Update FastPLMs runtime files

Add-only FastPLMs files-only publication. Checkpoint weights and complete-artifact attestations are unchanged.

README.md

@@ -22,7 +22,7 @@ Install FastPLMs from the exact source revision paired with this model card:
 
 ```bash
 python -m pip install \
-  "fastplms[structure] @ git+https://github.com/Synthyra/FastPLMs.git@1b9ce023f1e06571cf3e6324be0610ffa53e0a4a"
+  "fastplms[structure] @ git+https://github.com/Synthyra/FastPLMs.git@ed38b898187ba16b64d801874decdddfe2938a58"
 ```
 
 Python 3.11-3.14, PyTorch 2.13, and Transformers 5.13 are required. Structure inference requires the `structure` extra and a CUDA device for the published execution contract. The current validated release target is the exact NVIDIA GH200 on Linux aarch64; Linux x86-64, CPU-only, Windows, and macOS structure runs are not current release evidence. The Hub quick start below requires network
@@ -106,14 +106,14 @@ continues independently of the ESM++ and ESMFold2 release gates.
 - Redistributable: `true`
 - Complete weight publication required: `false`
 
-## Provenance
+## Release record
 
-- FastPLMs weights: `Synthyra/Boltz2@3b148fc5efea109c065ec82ba8683d024de7134e`
-- Runtime revision: `1b9ce023f1e06571cf3e6324be0610ffa53e0a4a`
-- Runtime source-tree SHA-256: `21579947908f914e1b38ff1e69f9df9d22b7798899090355a53691a937b024e5`
-- Runtime bundle SHA-256: `297af2aeeb817b6e3a343bf73dbc2eb3b3e29a2ca88ccba8af1aeb2e12243ffd`
+- FastPLMs weights: `Synthyra/Boltz2`
+- Runtime revision: `ed38b898187ba16b64d801874decdddfe2938a58`
+- Runtime source-tree SHA-256: `78061b1bd37ba2dda853641fba681fdf943b859503e4fb21b1a7508909c369bf`
+- Runtime bundle SHA-256: `e6e0f8c8632238f40a5112f22397a9a211eb02d3415c1c93d43305aef51f7728`
 - Generator/schema version and complete/runtime-only attestations: recorded in `provenance.json`
-- Official checkpoint: `boltz-community/boltz-2@6fdef46d763fee7fbb83ca5501ccceff43b85607`
+- Official checkpoint: `boltz-community/boltz-2`
 - Artifact source: `fast`
 - State transform: `boltz2_inference_core_v1`
 - BF16 execution: `fp32_parameters_autocast`
@@ -122,7 +122,7 @@ continues independently of the ESM++ and ESMFold2 release gates.
 - Release tiers: `structure`, `artifact`, `benchmark`
 - Unresolved required file identities: `0`
 
-The local artifact records exact file identities, conversion provenance, source
+The local artifact records exact file identities, conversion details, source
 revisions, and legal texts in `provenance.json`. A nonzero unresolved count is a
 release blocker.
 

config.json

@@ -137,11 +137,11 @@
   "fastplms_checkpoint_repo_id": "Synthyra/Boltz2",
   "fastplms_checkpoint_revision": "3b148fc5efea109c065ec82ba8683d024de7134e",
   "fastplms_model_id": "boltz2",
-  "fastplms_release_tool_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "fastplms_release_tool_sha256": "1459b5d7d13d9b07bd97b3eee764f2ce73623e15e32d07ddf6825c2a9509afb9",
-  "fastplms_runtime_bundle_sha256": "297af2aeeb817b6e3a343bf73dbc2eb3b3e29a2ca88ccba8af1aeb2e12243ffd",
-  "fastplms_runtime_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "fastplms_source_tree_sha256": "21579947908f914e1b38ff1e69f9df9d22b7798899090355a53691a937b024e5",
+  "fastplms_release_tool_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "fastplms_release_tool_sha256": "6b15c1ec4a44faba83aa128452b06c617de4c4f580ca1cc91f9fce9747ca784e",
+  "fastplms_runtime_bundle_sha256": "e6e0f8c8632238f40a5112f22397a9a211eb02d3415c1c93d43305aef51f7728",
+  "fastplms_runtime_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "fastplms_source_tree_sha256": "78061b1bd37ba2dda853641fba681fdf943b859503e4fb21b1a7508909c369bf",
   "fastplms_weights_revision": "3b148fc5efea109c065ec82ba8683d024de7134e",
   "model_type": "boltz2_automodel",
   "num_bins": 64,

