Publish packed-Q1 native LoRA reproducibility release

.gitattributes

@@ -33,3 +33,28 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+adapters/multi_target_adapter_initial.gguf filter=lfs diff=lfs merge=lfs -text
+adapters/quick_resume_adapter.gguf filter=lfs diff=lfs merge=lfs -text
+adapters/step10_adapter_final.gguf filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-base.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-base.so.0 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-base.so.0.13.1 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cpu.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cpu.so.0 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cpu.so.0.13.1 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cuda.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cuda.so.0 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libggml-cuda.so.0.13.1 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama-common.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama-common.so.0 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama-common.so.0.0.1 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama-completion-impl.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama.so filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama.so.0 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/libllama.so.0.0.1 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/test-q1-lora-dataset filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/test-q1-lora-multitarget filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/test-q1-lora-step10 filter=lfs diff=lfs merge=lfs -text
+binaries/linux-colab-cuda/test-q1-lora-step11 filter=lfs diff=lfs merge=lfs -text
+checkpoints/checkpoint_latest.p10ck filter=lfs diff=lfs merge=lfs -text
+checkpoints/quick_resume_checkpoint.p10ck filter=lfs diff=lfs merge=lfs -text

CITATION.cff

@@ -0,0 +1,9 @@
+cff-version: 1.2.0
+message: "If you use this engineering release, cite the repository."
+title: "Bonsai-27B packed-Q1 native LoRA training release"
+type: software
+authors:
+  - name: "ApacheOne"
+version: "1.0.0"
+date-released: "2026-07-23"
+repository-code: "https://huggingface.co/ApacheOne/prereleasetrainingpackage"

LICENSE-NOTICE.md

@@ -0,0 +1,8 @@
+# License and redistribution notice
+
+This package contains project-authored artifacts and patches intended for:
+
+- Source: `Mintplex-Labs/prism-ml-llama.cpp`
+- Base GGUF repository: `prism-ml/Bonsai-27B-gguf`
+
+The base GGUF is not included. The model card uses `license: other` because this package contains mixed artifacts and does not replace upstream terms. Review upstream licenses and usage terms before redistribution or commercial use.

MODEL_REFERENCE.json

@@ -0,0 +1,23 @@
+{
+  "base_model_not_included": true,
+  "repository": "prism-ml/Bonsai-27B-gguf",
+  "revision": "0469926cd8878dbddb5b883740ab3df060058696",
+  "files": [
+    {
+      "filename": "Bonsai-27B-Q1_0.gguf",
+      "sha256": "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0",
+      "bytes": 3803452480,
+      "required_for_training": true
+    },
+    {
+      "filename": "Bonsai-27B-mmproj-Q8_0.gguf",
+      "sha256": "eb561d41a7bbeb0fcf04883c8af11078ef6cae0a66862a0b68443cfca495269d",
+      "required_for_training": false
+    },
+    {
+      "filename": "Bonsai-27B-dspark-Q4_1.gguf",
+      "sha256": "25e73f9f7ab5d1f7f1336711496dbc12da674e639ec88d579dc8683045befb1b",
+      "required_for_training": false
+    }
+  ]
+}

README.md

@@ -0,0 +1,119 @@
+---
+language:
+- en
+license: other
+library_name: llama.cpp
+pipeline_tag: text-generation
+base_model: prism-ml/Bonsai-27B-gguf
+tags:
+- llama.cpp
+- lora
+- q1
+- q1_0
+- packed-quantization
+- native-training
+- checkpoint-resume
+- reproducibility
+- cuda
+---
+
+# Bonsai-27B packed-Q1 native LoRA training release
+
+This is a reproducible engineering release for native LoRA training directly against the packed Q1_0 Bonsai-27B base model in a pinned Prism/Mintplex llama.cpp tree.
+
+The repository contains adapters, deterministic checkpoints, dataset shards, source changes, clean-build evidence, verification scripts, reports and an optional Linux/CUDA build. The 3.8 GB base GGUF is not redistributed.
+
+## Release status
+
+| Stage | Result |
+|---|---|
+| Step 8: native multi-target packed-Q1 LoRA | PASS |
+| Step 9: deterministic dataset pipeline | PASS |
+| Step 10: native training and exact checkpointing | PASS |
+| Step 11: correctness and quality acceptance | PASS |
+| Step 12: performance and stability acceptance | PASS |
+| Step 13: clean reproducibility build | PASS |
+
+## What is proven
+
+- Packed Q1_0 base weights remain immutable.
+- Six LoRA tensors are optimized without a persistent expanded base model.
+- Checkpoint save/reload is exact.
+- Interrupted accumulation resumes deterministically.
+- Independent resume branches produced byte-identical checkpoints, adapters and state fingerprints.
+- Load/unload, quick soak, RAM and VRAM checks passed.
+- The patch applies to commit `7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f` and selected targets build in a clean worktree.
+
+## LoRA targets
+
+| Base tensor | Family | Rank | Alpha | Base shape |
+|---|---:|---:|---:|---:|
+| `blk.0.ssm_alpha.weight` | SSM | 4 | 8 | `48 × 5120` |
+| `blk.11.attn_k.weight` | attention | 4 | 8 | `1024 × 5120` |
+| `blk.0.ffn_down.weight` | FFN | 4 | 8 | `5120 × 17408` |
+
+Total trainable LoRA values: **135,360**.
+
+## Quality result
+
+This was a tiny proof run, not a quality fine-tune.
+
+- Train mean-token NLL, full minus zero adapter: `0.00021834747786`
+- Validation mean-token NLL, full minus zero adapter: `9.73401665583e-06`
+- Validation improved: **no**
+
+The adapter is numerically connected and stable, but the proof run is too small to establish a quality gain.
