "window-outer", |
| "--dataset-id", |
| "$DATASET_ID", |
| "--dataset-name", |
| "$DATASET_NAME", |
| "--repository", |
| "$EVIDENCE_REPO", |
| "--author", |
| "$AUTHOR", |
| "--out", |
| "$OUTPUT_DIR" |
| ], |
| "verify": [ |
| "python", |
| "$QFS/bin/fidelity_dataset.py", |
| "verify", |
| "$OUTPUT_DIR", |
| "--verify-tensors", |
| "--json", |
| "$VERIFY_REPORT" |
| ] |
| }, |
| "licensing": { |
| "fixture_weights": "Apache-2.0; independently randomly initialized", |
| "reviewed_runtime": "Apache-2.0; source notices retained", |
| "upstream_weights": "Apache-2.0", |
| "workflow_attribution": "Inherited MIT notice retained in NOTICE" |
| }, |
| "original_format_limits": { |
| "measured_original_weights": false, |
| "not_proven": [ |
| "production-size inference", |
| "million-token context", |
| "GPU/NPU kernels", |
| "FP8/MXFP4/quantized formats", |
| "training", |
| "arbitrary batched/offset position_ids", |
| "quality or accuracy", |
| "cross-hardware identity" |
| ], |
| "upstream_context": 1048576, |
| "upstream_dtype": "bfloat16", |
| "upstream_parameters": 4112079360 |
| }, |
| "prerequisites": { |
| "additional_dependencies": [], |
| "code_consent": "--trust-remote-code required; --code-revision full40-hex immutable commit; --code-repository selects audited fork without changing weights/config bytes", |
| "device": "cpu", |
| "network": "Local model weights, online immutable Hub code verification permitted; not entirely offline", |
| "python": "3.12", |
| "requirements": "requirements-cpu.txt", |
| "schedule": "window-outer", |
| "threads": 2, |
| "torch": "2.11.0+cpu", |
| "transformers": "5.16.1" |
| }, |
| "schema": "malaiwah.spark2-5-support.v1", |
| "upstream": { |
| "repository": "XHToken/Spark-X2.5-4B", |
| "revision": "5e10fcc0286756aebf7c41dc52c1e42d95c70281" |
| }, |
| "verified_runtime": { |
| "code_repository": "malaiwah/spark2-5-tiny-random-bf16", |
| "code_revision": "dd4b081b0a6b042771cbfdaedf82ef345e59f5e9", |
| "comparison": { |
| "comparator": { |
| "accumulation_dtype": "float64", |
| "bf16_reduced_precision_reduction": false, |
| "cublas_workspace_config": null, |
| "deterministic_algorithms": true, |
| "device": "cpu", |
| "estimator_backend": "torch:k6_kld_report._token_kld", |
| "head_applied_candidate_tensor_content_sha256": "90323a1776a8b913101cea3fa71a8b5f66a60d6f5a73b32038a2c01f0ed3fe2d", |
| "head_applied_reference_tensor_content_sha256": "90323a1776a8b913101cea3fa71a8b5f66a60d6f5a73b32038a2c01f0ed3fe2d", |
| "head_applied_tensor_content_sha256": "90323a1776a8b913101cea3fa71a8b5f66a60d6f5a73b32038a2c01f0ed3fe2d", |
| "logprob_dtype": "float64", |
| "position_block": 128, |
| "replay_backend": "numpy:cpu:float32", |
| "replay_env": { |
| "blas_configuration": "OpenBLAS 0.3.34.106.0 USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell MAX_THREADS=64", |
| "blas_name": "scipy-openblas", |
| "blas_threads": 2, |
| "blas_threads_source": "ctypes:scipy_openblas_get_num_threads64_", |
| "blas_version": "0.3.34.106.0", |
| "cpu_model": "Intel(R) Xeon(R) CPU X5570 @ 2.93GHz", |
| "library": "numpy", |
| "numpy_version": "2.5.3", |
| "replay_dtype": "float32" |
| }, |
| "replay_peak_device_bytes": null, |
| "short_circuited": true, |
| "source_file_hashes_verified": true, |
| "tensor_content_digests_verified": true, |
| "tf32": false, |
| "tool": { |
| "entrypoint": "bin/fidelity-dataset compare", |
| "note": "the fp64 estimator is k6_kld_report._token_kld, imported not copied, whenever torch is importable; estimator_backend records which path ran." |
| }, |
| "two_pass": true, |
| "vocab_chunk": 8192 |
| }, |
| "comparison_kind": "reproduction_confirmation", |
| "kl": { |
| "max": 0.0, |
| "mean": 0.0, |
| "median": 0.0, |
| "p95": 0.0, |
| "p99": 0.0, |
| "p99_9": 0.0 |
| }, |
| "measurement_scope": { |
| "contexts": 4, |
| "covers_full_panel": true, |
| "position_filter": "all", |
| "positions_per_context": 63, |
| "scored_positions": 252, |
| "subset_detail": null |
| }, |
| "metric": { |
| "direction": "reference_to_candidate", |
| "direction_label": "KL(reference || candidate)", |
| "higher_is_better": false, |
| "name": "mean_tokenwise_kld", |
| "units": "nats", |
| "value": 0.0 |
| }, |
| "note": "QFS retains its hash-proof result and top-1 value for reproduction confirmations; --force-compute independently runs the estimator and requires its tokenwise KL array to agree exactly. short_circuited=true therefore does not mean replay was skipped.", |
| "receipt": "comparison/comparison-receipt.json", |
| "receipt_sha256": "19048f92026f9d3643c1bc855b06b9952d206a86d31e3635c0246d747937d715", |
| "self_compare": { |
| "asserted_exact_zero": true, |
| "capture_content_digest_equal": true, |
| "expected_tokenwise_bytes": 2144, |
| "expected_tokenwise_sha256": "896ad5b6b732dce1588636c3af3a8a93af8eb1250df72809f6e26fc29914f65d", |
| "force_compute_agreed": true, |
| "head_digest_equal": true, |
| "weights_identity_equal": true |
| }, |
| "tokenwise": { |
| "bytes": 2144, |
| "path": "tokenwise-kld.npy", |
| "sha256": "896ad5b6b732dce1588636c3af3a8a93af8eb1250df72809f6e26fc29914f65d" |
| }, |
| "top1_agreement": 1.0 |
| }, |
| "cpu_report_sha256": "9f2119f50b3d6e7b7d8dd8af8772fd373d1ce3c5b598fc33d83c21d006c2bce2", |
| "cpu_threads": 2, |
| "device": "cpu", |
| "evidence_repository": "malaiwah/spark2-5-tiny-cpu-repro-v1", |
| "model_class": "Spark2_5ForCausalLM", |
| "native_report_sha256": "73f21cdbac7ca5e301de182342de59d2242f08f94376d3f7c18d8e9f7b202d41", |
| "scope": "Complete text-only Spark2_5ForCausalLM; 3 sliding/1 full attention, partial RoPE dimensions 16/4, headwise sigmoid gates, GELU gated MLP, tied vocabulary head. Random BF16 only; no learned capabilities, million-token context, accelerator, training, quantized-format, or production-size evidence.", |
| "status": "passed", |
| "torch": "2.11.0+cpu", |
| "transformers": "5.16.1", |
| "weights_revision": "dd4b081b0a6b042771cbfdaedf82ef345e59f5e9" |
| } |
| } |
|
|