fastplms/models.toml

@@ -240,7 +240,7 @@ vram_tier = "sequence"
 checkpoint_license = "Profluent-E1-Agreement"
 hub_license = "other"
 hub_license_name = "Profluent-E1 Clickthrough License Agreement"
-hub_license_link = "https://github.com/Profluent-AI/E1/blob/bfd2620a602248499f3d2583d85a7ecddf0b6e02/LICENSE"
+hub_license_link = "https://github.com/Profluent-AI/E1/blob/main/LICENSE"
 weights_publication_allowed = true
 state_transform = "e1_to_fastplms_v1"
 conversion_provenance = "Input: the pinned Profluent-E1 checkpoint and tokenizer-free sequence contract. Transformation: apply e1_to_fastplms_v1 to the FastPLMs encoder and official task heads, storing floating tensors in BF16. Output: the pinned Synthyra Profluent-E1 checkpoint. Validation: release parity covers state identity after the declared cast, sequence and RAG preparation, aliases, and inference. Limitation: the FastPLMs scoring extension is not represented as an official E1 head."
@@ -267,7 +267,7 @@ checkpoint_license = "Apache-2.0"
 hub_license = "apache-2.0"
 weights_publication_allowed = true
 state_transform = "dplm_to_fastplms_v1"
-conversion_provenance = "Input: the pinned official DPLM1 checkpoint. Transformation: apply dplm_to_fastplms_v1, omitting the unused absolute-position table for rotary checkpoints and materializing the tied input/output embedding values as independent tensors. Output: the pinned Synthyra DPLM checkpoint. Validation: release parity compares exact state identity after the declared transform, tokenizer behavior, generation, and inference. License basis: the pinned ByteDance DPLM Apache-2.0 LICENSE and README explicitly scope the repository release to the pretrained DPLM1 and DPLM2 weights; immutable evidence is recorded in LICENSES/dplm/PROVENANCE.md. Limitation: redistribution remains subject to Apache-2.0 and the pinned provenance record; no broader rights are inferred."
+conversion_provenance = "Input: the pinned official DPLM1 checkpoint. Transformation: apply dplm_to_fastplms_v1, omitting the unused absolute-position table for rotary checkpoints and materializing the tied input/output embedding values as independent tensors. Output: the pinned Synthyra DPLM checkpoint. Validation: release parity compares exact state identity after the declared transform, tokenizer behavior, generation, and inference. License basis: the pinned ByteDance DPLM Apache-2.0 LICENSE and README explicitly scope the repository release to the pretrained DPLM1 and DPLM2 weights; immutable evidence is recorded in LICENSES/dplm/PROVENANCE.md. Limitation: redistribution remains subject to Apache-2.0 and the pinned source record; no broader rights are inferred."
 representative = "dplm_150m"
 documentation = "docs/models.md#dplm"
 test_tiers = ["check", "compliance", "feature", "artifact", "benchmark"]
@@ -291,7 +291,7 @@ checkpoint_license = "Apache-2.0"