+
+## Performance snapshot
+
+| Measurement | Result |
+|---|---:|
+| Base end-to-end generation | `3.692` tokens/s |
+| Trained-adapter end-to-end generation | `3.379` tokens/s |
+| Base fresh-process load | `0.817` GiB/s |
+| Trained fresh-process load | `0.748` GiB/s |
+| Peak process RSS | `3980.6` MiB |
+| Peak observed GPU memory | `9972.0` MiB |
+| Load/unload cycles | `3` |
+| Quick soak | `192` requested tokens |
+| Training microsteps/minute | `0.843330` |
+| Training updates/minute | `0.562220` |
+
+## Primary artifacts
+
+| Artifact | Size | SHA256 |
+|---|---:|---|
+| `step10_adapter_final.gguf` | 529.50 KiB | `6ba256d4e1836a177a8c7519d05a95639d47f4ee181fb6fcd438eee40805549f` |
+| `multi_target_adapter_initial.gguf` | 529.50 KiB | `84d835c964c4a0ae32fed9be2106124ff9319b74317ba9cdb0ea21069150edb5` |
+| `checkpoint_latest.p10ck` | 2.07 MiB | `1ba5545af5c33aacd7c1d2b395afe0e53e4fac5f1fd07ea56353c5a0c9fa64b9` |
+| `quick_resume_adapter.gguf` | 529.50 KiB | `c6c163276a50c144315543a49ecdccd725608b5e3a653733a4a589369e0233d2` |
+| `quick_resume_checkpoint.p10ck` | 2.07 MiB | `7c8e9b000eac8fa3ca60883b76f6a6c2ffe6126d97b3c861dfef70dcc4e3080c` |
+
+## Base model identity
+
+- Repository: `prism-ml/Bonsai-27B-gguf`
+- Revision: `0469926cd8878dbddb5b883740ab3df060058696`
+- Required file: `Bonsai-27B-Q1_0.gguf`
+- Bytes: `3803452480`
+- SHA256: `17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0`
+
+```bash
+python -m pip install -r reproduce/requirements.txt
+python reproduce/download_models.py
+python reproduce/restore_and_build.py
+python reproduce/verify_release.py
+```
+
+## Load the adapter
+
+```bash
+./binaries/linux-colab-cuda/llama-completion   -m /path/to/Bonsai-27B-Q1_0.gguf   --lora adapters/step10_adapter_final.gguf   -p "User: Explain deterministic checkpoint resume.\nAssistant:"   -n 64 --temp 0 -ngl 999 -no-cnv
+```
+
+## Limitations
+
+- This is a proof-of-training release, not a broadly trained production LoRA.
+- Validation NLL was slightly worse by `9.73401665583e-06`.
+- The Linux build is environment-specific.
+- The quick soak is not an hours-long production endurance test.
+- Upstream source and base-model licenses and terms apply.

RELEASE_MANIFEST.json

@@ -0,0 +1,998 @@
+{
+  "release_name": "Bonsai-27B-Q1-Native-LoRA-Release",
+  "created_utc": "2026-07-23T19:50:56.280759+00:00",
+  "publisher_repo": "ApacheOne/prereleasetrainingpackage",
+  "source": {
+    "repository": "Mintplex-Labs/prism-ml-llama.cpp",
+    "branch": "prism",
+    "commit": "7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f",
+    "patch_sha256": "3d3a039aed73bac65974d8321c6dfe73a270a2e4bebeecb3d994692fd9d2dd67"
+  },
+  "base_model": {
+    "included": false,
+    "repository": "prism-ml/Bonsai-27B-gguf",
+    "revision": "0469926cd8878dbddb5b883740ab3df060058696",
+    "files": [
+      {
+        "filename": "Bonsai-27B-Q1_0.gguf",
+        "sha256": "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0",
+        "bytes": 3803452480,
+        "required_for_training": true
+      },
+      {
+        "filename": "Bonsai-27B-mmproj-Q8_0.gguf",
+        "sha256": "eb561d41a7bbeb0fcf04883c8af11078ef6cae0a66862a0b68443cfca495269d",
+        "required_for_training": false
+      },
+      {
+        "filename": "Bonsai-27B-dspark-Q4_1.gguf",
+        "sha256": "25e73f9f7ab5d1f7f1336711496dbc12da674e639ec88d579dc8683045befb1b",
+        "required_for_training": false
+      }
+    ]
+  },
+  "accepted": {
+    "initial_adapter_sha256": "84d835c964c4a0ae32fed9be2106124ff9319b74317ba9cdb0ea21069150edb5",
+    "final_adapter_sha256": "6ba256d4e1836a177a8c7519d05a95639d47f4ee181fb6fcd438eee40805549f",
+    "final_checkpoint_sha256": "1ba5545af5c33aacd7c1d2b395afe0e53e4fac5f1fd07ea56353c5a0c9fa64b9",
+    "dataset_fingerprint": "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d",
+    "step11_version": "V2_3_EXACT_TOKEN_EFFECT_FINALIZED",
+    "step12_version": "QUICK_PERFORMANCE_STABILITY_ACCEPTANCE_V1_3_FINAL"
+  },
+  "clean_repro": {
+    "requested": true,
+    "passed": true,
+    "version": "STEP13_V1_2_ACCEPTED_10_STEP_CHECKPOINT_CONFIGURATION",
+    "commit": "7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f",
+    "worktree": "/content/prism_native_q1_lora/step13_release/clean_repro_worktree",
+    "build": "/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13",
+    "configure_seconds": 5.967668771743774,
+    "build_seconds": 1876.6581649780273,
+    "checkpoint_verify": {
+      "passed": true,
+      "return_code": 0,
+      "seconds": 0.10711312294006348,
+      "markers": {
+        "PRISM_STEP10_TRAINING_ENV_READY": "1",
