Update FastPLMs runtime files

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

README.md

@@ -2,7 +2,7 @@
 library_name: transformers
 license: "other"
 license_name: "profluent-e1-clickthrough-license-agreement"
-license_link: "https://github.com/Profluent-AI/E1/blob/bfd2620a602248499f3d2583d85a7ecddf0b6e02/LICENSE"
+license_link: "https://github.com/Profluent-AI/E1/blob/main/LICENSE"
 tags:
   - protein-language-model
   - fastplms
@@ -25,7 +25,7 @@ Install FastPLMs from the exact source revision paired with this model card:
 
 ```bash
 python -m pip install \
-  "fastplms @ git+https://github.com/Synthyra/FastPLMs.git@1b9ce023f1e06571cf3e6324be0610ffa53e0a4a"
+  "fastplms @ git+https://github.com/Synthyra/FastPLMs.git@ed38b898187ba16b64d801874decdddfe2938a58"
 ```
 
 Python 3.11-3.14, PyTorch 2.13, and Transformers 5.13 are required. The declared CPU gate covers tiny offline contracts; published checkpoint throughput and parity require the documented device tier. The Hub quick start below requires network
@@ -132,14 +132,14 @@ the attribution required by the upstream agreement.
 - Redistributable: `true`
 - Complete weight publication required: `false`
 
-## Provenance
+## Release record
 
-- FastPLMs weights: `Synthyra/Profluent-E1-300M@5ef52c0ad2ae2578f40622696b763523810e8e26`
-- Runtime revision: `1b9ce023f1e06571cf3e6324be0610ffa53e0a4a`
-- Runtime source-tree SHA-256: `cec0500dd5f6b238474600a6e80b8d3ccd4544ef7daec90441f14273f1b658d2`
-- Runtime bundle SHA-256: `c99634d724e168524f43f56ad1d22af47c75db0cbe657a2a55a237104fe7b833`
+- FastPLMs weights: `Synthyra/Profluent-E1-300M`
+- Runtime revision: `ed38b898187ba16b64d801874decdddfe2938a58`
+- Runtime source-tree SHA-256: `c583bf72e969d20248d4f2a01c81579fffa3002e2e19c4e90acebbbacf1faeab`
+- Runtime bundle SHA-256: `5289065bf7679630038a2e794052e4364a152c4f103c36c80ab9b8544919e924`
 - Generator/schema version and complete/runtime-only attestations: recorded in `provenance.json`
-- Official checkpoint: `Profluent-Bio/E1-300m@5a2871c587eadbcc9237bc686ea45e5b4d28dfb3`
+- Official checkpoint: `Profluent-Bio/E1-300m`
 - Artifact source: `fast`
 - State transform: `e1_to_fastplms_v1`
 - BF16 execution: `static_parameters`
@@ -148,7 +148,7 @@ the attribution required by the upstream agreement.
 - Release tiers: `check`, `compliance`, `feature`, `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.
 
@@ -163,7 +163,7 @@ therapeutic validity.
 
 ## License
 
-Checkpoint terms: [Profluent-E1 Clickthrough License Agreement](https://github.com/Profluent-AI/E1/blob/bfd2620a602248499f3d2583d85a7ecddf0b6e02/LICENSE). The Hub model-card identifier is
+Checkpoint terms: [Profluent-E1 Clickthrough License Agreement](https://github.com/Profluent-AI/E1/blob/main/LICENSE). The Hub model-card identifier is
 `other`. Applicable source licenses, notices, attribution,
 and conversion records are distributed with the local artifact. Review them
 before use.

config.json

@@ -18,11 +18,11 @@
   "fastplms_checkpoint_repo_id": "Synthyra/Profluent-E1-300M",
   "fastplms_checkpoint_revision": "5ef52c0ad2ae2578f40622696b763523810e8e26",
   "fastplms_model_id": "e1_300m",
-  "fastplms_release_tool_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "fastplms_release_tool_sha256": "1459b5d7d13d9b07bd97b3eee764f2ce73623e15e32d07ddf6825c2a9509afb9",
-  "fastplms_runtime_bundle_sha256": "c99634d724e168524f43f56ad1d22af47c75db0cbe657a2a55a237104fe7b833",
-  "fastplms_runtime_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "fastplms_source_tree_sha256": "cec0500dd5f6b238474600a6e80b8d3ccd4544ef7daec90441f14273f1b658d2",
+  "fastplms_release_tool_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "fastplms_release_tool_sha256": "6b15c1ec4a44faba83aa128452b06c617de4c4f580ca1cc91f9fce9747ca784e",
+  "fastplms_runtime_bundle_sha256": "5289065bf7679630038a2e794052e4364a152c4f103c36c80ab9b8544919e924",
+  "fastplms_runtime_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "fastplms_source_tree_sha256": "c583bf72e969d20248d4f2a01c81579fffa3002e2e19c4e90acebbbacf1faeab",
   "fastplms_weights_revision": "5ef52c0ad2ae2578f40622696b763523810e8e26",
   "gated_mlp": true,
   "global_attention_every_n_layers": 3,

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 != "c99634d724e168524f43f56ad1d22af47c75db0cbe657a2a55a237104fe7b833":
+if RUNTIME_HASH != "5289065bf7679630038a2e794052e4364a152c4f103c36c80ab9b8544919e924":
     raise RuntimeError("FastPLMs runtime identity differs from the bridge.")
 