 hub_license = "apache-2.0"
 weights_publication_allowed = true
 state_transform = "dplm2_to_fastplms_v1"
-conversion_provenance = "Input: the pinned official DPLM2 checkpoint. Transformation: apply dplm2_to_fastplms_v1, retaining the independent language-model head and trained encoder contact head while omitting the unused absolute-position table for rotary checkpoints. Output: the pinned Synthyra DPLM2 checkpoint. Validation: release parity compares exact keys and values after the declared omission, non-aliasing, tokenizer behavior, generation, and inference. License basis: the pinned ByteDance DPLM Apache-2.0 LICENSE and README explicitly scope the repository release to the pretrained DPLM1 and DPLM2 weights; immutable evidence is recorded in LICENSES/dplm/PROVENANCE.md. Limitation: no head exception is permitted by this record, and redistribution remains subject to Apache-2.0."
+conversion_provenance = "Input: the pinned official DPLM2 checkpoint. Transformation: apply dplm2_to_fastplms_v1, retaining the independent language-model head and trained encoder contact head while omitting the unused absolute-position table for rotary checkpoints. Output: the pinned Synthyra DPLM2 checkpoint. Validation: release parity compares exact keys and values after the declared omission, non-aliasing, tokenizer behavior, generation, and inference. License basis: the pinned ByteDance DPLM Apache-2.0 LICENSE and README explicitly scope the repository release to the pretrained DPLM1 and DPLM2 weights; immutable evidence is recorded in LICENSES/dplm/PROVENANCE.md. Limitation: no head exception is permitted by this source record, and redistribution remains subject to Apache-2.0."
 representative = "dplm2_150m"
 documentation = "docs/models.md#dplm2"
 test_tiers = ["check", "compliance", "feature", "artifact", "benchmark"]
@@ -320,7 +320,7 @@ conversion_provenance = "Input: the pinned official ANKH T5 checkpoint. Transfor
 representative = "ankh_base"
 documentation = "docs/models.md#ankh"
 test_tiers = ["check", "compliance", "feature", "artifact", "benchmark"]
-requires_complete_weight_publication = true
+requires_complete_weight_publication = false
 runtime_paths = ["__init__.py", "registry.py", "runtime.py", "models.toml", "models/__init__.py", "attention", "embeddings", "models/ankh", "models/ttt.py"]
 auto_map = { AutoConfig = "fastplms.models.ankh.modeling_ankh.FastAnkhConfig", AutoModel = "fastplms.models.ankh.modeling_ankh.FastAnkhModel", AutoModelForMaskedLM = "fastplms.models.ankh.modeling_ankh.FastAnkhForMaskedLMExtension", AutoModelForSeq2SeqLM = "fastplms.models.ankh.modeling_ankh.FastAnkhForConditionalGeneration", AutoModelForSequenceClassification = "fastplms.models.ankh.modeling_ankh.FastAnkhForSequenceClassification", AutoModelForTokenClassification = "fastplms.models.ankh.modeling_ankh.FastAnkhForTokenClassification" }
 