+        "CHECKPOINT_CHECKSUM_MISMATCH": "0",
+        "CHECKPOINT_IDENTITY_MATCH": "1",
+        "SUBTEST_STATUS": "PASS",
+        "FINAL_STATUS": "PASS"
+      },
+      "environment": {
+        "PRISM_Q1_LORA_TRAINING": "1",
+        "PRISM_Q1_LORA_UNFUSED_GDN": "1",
+        "PRISM_Q1_LORA_TRAINING_GENERIC_SSM_CONV": "1",
+        "PRISM_Q1_LORA_TRAINING_NO_KV_CACHE": "1",
+        "LLAMA_GRAPH_REUSE_DISABLE": "1",
+        "PRISM_STEP10_FORCE_OPT_BACKWARD": "0",
+        "PRISM_STEP10_EXTERNAL_GRAD_ACCUM": "1",
+        "OMP_NUM_THREADS": "2",
+        "OPENBLAS_NUM_THREADS": "1",
+        "MKL_NUM_THREADS": "1"
+      },
+      "configuration": {
+        "seed": 1234,
+        "train_context": 64,
+        "target_global_steps": 10,
+        "accumulation_steps": 2,
+        "base_lr": 0.0002,
+        "min_lr": 2e-05,
+        "warmup_steps": 1,
+        "max_grad_norm": 0.001
+      },
+      "log": "/content/prism_native_q1_lora/step13_release/Bonsai-27B-Q1-Native-LoRA-Release/clean_repro_logs/06_checkpoint_verify_v1_2_accepted_config.log"
+    },
+    "base_smoke": {
+      "passed": true,
+      "seconds": 4.322730541229248,
+      "log": "/content/prism_native_q1_lora/step13_release/Bonsai-27B-Q1-Native-LoRA-Release/clean_repro_logs/07_base_smoke_v1_2.log"
+    },
+    "adapter_smoke": {
+      "passed": true,
+      "seconds": 4.563637971878052,
+      "log": "/content/prism_native_q1_lora/step13_release/Bonsai-27B-Q1-Native-LoRA-Release/clean_repro_logs/08_adapter_smoke_v1_2.log"
+    },
+    "binaries": [
+      "test-q1-lora-multitarget",
+      "test-q1-lora-dataset",
+      "test-q1-lora-step10",
+      "test-q1-lora-step11",
+      "test-q1-lora-roundtrip",
+      "llama-completion",
+      "llama-tokenize"
+    ]
+  },
+  "files_before_manifest": [
+    {
+      "path": "CITATION.cff",
+      "bytes": 316,
+      "sha256": "2c1b265c1c1da934495134e4c2b4ba208fef5a6454860140f3dc04a65600b611"
+    },
+    {
+      "path": "LICENSE-NOTICE.md",
+      "bytes": 443,
+      "sha256": "c6fc1f6091a63e6c7f19a4fbece562cfbe9955728f6ff5adc8f8d1c317647f97"
+    },
+    {
+      "path": "MODEL_REFERENCE.json",
+      "bytes": 725,
+      "sha256": "ecfef23a71a423b0f6621c11b71a7255d3f8a92fd04b293498a7b024e9a34399"
+    },
+    {
+      "path": "README.md",
+      "bytes": 4404,
+      "sha256": "543ce8cee6da31889c4803c162fc2c214032eb7bec6b26a1e077ce5edff81190"
+    },
+    {
+      "path": "RELEASE_NOTES.md",
+      "bytes": 271,
+      "sha256": "8ab18be92be8d9bcba75fae854a05ff0b3caffbb797923658ab2900cd2a47e5b"
+    },
+    {
+      "path": "adapters/multi_target_adapter_initial.gguf",
+      "bytes": 542208,
+      "sha256": "84d835c964c4a0ae32fed9be2106124ff9319b74317ba9cdb0ea21069150edb5"
+    },
+    {
+      "path": "adapters/quick_resume_adapter.gguf",
+      "bytes": 542208,
+      "sha256": "c6c163276a50c144315543a49ecdccd725608b5e3a653733a4a589369e0233d2"
+    },
+    {
+      "path": "adapters/step10_adapter_final.gguf",
+      "bytes": 542208,
+      "sha256": "6ba256d4e1836a177a8c7519d05a95639d47f4ee181fb6fcd438eee40805549f"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/BINARY_MANIFEST.json",
+      "bytes": 4407,
+      "sha256": "5b0ad0bf3074f09a21d9111e7ba51ab3a868a4a03fa303bbf9c61502dae56d43"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-base.so",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-base.so.0",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-base.so.0.13.1",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cpu.so",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cpu.so.0",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cpu.so.0.13.1",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cuda.so",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cuda.so.0",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml-cuda.so.0.13.1",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml.so",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml.so.0",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libggml.so.0.13.1",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama-common.so",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama-common.so.0",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama-common.so.0.0.1",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama-completion-impl.so",
+      "bytes": 118672,
+      "sha256": "a2805c9a53ec1f3929b47104bf7c6df51c1504913241262fd247cd2b0fc88f72"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama.so",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama.so.0",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/libllama.so.0.0.1",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/llama-completion",