 _RUNTIME_TEMPORARIES = []

runtime-attestation.json

@@ -7,9 +7,9 @@
     "LICENSES/e1/LICENSE": "sha256:8ef1dd556091544db3044164a8015424a3dcb3450fb3765a81b88463551bbe81",
     "LICENSES/e1/MODIFICATIONS.md": "sha256:2506f47c0f5475af8e8ff2cff13eb8b79e8e25a08a054cdd617bf336536750ca",
     "LICENSES/e1/NOTICE": "sha256:6de9db0320b4ee82f665c0951d8fd4cd53701a659c9dbce9bc3e3ea6afc4c6b3",
-    "README.md": "sha256:9f2d8fecae3f233b7546666d2487fca985627e25e8d9bb5277267d5de5a9ec10",
+    "README.md": "sha256:be7d0266e26f93a225ebb2d734fc9bdcb94be63898529daa83c66fd91307c40b",
     "THIRD_PARTY_NOTICES.md": "sha256:25704b3c76404696cae52e7fca13088d329f70f412687340351259e86cd62baa",
-    "config.json": "sha256:5a6ea49bbfefd19984b92448121277dfbecae387bb2fb360ba9cec29a508ed7a",
+    "config.json": "sha256:2bb90b0fd03d13709dfd91c9745ae1c482cf91688fb858334284621754ad5234",
     "fastplms/__init__.py": "sha256:4fb3196022ca8ec699d59d09bdbc5f0184195552b773698ab9b061fe3cd7df12",
     "fastplms/attention/__init__.py": "sha256:f60b9fecfb4bcb37a4e7c26dc2f752b9035f9cbad627b4a84213f3a92ec88f7d",
     "fastplms/attention/_core.py": "sha256:8f7ec5b65bd8b6c6fa4951d50d1c0e499abf03ae00914794b51fc410201e3e33",
@@ -20,7 +20,7 @@
     "fastplms/embeddings/runner.py": "sha256:23ee4727a918d6d331f7a0f89b823d149f1a791f0c5586e3496d7b6eb2ce97e0",
     "fastplms/embeddings/storage.py": "sha256:3fbe2bab75092e5a4cadf4d27e4752181d597469a65a55db085ceef808ed418e",
     "fastplms/embeddings/types.py": "sha256:119718a20989d1ae5a60fabc0f5e98bdc172c5163b04db3d4554ac3956b30e52",
-    "fastplms/models.toml": "sha256:05a8399f084a5babb5f0916cee7e564c4030767f3ff0230c4f46e539209847d1",
+    "fastplms/models.toml": "sha256:1b0d92911222f31b435bfee80251c9abe20b85392d65f8af8d285d1ccfbbc3c5",
     "fastplms/models/__init__.py": "sha256:5e48c2cb3877aa6f42f3b5411d53b16bba2e32827bbde634f47f174c5cb36f86",
     "fastplms/models/e1/__init__.py": "sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
     "fastplms/models/e1/attention.py": "sha256:8449b2bafba9573dfcfe4ad907e1fce24c55a4f279f1f72cd52227e48dcecf67",
@@ -32,18 +32,18 @@
     "fastplms/models/ttt.py": "sha256:a0df4e98b02120d423e3c7ca9b866a8d0e3748b9076042a0102a838a11aed046",
     "fastplms/registry.py": "sha256:afca271911b651a882345b74a58366494a1d784e4a48c8683a87f5508f4ba16e",
     "fastplms/runtime.py": "sha256:110018646d6f248cedab140a030c3065e1b062b61f6aff659c231e538614bc01",
-    "fastplms_bundle.py": "sha256:bbe671e5653b3d3028100278166f0e8a91f72eaeaf3c2ed3b7902cd833020840",
-    "modeling_fastplms.py": "sha256:8fe92d7a9b0b1916575448c4fbba67005fcad75e456f68bba38aff2054d43c1f"
+    "fastplms_bundle.py": "sha256:0b53f8920820cd377c6a342390542caa7e886e27005d94b20fd7d8d9c2811cc4",
+    "modeling_fastplms.py": "sha256:11932687d6d095013137669f2d4faeda96420b4ad5db16a3f90eb93cebd26c9d"
   },
   "model_id": "e1_300m",
   "redistributable": true,
-  "release_tool_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
-  "release_tool_sha256": "1459b5d7d13d9b07bd97b3eee764f2ce73623e15e32d07ddf6825c2a9509afb9",
-  "runtime_bundle_sha256": "c99634d724e168524f43f56ad1d22af47c75db0cbe657a2a55a237104fe7b833",
-  "runtime_revision": "1b9ce023f1e06571cf3e6324be0610ffa53e0a4a",
+  "release_tool_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
+  "release_tool_sha256": "6b15c1ec4a44faba83aa128452b06c617de4c4f580ca1cc91f9fce9747ca784e",
+  "runtime_bundle_sha256": "5289065bf7679630038a2e794052e4364a152c4f103c36c80ab9b8544919e924",
+  "runtime_revision": "ed38b898187ba16b64d801874decdddfe2938a58",
   "schema_version": 2,
   "scope": "runtime-only",
-  "source_tree_sha256": "cec0500dd5f6b238474600a6e80b8d3ccd4544ef7daec90441f14273f1b658d2",
+  "source_tree_sha256": "c583bf72e969d20248d4f2a01c81579fffa3002e2e19c4e90acebbbacf1faeab",
   "weights": {
     "repo_id": "Synthyra/Profluent-E1-300M",
     "revision": "5ef52c0ad2ae2578f40622696b763523810e8e26"