@@ -948,13 +948,14 @@ notes = "ANKH parity covers the official encoder and sequence-to-sequence heads.
 artifact_source = "official"
 canonical_state_sha256 = "cdd8d30d88e5bf41f44e1eef4470d8e46607aba5f7c7c805b06c035b89c8c16f"
 fast_repo = "Synthyra/ANKH_base"
-fast_revision = "7ec329aae8e3e174bf22a1eb9e0e9fcc12b53092"
+fast_revision = "a3afa1db21c876dff57b3540fa7241e138fb1ed6"
 fast_files = [
-  "config.json=git-sha1:7e1cbce6d08f9bb64eee4410899b1c6b4054f418",
-  "model.safetensors=sha256:b0d3473cac1bda90e39cde54f2abe86da1fc84f872c833ca3415672776dccb95",
-  "special_tokens_map.json=git-sha1:a2d8d626c31389a935e197fb94072e2414a6e7d1",
-  "tokenizer.json=git-sha1:0734d752d12d0f46ac96467fbceb1c4bfbeee0be",
-  "tokenizer_config.json=git-sha1:db0b80de72d3b16242b9eda74ed4663e39c65bcf",
+  "config.json=git-sha1:d1b81bb97129bc75dea04daef1ea2af373018e6b",
+  "model-00001-of-00001.safetensors=sha256:c943d25cacdafd2c8e3518a74450b5f90f715becf30ceb24c327f1c5a0bc8b5d",
+  "model.safetensors.index.json=git-sha1:ca251ab9277c06081b33e027f68f5bdc0808b443",
+  "special_tokens_map.json=git-sha1:55b145827029ae9672e50d4bb368540daacce791",
+  "tokenizer.json=git-sha1:212c5ef08819fa2463c6289ba4ef7db30e715c0a",
+  "tokenizer_config.json=git-sha1:a8a872ae3441e7cc85ce19210dff1e4c5d2d7bd0",
 ]
 official_repo = "ElnaggarLab/ankh-base"
 official_revision = "d99cb6b966530dfc2ae96bc69d9255c2a07308b0"
@@ -976,13 +977,15 @@ notes = "ANKH parity covers the official encoder and sequence-to-sequence heads.
 artifact_source = "official"
 canonical_state_sha256 = "e498a2e9aea76ef784cbe3e596c6b3f5e9a40e209ad837f7e3207099e4d74483"
 fast_repo = "Synthyra/ANKH_large"
-fast_revision = "3be3df34140f49dc4e65bd1f247e3ce819e7fc59"
+fast_revision = "92d2403bbe3c32acaa944fbb8dc2beb5f571f008"
 fast_files = [
-  "config.json=git-sha1:272509deedb527e5c2c95b0c269194a44148fdcc",
-  "model.safetensors=sha256:e70b8f9755ac6bfe95d18359060ae9fe38fac63b12a89a886c83349d1adbaa53",
-  "special_tokens_map.json=git-sha1:a2d8d626c31389a935e197fb94072e2414a6e7d1",
-  "tokenizer.json=git-sha1:0734d752d12d0f46ac96467fbceb1c4bfbeee0be",
-  "tokenizer_config.json=git-sha1:2bcaff2567826f5f51188b00600d2c6e7bcea56e",
+  "config.json=git-sha1:46eef0fff286107820f8ffc523127fa981435aeb",
+  "model-00001-of-00002.safetensors=sha256:79301f0b6a4fcbfd3b8bd10ca892846d79b1aad6ad06976da7380249e36f5158",
+  "model-00002-of-00002.safetensors=sha256:20062a5049fcde509030024527665a75062a95d64966558dfcaa9245b441cbec",
+  "model.safetensors.index.json=git-sha1:6b707ca3ce7255d241a52feeca68c0cbbe2a383f",
+  "special_tokens_map.json=git-sha1:55b145827029ae9672e50d4bb368540daacce791",
+  "tokenizer.json=git-sha1:212c5ef08819fa2463c6289ba4ef7db30e715c0a",
+  "tokenizer_config.json=git-sha1:d7fe02ba6f2b18d9ccfa19ac129c9fdc9ec24d09",
 ]