+      "bytes": 15968,
+      "sha256": "b068163fe18c709ecd06cafe47d21e478854ad2a270343ab5e9f2dcece66ea3a"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/llama-tokenize",
+      "bytes": 31832,
+      "sha256": "ae0355324a0e7090f76b08b9074f2e074904569afd153ba00056c4f6ea70076b"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/test-q1-lora-dataset",
+      "bytes": 154792,
+      "sha256": "a7599fcd50d0868683c4a07d70fb19883276bc79bb78edc69844266fb4ffa0e0"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/test-q1-lora-multitarget",
+      "bytes": 317280,
+      "sha256": "6ae570c8e413f47eabc88a2f7e7e9c4cd5e73b489f4bedc3ced0ebbaef088132"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/test-q1-lora-roundtrip",
+      "bytes": 33680,
+      "sha256": "4f741f52f9b3b035ada892f0b88fe811d01783bb04189b38eebb43790290b935"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/test-q1-lora-step10",
+      "bytes": 167376,
+      "sha256": "07d0cf5996bbcd58cccc903d888fe6ed3ffe978ee0fd2c999247a8cad8b7dfe8"
+    },
+    {
+      "path": "binaries/linux-colab-cuda/test-q1-lora-step11",
+      "bytes": 135344,
+      "sha256": "d10511d5b02defde5dcd7181c0984279528242334fe379866a419a99a5d7cc45"
+    },
+    {
+      "path": "checkpoints/checkpoint_latest.p10ck",
+      "bytes": 2167005,
+      "sha256": "1ba5545af5c33aacd7c1d2b395afe0e53e4fac5f1fd07ea56353c5a0c9fa64b9"
+    },
+    {
+      "path": "checkpoints/quick_resume_checkpoint.p10ck",
+      "bytes": 2166644,
+      "sha256": "7c8e9b000eac8fa3ca60883b76f6a6c2ffe6126d97b3c861dfef70dcc4e3080c"
+    },
+    {
+      "path": "clean_repro_logs/01_worktree_add.log",
+      "bytes": 350,
+      "sha256": "cefb485353602c1ddf4e7a3bf6d322b60bb8acc5beadd2cdceec710ed4f08d4d"
+    },
+    {
+      "path": "clean_repro_logs/02_patch_apply.log",
+      "bytes": 249,
+      "sha256": "ce007e49f3ad18634717ed53ab2628d6feb610aa32290dae74097c4b68d68200"
+    },
+    {
+      "path": "clean_repro_logs/03_clean_status.txt",
+      "bytes": 830,
+      "sha256": "67294a4ea13b51d63fa6cdb43b812ebafe3ed9559a6cc03ee53506c98599ddd4"
+    },
+    {
+      "path": "clean_repro_logs/04_cmake_configure.log",
+      "bytes": 2621,
+      "sha256": "d82ab1c4738518d35324f8cfc622a95f7c4362d9ef8ba28e45987201e0b208bb"
+    },
+    {
+      "path": "clean_repro_logs/05_cmake_build.log",
+      "bytes": 38433,
+      "sha256": "212f16209b1b31186080470885617a654602cc5619d7cb1c38ae81d05bbac779"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify.log",
+      "bytes": 977,
+      "sha256": "16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify_original_failure.log",
+      "bytes": 977,
+      "sha256": "16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify_preserved.log",
+      "bytes": 977,
+      "sha256": "16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify_v1_1_repaired.log",
+      "bytes": 977,
+      "sha256": "16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify_v1_1_repaired_preserved.log",
+      "bytes": 977,
+      "sha256": "16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73"
+    },
+    {
+      "path": "clean_repro_logs/06_checkpoint_verify_v1_2_accepted_config.log",
+      "bytes": 923,
+      "sha256": "6391ecf5327bcad8de304179822de53a446b5a85adbcb3821e9cba5944aa34b2"
+    },
+    {
+      "path": "clean_repro_logs/07_base_smoke_v1_2.log",
+      "bytes": 2937,
+      "sha256": "330919deadb5df28531c39401e3baa3fcb21b72fe4092681ee44c9f781d84432"
+    },
+    {
+      "path": "clean_repro_logs/08_adapter_smoke_v1_2.log",
+      "bytes": 3052,
+      "sha256": "3d1fa77fda7d31314e9fd346654556a83a89f247eadb77176a1a32c035383562"
+    },
+    {
+      "path": "clean_repro_logs/CLEAN_REPRO_RESULT.json",
+      "bytes": 2214,
+      "sha256": "2c07de56cb022befff826d37bd7cdb5ba0b6b3c8421ef5ee484040dab0b4e2b4"
+    },
+    {
+      "path": "dataset/chat_template.txt",
+      "bytes": 7764,
+      "sha256": "e84f32a23fdda27689f868aa4a1a5621f41133e51a48d7f3efcbea2839574259"
+    },
+    {
+      "path": "dataset/dataset_manifest.json",
+      "bytes": 1990,
+      "sha256": "5bad1083d598bcb9e571ed0e235afdf4b0fe0475ccb7a566d2a5172d99176032"
+    },
+    {
+      "path": "dataset/fingerprint_material.txt",
+      "bytes": 886,
+      "sha256": "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d"
+    },
+    {
+      "path": "dataset/split_assignments.tsv",
+      "bytes": 741,
+      "sha256": "c9c05acba5201f81d600ca02e1fce8d3967106c5140b0cf7ee3e2dd584251ddb"
+    },
+    {
+      "path": "dataset/train-00000.p9ds",
+      "bytes": 1980,
+      "sha256": "564403c59a25b9a3d367560ef0a61eedb3435e883af2bdd8a30ffdcb7ecb21ad"
+    },
+    {
+      "path": "dataset/train-00001.p9ds",
+      "bytes": 1980,
+      "sha256": "70a8de0f58843c79f2195a7bc483f871b5fb186b286a69574e354495eafb4063"
+    },
+    {
+      "path": "dataset/train-00002.p9ds",
+      "bytes": 1980,
+      "sha256": "e251474f66216c8c91521a740be164dbee51944f652ebfc1e4fea449750f73f5"
+    },
+    {
+      "path": "dataset/validation-00000.p9ds",
+      "bytes": 1980,
+      "sha256": "89f7cad06b7691b9c79ace27322fcfea765b9e5f3a7d5d8960242041725b275f"
+    },
+    {
+      "path": "reports/BUILD_ENVIRONMENT.txt",
+      "bytes": 2633,
+      "sha256": "2ad2b65815c5bce31bce55819e1a7f18be7f4fe9b0211bfdf3293e60fbcc5dc3"
+    },
+    {
+      "path": "reports/EVIDENCE_INDEX.json",
+      "bytes": 35404,
+      "sha256": "9906613da6d19f0ed2177964095f7cbd3fbeef5ee33d75aa2c6568c1f97e6407"
+    },
+    {
+      "path": "reports/project/FRESH_COLAB_RESTORE_HANDOFF.json",
+      "bytes": 1846,
+      "sha256": "2423b34d6f7b0c94f83f985624b0c924e6925e3cd616061b52c2f24ef4869fdf"
+    },
+    {
+      "path": "reports/project/FRESH_COLAB_V4_2_RESTORE_HANDOFF.json",
+      "bytes": 1907,
+      "sha256": "2c399d4727035d34412ef80ddcb6afc82de735cd28d9fab2f6c8068a2c8d568f"
+    },
+    {
+      "path": "reports/project/RESTORE_CONTINUATION_BUILD_REPORT.json",
+      "bytes": 4440,
+      "sha256": "3bd5d92bb1890a835c160a8c83b44f344913393715223d7aa3e5ea23c202a680"
+    },
+    {
+      "path": "reports/project/STAGE10_READY.json",
+      "bytes": 2447,
+      "sha256": "6765e9bfeb8b67e269b17cf276bdcd5df8bdc67713142cdcfbab7a0e4631aae5"
+    },
+    {
+      "path": "reports/project/STAGE11_AUTHORIZATION_AUDIT.json",
+      "bytes": 343,
+      "sha256": "074c356bdc8ef2c42e2a121ae3c78951e02fdf446007afca7930d1031123eed8"
+    },
+    {
+      "path": "reports/project/STAGE11_READY.json",
+      "bytes": 1840,
+      "sha256": "b144ad31048e70b6d5bd6c152eb7cf89afcd132b715c897b7ed713fbaf1e4464"
+    },
+    {
+      "path": "reports/project/STAGE12_READY.json",
+      "bytes": 1562,
+      "sha256": "8297eee6e840a966295d4294aaea0357b08f382f042e78aff11dd3f7a53f563a"
+    },
+    {
+      "path": "reports/project/STAGE13_READY.json",
+      "bytes": 2372,
+      "sha256": "954e2d571f68592600b781b92b9c0a1de14d99527415307dcc197c5dd07cbc7c"
+    },
+    {
+      "path": "reports/project/STAGE8_READY.json",
+      "bytes": 901,
+      "sha256": "3d07dffe2c5dcac0d2108206ca041293a3f4caaddc316fb17646d2ad4bd6d4ab"
+    },
+    {
+      "path": "reports/project/STAGE8_READY.txt",
+      "bytes": 596,
+      "sha256": "136757d4666cfbed03c413de60d52881083265ef1b56d1a43ea26c65888ebdf0"
+    },
+    {
+      "path": "reports/project/STAGE9_READY.json",
+      "bytes": 2971,
+      "sha256": "c296b6e7cbf9474c62290b4b4b65d14f1cf1fb446851fe2fdb23ea58f4fe47d5"
+    },
+    {
+      "path": "reports/project/colab_workspace_manifest.json",
+      "bytes": 1743,
+      "sha256": "b456847620f717687aa5d7120a0c0061c20ad88510f2ed47c2bce25057b939f1"
+    },
+    {
+      "path": "reports/project/fresh_colab_stage7_base_recovery_report.json",
+      "bytes": 13550,
+      "sha256": "b1db497848bdf7f6d9f387628e946c8214f0cb0755f66ed9f533ab1df44f42cf"
+    },
+    {
+      "path": "reports/project/fresh_colab_stage7_base_recovery_report.txt",
+      "bytes": 3061,
+      "sha256": "6f7736a79bbe6842bdd4cb7957e41521c132d9d82fef4fa8db84c225bc7e8474"
+    },
+    {
+      "path": "reports/project/pre_step13_storage_cleanup_report.json",
+      "bytes": 13415,
+      "sha256": "3d4b80e58a737159d03775cbe13645f11b6b4e2b3072be246014f1d8b63a7745"
+    },
+    {
+      "path": "reports/project/step01_bootstrap_report.txt",
+      "bytes": 77071,
+      "sha256": "8ee0e4a782e685d8a5ef8d5cfc3ed134674b3a80bcdb345af00a9a1e797e0317"
+    },
+    {
+      "path": "reports/project/step02_exact_q1_f32_report.txt",
+      "bytes": 31827,
+      "sha256": "b818a52670b71dafa008622d67626a774fc69dfc624d63c86811911ca4657b70"
+    },
+    {
+      "path": "reports/project/step03_prism_exact_q1_training_path_report.txt",
+      "bytes": 6523,
+      "sha256": "f0d1481773cb56df04c48caf37d2c4d33c56990cd98f109dd10c7786bf52bd15"
+    },
+    {
+      "path": "reports/project/step03b_native_exact_q1_validation_report.txt",
+      "bytes": 7812,
+      "sha256": "72aab888654f3af49e177f6df6a013e2b7466b479de3fb3c44c390c965fcd261"
+    },
+    {
+      "path": "reports/project/step03c_final_validation_report.txt",
+      "bytes": 5767,
+      "sha256": "ed526936eb0048384b02a4ff3081b3f3836011cda61c822187f7c8c37cd718c0"
+    },
+    {
+      "path": "reports/project/step04_q1_lora_adamw_report.txt",