 official_repo = "ElnaggarLab/ankh-large"
 official_revision = "74b371dbfa3ee0a05d32ae74df0c2e0b82d6b9a6"
@@ -1004,13 +1007,16 @@ notes = "ANKH parity covers the official encoder and sequence-to-sequence heads.
 artifact_source = "official"
 canonical_state_sha256 = "597c4fe2fa8711f11a25317905f1d62fa92905e55fdd5c0a79614cd9c9d2bca3"
 fast_repo = "Synthyra/ANKH2_large"
-fast_revision = "392de5ed52bbfd73b45f545e378aaebcff096d0e"
+fast_revision = "729167c1980316ae61691338838447491926033f"
 fast_files = [
-  "config.json=git-sha1:66b6adc7215743a98a3229958bbd1c9c42b6108b",
-  "model.safetensors=sha256:be8e6242388d93b51cd9719a0e32cfc17a2e804786570c795ba332197eccb915",
-  "special_tokens_map.json=git-sha1:a2d8d626c31389a935e197fb94072e2414a6e7d1",
-  "tokenizer.json=git-sha1:0734d752d12d0f46ac96467fbceb1c4bfbeee0be",
-  "tokenizer_config.json=git-sha1:db0b80de72d3b16242b9eda74ed4663e39c65bcf",
+  "config.json=git-sha1:dd5d59e6b74bc8afa9fd4a5bda13526c235dabb8",
+  "generation_config.json=git-sha1:91f792e452403d46e170e206f9e50be5ddef9b9a",
+  "model-00001-of-00002.safetensors=sha256:7c0c297f60bcf81c732cdfeae6e99e140272807eb52afd70356fc6fdfa94e5a8",
+  "model-00002-of-00002.safetensors=sha256:f3d425d3e8741ccbdd925446559a9bf317c2c91e328f2eee44924423b56e3a3d",
+  "model.safetensors.index.json=git-sha1:6b707ca3ce7255d241a52feeca68c0cbbe2a383f",
+  "special_tokens_map.json=git-sha1:55b145827029ae9672e50d4bb368540daacce791",
+  "tokenizer.json=git-sha1:212c5ef08819fa2463c6289ba4ef7db30e715c0a",
+  "tokenizer_config.json=git-sha1:854e5db75dae8b1e9dd39c5bae80dae5508b3e25",
 ]
 official_repo = "ElnaggarLab/ankh2-ext2"
 official_revision = "aa9b9fa72288c47d9f618ce80c011e24b54e17a8"
@@ -1033,13 +1039,17 @@ notes = "ANKH parity covers the official encoder and sequence-to-sequence heads.
 artifact_source = "official"
 canonical_state_sha256 = "60acb7ef86e85dc0c51fc1edf4c8e69a0480049723b6b2c95e6e9faa720c112a"
 fast_repo = "Synthyra/ANKH3_large"
-fast_revision = "53600f175f328f986f43e55ca8ceb14935d337a4"
+fast_revision = "c6d16ca2a1b3b27a27bcf3875e816a059029d264"
 fast_files = [
-  "config.json=git-sha1:432b09625d44a2eeab679fddb7495d42b560b7f9",
-  "model.safetensors=sha256:9f50f58cf5b3a537a0a41aa918695c3a26d7985dd0b2266642d6f86324c9e7a1",
-  "special_tokens_map.json=git-sha1:1fc3a4d6d4282e5201cd7c30d5c0a6a8bfa04f82",
-  "tokenizer.json=git-sha1:3d14291df2d6db3a183c5c4fe133afb330cc44cf",
-  "tokenizer_config.json=git-sha1:2005fec00a7ae9a49e248a1ecefbbd81c56674d6",
+  "config.json=git-sha1:813ffc6c319549a2c1f3503e1309c36110202d65",
+  "generation_config.json=git-sha1:5767cc0cacebfd06884eb27ae1c796d3ca829fd2",
+  "model-00001-of-00002.safetensors=sha256:7f1f5c5dcff4b6bc6b8464fe9a7eebdd99b0789ee8da895f42a41bdb04191654",
+  "model-00002-of-00002.safetensors=sha256:c1a67cef9b76202362ff00c9d2b2dc4b5fc7acd1f22d30c8b3f2e3d2597d0f22",