+      "bytes": 1994,
+      "sha256": "52595e8763471688891796016545a15eda88d196528b4e2f49bd2790243f5803"
+    },
+    {
+      "path": "reports/project/step04b_q1_lora_adamw_report.txt",
+      "bytes": 7300,
+      "sha256": "a01066ffc2c857dd07e49e0705e1ffb32d12806760ee51df5dffef575ff8b9f9"
+    },
+    {
+      "path": "reports/project/step04c_q1_lora_adamw_report.txt",
+      "bytes": 3729,
+      "sha256": "c821fa2c20c174598038e6663a0e366e1fd7fc9a9e878b679f98aeeb2790632e"
+    },
+    {
+      "path": "reports/project/step04d_q1_lora_adamw_behavioral_report.txt",
+      "bytes": 3418,
+      "sha256": "3afb17f08d5d0242d538c6bf3b51b60faefe337d7b69e47ad86943bbf7e97568"
+    },
+    {
+      "path": "reports/project/step04e_q1_lora_adamw_report.txt",
+      "bytes": 61902,
+      "sha256": "0bd97e428e985f494631b0172058f7dbaa0a703da7041282351e1b4d7e032762"
+    },
+    {
+      "path": "reports/project/step04f_q1_lora_adamw_report.txt",
+      "bytes": 5495,
+      "sha256": "8c407d1b22741923fcdbc9fa7f0239f56ceeec749bd77ae04dd6ffd9340c665f"
+    },
+    {
+      "path": "reports/project/step05_real_bonsai_layer_integration_report.txt",
+      "bytes": 6019,
+      "sha256": "182acb98e79ab5ac0a630031440a7da46eeb14d50da62d62d9caccfa98dfbb0f"
+    },
+    {
+      "path": "reports/project/step05b_real_bonsai_layer_integration_report.txt",
+      "bytes": 14277,
+      "sha256": "fba7a13cd11ef04af7f9f95f60385c0a7c3697c7c7d907a5112cfc97d6c69b1e"
+    },
+    {
+      "path": "reports/project/step06_qwen35_loader_integration_report.txt",
+      "bytes": 1968,
+      "sha256": "2d82621ef91c3ba8c53ebb26e29944d48f5d5bd3049bbc5a874403e8827d7482"
+    },
+    {
+      "path": "reports/project/step06b_qwen35_loader_integration_report.txt",
+      "bytes": 5750,
+      "sha256": "f4a045d920198d4941d985c261a1ac429c9850224bcef3d26b1bf63c1f9e0e76"
+    },
+    {
+      "path": "reports/project/step06c_qwen35_loader_integration_report.txt",
+      "bytes": 3958,
+      "sha256": "1f9ff65542b0999bcb0f005b868543e66f248c3e623c8dd850110147bbfe12c1"
+    },
+    {
+      "path": "reports/project/step06d_qwen35_loader_integration_report.txt",
+      "bytes": 92743,
+      "sha256": "3c628c2f30abc3cdd78d5df22c151e2c95d4e61dd9e7a279272fcfddf539def6"
+    },
+    {
+      "path": "reports/project/step07_complete_block_backward_report.txt",
+      "bytes": 144627,
+      "sha256": "b8eb12abcba9891d13379bf86a73e36057a6a7cc6a27bc83b1305933df4bee40"
+    },
+    {
+      "path": "reports/project/step07c3_helper_relocation_report.txt",
+      "bytes": 145656,
+      "sha256": "244527e66c5253267370e9bc23eef78f4dfa36028b37b86e09d101b09139620d"
+    },
+    {
+      "path": "reports/project/step07c_training_no_inplace_backward_report.txt",
+      "bytes": 4063,
+      "sha256": "a9e8c99df04623fff5a1179fb3e0ebe9decdb33508b81ab272b3db7733269088"
+    },
+    {
+      "path": "reports/project/step07d_set_rows_backward_report.txt",
+      "bytes": 148622,
+      "sha256": "7c887b4d5cd373de7e043b20573544d16f764e70650155622709a4da8cf83fd1"
+    },
+    {
+      "path": "reports/project/step07e_sigmoid_gradient_audit_report.txt",
+      "bytes": 149338,
+      "sha256": "e2ccf441c464a53804c56fd099365fbf497a732ccd29345856bf888668fd4ba3"
+    },
+    {
+      "path": "reports/project/step07f_unfused_gdn_safe_gradient_report.txt",
+      "bytes": 161526,
+      "sha256": "4eac0acf0a4b8cba49275d8b2475ac19cfdd1ca27b0872e7b9cae11673289cb4"
+    },
+    {
+      "path": "reports/project/step07y_reconstructed_final_acceptance_report.json",
+      "bytes": 48723,
+      "sha256": "e716c9cc1c3ece236a7dce5e68c073958db82fc6f3863f7249f3e09c35146c40"
+    },
+    {
+      "path": "reports/project/step07y_reconstructed_final_acceptance_report.txt",
+      "bytes": 36797,
+      "sha256": "be7bb546b0e9098f601dede09fe1fc9fccd62058526f1e753be1010ade07e503"
+    },
+    {
+      "path": "reports/project/step07z2_corrected_finalization_report.json",
+      "bytes": 19297,
+      "sha256": "f5c3417712686d633b26740e89f68f77d7352836e29094c2d4244853f5ab7dda"
+    },
+    {
+      "path": "reports/project/step07z2_corrected_finalization_report.txt",
+      "bytes": 12885,
+      "sha256": "4700e77925db344d2c68da06c11dce7e65050a46b169fe83e8f6b953d8f8355d"
+    },
+    {
+      "path": "reports/project/step07z_validation_only_final_report.json",
+      "bytes": 11290,
+      "sha256": "9c3ca6077cd26bee3eea780f156c5028f4b0f3c843fef1a463470ab134ba052e"
+    },
+    {
+      "path": "reports/project/step07z_validation_only_final_report.txt",
+      "bytes": 6702,
+      "sha256": "b9a63973616b30a9a1c6fa395195ff8f674340376a66eb2a6751d1d92321c428"
+    },
+    {
+      "path": "reports/project/step08_multitarget_acceptance_report.json",
+      "bytes": 81843,
+      "sha256": "6c63919e78e7794825e126f69df0e6c8cf2bfa62c82391569a761af838f3e823"
+    },
+    {
+      "path": "reports/project/step08_multitarget_acceptance_report.txt",
+      "bytes": 56105,
+      "sha256": "ce0336208f838a2715edffe9a4452827893d03d68e60dcfd5e9f8481f7e46d25"
+    },
+    {
+      "path": "reports/project/step08_multitarget_acceptance_report_final.json",
+      "bytes": 81843,
+      "sha256": "6c63919e78e7794825e126f69df0e6c8cf2bfa62c82391569a761af838f3e823"
+    },
+    {
+      "path": "reports/project/step08_multitarget_acceptance_report_final.txt",
+      "bytes": 56105,
+      "sha256": "ce0336208f838a2715edffe9a4452827893d03d68e60dcfd5e9f8481f7e46d25"
+    },
+    {
+      "path": "reports/project/step08_multitarget_implementation_report.txt",
+      "bytes": 3656,
+      "sha256": "2b2eeb44aedd2e5240ff9d7ffb3b84928a687091324ce80563e8ee783b968f57"
+    },
+    {
+      "path": "reports/project/step09_dataset_acceptance_report.json",
+      "bytes": 87359,
+      "sha256": "5e1057e99ffbbb235ddff276cf10bb0b44155f2a61a9e4c5301b87efb60b345f"
+    },
+    {
+      "path": "reports/project/step09_dataset_acceptance_report.txt",
+      "bytes": 82363,
+      "sha256": "353eeb54c60dca7487a8dc5ce45cb3d18d164f4645a9ce10897f46becb5755f6"
+    },
+    {
+      "path": "reports/project/step09_dataset_acceptance_report_final.json",
+      "bytes": 87359,
+      "sha256": "5e1057e99ffbbb235ddff276cf10bb0b44155f2a61a9e4c5301b87efb60b345f"
+    },
+    {
+      "path": "reports/project/step09_dataset_acceptance_report_final.txt",
+      "bytes": 82363,
+      "sha256": "353eeb54c60dca7487a8dc5ce45cb3d18d164f4645a9ce10897f46becb5755f6"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/chat_template.txt",
+      "bytes": 7764,
+      "sha256": "e84f32a23fdda27689f868aa4a1a5621f41133e51a48d7f3efcbea2839574259"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/dataset_manifest.json",
+      "bytes": 1990,
+      "sha256": "5bad1083d598bcb9e571ed0e235afdf4b0fe0475ccb7a566d2a5172d99176032"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/fingerprint_material.txt",
+      "bytes": 886,
+      "sha256": "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/train-00000.p9ds",
+      "bytes": 1980,
+      "sha256": "564403c59a25b9a3d367560ef0a61eedb3435e883af2bdd8a30ffdcb7ecb21ad"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/train-00001.p9ds",
+      "bytes": 1980,
+      "sha256": "70a8de0f58843c79f2195a7bc483f871b5fb186b286a69574e354495eafb4063"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/train-00002.p9ds",
+      "bytes": 1980,
+      "sha256": "e251474f66216c8c91521a740be164dbee51944f652ebfc1e4fea449750f73f5"
+    },
+    {
+      "path": "reports/project/step09_dataset_pipeline/artifacts/accepted/validation-00000.p9ds",
+      "bytes": 1980,
+      "sha256": "89f7cad06b7691b9c79ace27322fcfea765b9e5f3a7d5d8960242041725b275f"
+    },
+    {
+      "path": "reports/project/step10_adapter_roundtrip_report.json",
+      "bytes": 35311,
+      "sha256": "ba323b4fbf2c30a867ceeb96767adb66bb253c907003d511a9edf95351ebd0cf"
+    },
+    {
+      "path": "reports/project/step10_adapter_roundtrip_report.txt",
+      "bytes": 9678,
+      "sha256": "767980da7f927e7faf534a7c10f973523c5ea4326205dd6abbc4b6da550bd3c8"
+    },
+    {
+      "path": "reports/project/step10_training_acceptance_report.json",
+      "bytes": 66156,
+      "sha256": "b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc"
+    },
+    {
+      "path": "reports/project/step10_training_acceptance_report.txt",
+      "bytes": 63234,
+      "sha256": "a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289"
+    },
+    {
+      "path": "reports/project/step10_training_acceptance_report_final.json",
+      "bytes": 66156,
+      "sha256": "b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc"
+    },
+    {
+      "path": "reports/project/step10_training_acceptance_report_final.txt",
+      "bytes": 63234,
+      "sha256": "a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/STAGE11_READY.json",
+      "bytes": 1840,
+      "sha256": "b144ad31048e70b6d5bd6c152eb7cf89afcd132b715c897b7ed713fbaf1e4464"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/latest.json",
+      "bytes": 588,
+      "sha256": "4c7f0d4824ba49fd05153f7b559188144faf1a60a824715e7ac32c2f65289f2c"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/raw_adapter/manifest.json",
+      "bytes": 1058,
+      "sha256": "79c8cb293ee9d53463b09e7737f75ba81fd4519906efba3106eec6b915de3fdf"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/step10_adapter_roundtrip_report.json",