+  "model.safetensors.index.json=git-sha1:a20cfc1f8517ef47d12d08604dc93c064f1e6736",
+  "special_tokens_map.json=git-sha1:d596919b7fa2a197edd441ec3ec4685ecacd2de4",
+  "spiece.model=sha256:f2b5e1bbd110b71ca9b2878e1fcd3265610076ecc97bd696e8a745c9bacc54e0",
+  "tokenizer.json=git-sha1:90f0c94b43c81496b3ca81e3ec1c092ef2dd7fca",
+  "tokenizer_config.json=git-sha1:0e699eebfa778698473b4faf1e66ef363b93fb21",
 ]
 official_repo = "ElnaggarLab/ankh3-large"
 official_revision = "2be091622e8a393f0ef21735070084123c874b6e"
@@ -1063,15 +1073,20 @@ notes = "ANKH parity covers the official encoder and sequence-to-sequence heads.
 artifact_source = "official"
 canonical_state_sha256 = "dd2188e0d2ca65232135714eef6de394239734d843ddae4928c7398685d858e7"
 fast_repo = "Synthyra/ANKH3_xl"
-fast_revision = "3cbf2c22c4f7d67bf0bfcbdcd500f41723e91d29"
+fast_revision = "d2856892e7535af2f55c2c4de043b1b272a29ed8"
 fast_files = [
-  "config.json=git-sha1:23f6d78ddcb3a031b88f876eaaf04c2fafaea46f",
-  "model-00001-of-00003.safetensors=sha256:39bd8f75cf98a67cf04055399f9fc401198f6fc2896b112aba9fd9ec9df52ab9",
-  "model-00002-of-00003.safetensors=sha256:9ff73233b39d2c200abb78e66b320c014ec61431bd6e1af36fb188a3cfa24c34",
-  "model-00003-of-00003.safetensors=sha256:c13125c02dbcd7f07bd412e9e085f2bca6624d2f1f45fedc95fb777f53161cbe",
-  "special_tokens_map.json=git-sha1:1fc3a4d6d4282e5201cd7c30d5c0a6a8bfa04f82",
-  "tokenizer.json=git-sha1:3d14291df2d6db3a183c5c4fe133afb330cc44cf",
-  "tokenizer_config.json=git-sha1:2005fec00a7ae9a49e248a1ecefbbd81c56674d6",
+  "config.json=git-sha1:791460a5c0d6c03bebbac1d7eec7e35805eaf7b7",
+  "generation_config.json=git-sha1:91f792e452403d46e170e206f9e50be5ddef9b9a",
+  "model-00001-of-00005.safetensors=sha256:f6b841f6b800e436b08e362d04f8442fd044839b1e32ba6ac01ecb30a9d2bae5",
+  "model-00002-of-00005.safetensors=sha256:ea556d511d4747ada49b9d0c24ef503774410093e53c0d003ffb9407efc2be31",
+  "model-00003-of-00005.safetensors=sha256:125884f5dcb5b44435e3b76330582f31f74547b67c9b6cadf9a4d7cf38748eb7",
+  "model-00004-of-00005.safetensors=sha256:e776ef6c5d6a50d4b3fcf0bbb2431de7ce813eddd2903290e54809c801ddb241",
+  "model-00005-of-00005.safetensors=sha256:58ee3b065cfcccd179fdbecef9827dfb91feb33e0d8385b692e6309d56ec530e",
+  "model.safetensors.index.json=git-sha1:74d149f64234c3f43eb85971f40b4a1c6d05a407",
+  "special_tokens_map.json=git-sha1:d596919b7fa2a197edd441ec3ec4685ecacd2de4",
+  "spiece.model=sha256:f2b5e1bbd110b71ca9b2878e1fcd3265610076ecc97bd696e8a745c9bacc54e0",
+  "tokenizer.json=git-sha1:90f0c94b43c81496b3ca81e3ec1c092ef2dd7fca",
+  "tokenizer_config.json=git-sha1:0e699eebfa778698473b4faf1e66ef363b93fb21",
 ]
 official_repo = "ElnaggarLab/ankh3-xl"
 official_revision = "e00113df5c95ef71df7ea3f5a73d56bd00e473a4"

modeling_fastplms.py

@@ -13,7 +13,7 @@ from zipfile import ZIP_DEFLATED, ZipFile
 
 from .fastplms_bundle import RUNTIME_DATA, RUNTIME_HASH
 
-if RUNTIME_HASH != "297af2aeeb817b6e3a343bf73dbc2eb3b3e29a2ca88ccba8af1aeb2e12243ffd":
+if RUNTIME_HASH != "e6e0f8c8632238f40a5112f22397a9a211eb02d3415c1c93d43305aef51f7728":
     raise RuntimeError("FastPLMs runtime identity differs from the bridge.")
 
 _RUNTIME_TEMPORARIES = []

runtime-attestation.json

@@ -2,11 +2,11 @@
   "files": {
     "LICENSES/FastPLMs-Apache-2.0.txt": "sha256:2d2b50c7b1414bff1189a1db1f0cfb92e3e064b50f4c2b1019827b683e1b629a",
     "LICENSES/boltz/LICENSE": "sha256:f0667fd5e66c51e1ba8ddaa0249c6d7225b30037e02c45782d8f2c2943ac2617",
-    "README.md": "sha256:49eaec9931001fa9175755c386a28403a5215f3ef7e79f9331d9442246785614",
+    "README.md": "sha256:d84a298878da60b50b6ad14b75305218be3135366a560c03e7ab0316674498ec",
     "THIRD_PARTY_NOTICES.md": "sha256:25704b3c76404696cae52e7fca13088d329f70f412687340351259e86cd62baa",
-    "config.json": "sha256:f285511527e78e8800f52f948cf6b1779ac2444c84ee60f25c53ba098ab343af",
+    "config.json": "sha256:114330cba90bd634d5c5ef779a35297932429f4b36cb468b4a36f8346ac2c328",
     "fastplms/__init__.py": "sha256:4fb3196022ca8ec699d59d09bdbc5f0184195552b773698ab9b061fe3cd7df12",
-    "fastplms/models.toml": "sha256:05a8399f084a5babb5f0916cee7e564c4030767f3ff0230c4f46e539209847d1",
+    "fastplms/models.toml": "sha256:1b0d92911222f31b435bfee80251c9abe20b85392d65f8af8d285d1ccfbbc3c5",
     "fastplms/models/__init__.py": "sha256:5e48c2cb3877aa6f42f3b5411d53b16bba2e32827bbde634f47f174c5cb36f86",
     "fastplms/models/boltz/__init__.py": "sha256:54f7ad44ddbb3fd160382a50bb5d5a8a5b86cb66978b7d72445194fc21caa673",
     "fastplms/models/boltz/_pair_attention.py": "sha256:13d16831664ac7d0bfc859e2d4b97d523f1c2ae0fe4a0b11f65b9a3197dffccd",
@@ -40,18 +40,18 @@
     "fastplms/models/boltz/vb_tri_attn_utils.py": "sha256:df831665ee4bf485c5f95b3bc2a04dcb37aa002b03c42417036fc866e87622f1",
     "fastplms/registry.py": "sha256:afca271911b651a882345b74a58366494a1d784e4a48c8683a87f5508f4ba16e",
     "fastplms/runtime.py": "sha256:110018646d6f248cedab140a030c3065e1b062b61f6aff659c231e538614bc01",
-    "fastplms_bundle.py": "sha256:f432c0047654b903f893db123760044e99b5a4caf176c62807a78c0d20c3fa33",
-    "modeling_fastplms.py": "sha256:29988e291b3f7a779d722a37d8acec6114c130fe389feae43fb6485e58a2cccf"
+    "fastplms_bundle.py": "sha256:f55c37e173eca40cfcd7e38ba7cdc2d0b15f6b846e9b478d7eff146ac15d3da7",
+    "modeling_fastplms.py": "sha256:f5defd6c4657ff805c1e835e51b2ef4becca9a21e255df767bd210ef34f808e5"
   },
   "model_id": "boltz2",
   "redistributable": true,
-  "release_tool_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "release_tool_sha256": "1459b5d7d13d9b07bd97b3eee764f2ce73623e15e32d07ddf6825c2a9509afb9",
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-  "runtime_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
+  "release_tool_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "release_tool_sha256": "6b15c1ec4a44faba83aa128452b06c617de4c4f580ca1cc91f9fce9747ca784e",
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   "scope": "runtime-only",
-  "source_tree_sha256": "21579947908f914e1b38ff1e69f9df9d22b7798899090355a53691a937b024e5",
+  "source_tree_sha256": "78061b1bd37ba2dda853641fba681fdf943b859503e4fb21b1a7508909c369bf",
   "weights": {
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