+      "bytes": 35311,
+      "sha256": "ba323b4fbf2c30a867ceeb96767adb66bb253c907003d511a9edf95351ebd0cf"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/step10_adapter_roundtrip_report.txt",
+      "bytes": 9678,
+      "sha256": "767980da7f927e7faf534a7c10f973523c5ea4326205dd6abbc4b6da550bd3c8"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/step10_resume_acceptance_report.txt",
+      "bytes": 639,
+      "sha256": "6654f0c535a7773697c143bd1c3efa7cdcce981c33ab210a4470035ef0c89fdf"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/step10_training_acceptance_report_final.json",
+      "bytes": 66156,
+      "sha256": "b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/step10_training_acceptance_report_final.txt",
+      "bytes": 63234,
+      "sha256": "a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/target_configuration.json",
+      "bytes": 237,
+      "sha256": "1bb463ce5dd73ef31ba143c2daa835bd7a8c6dd25808c22a7d53efe728071f53"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/training_config.json",
+      "bytes": 1442,
+      "sha256": "17cb4dacf4d1c41c3f54777d4fc67ec4838b4fc2f9350b6044d6daba2e73588f"
+    },
+    {
+      "path": "reports/project/step10_training_pipeline/artifacts/accepted/training_metrics.json",
+      "bytes": 1433,
+      "sha256": "3c3947031943017b90ba76228d06701c457f37df1dee9599f56b257ec992bfd6"
+    },
+    {
+      "path": "reports/project/step11_quality_acceptance_report_final.json",
+      "bytes": 21161,
+      "sha256": "2ee937c412463014d9597db4dd9bfdcd74f7a02e2f8baaac0411df61b46100ac"
+    },
+    {
+      "path": "reports/project/step11_quality_acceptance_report_final.txt",
+      "bytes": 3808,
+      "sha256": "bb3d953bb0c7818b8aed8ed77e60a879d702245a4f7cc184e9f01466df89764a"
+    },
+    {
+      "path": "reports/project/step11_quality_acceptance_report_v2_2_before_gate_repair.json",
+      "bytes": 19764,
+      "sha256": "e799180343d125ac10cd9d73cb6bf847184882c994de23c749ee846ce63a663e"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_performance_stability_report_final.json",
+      "bytes": 45517,
+      "sha256": "38507ed7f35b3de4e15ccfa9eaa239480602181f9c9cf9097aac923007cbaf5d"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_performance_stability_report_final.txt",
+      "bytes": 7419,
+      "sha256": "b63e4d7590f500aabe25f53553d90ae4029bc3049f9067128ba3e657cc7d0025"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_v1_3_finalizer_summary.json",
+      "bytes": 32586,
+      "sha256": "9fa19eafd68dc4ca983bd2ff2d382ae5d524a3a9ad6fe9e53ba0ccc3cad4cbec"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_pipeline/artifacts/accepted/training_resume_stress_summary.json",
+      "bytes": 6127,
+      "sha256": "7d599cf8cf755346f805086f518280b78dfc47339ffb8f975ea8275efac1ff96"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_report_final.json",
+      "bytes": 45517,
+      "sha256": "38507ed7f35b3de4e15ccfa9eaa239480602181f9c9cf9097aac923007cbaf5d"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_report_final.txt",
+      "bytes": 7419,
+      "sha256": "b63e4d7590f500aabe25f53553d90ae4029bc3049f9067128ba3e657cc7d0025"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_report_v1_before_finalizer.json",
+      "bytes": 33186,
+      "sha256": "8971c660fd8e368047a8203a306c9ac7f4c6e9b23527a79bcfd4f4d092f7380a"
+    },
+    {
+      "path": "reports/project/step12_performance_stability_report_v1_before_resume_repair.json",
+      "bytes": 33186,
+      "sha256": "8971c660fd8e368047a8203a306c9ac7f4c6e9b23527a79bcfd4f4d092f7380a"
+    },
+    {
+      "path": "reports/project/target_inventory.json",
+      "bytes": 129623,
+      "sha256": "751ed0e8b98f6125c330e6901327be526f8fcf2828d6297e7a0a45247fd42c87"
+    },
+    {
+      "path": "reports/raw_evidence/performance_base.log",
+      "bytes": 2930,
+      "sha256": "8b5a13c344d58edd7b47e34b1383adf3f06c06c6f53a9c73d429047102b9efbc"
+    },
+    {
+      "path": "reports/raw_evidence/performance_trained.log",
+      "bytes": 3044,
+      "sha256": "a0d2a94c707d0a7a4cf2bd80c7be0d35664e4d9c6f640e8889ac5f61fb75ac7a"
+    },
+    {
+      "path": "reports/raw_evidence/quick_soak.log",
+      "bytes": 4027,
+      "sha256": "42af3564dc6bc021d6376b1cece355289b3dd7e7ea1b458de78bca7cb7e9b8ac"
+    },
+    {
+      "path": "reports/raw_evidence/resume_a.log",
+      "bytes": 184674,
+      "sha256": "7017e36f757286fe6b023342e6291fb04457688c4a1f3afe6274877e7852be83"
+    },
+    {
+      "path": "reports/raw_evidence/resume_b.log",
+      "bytes": 184674,
+      "sha256": "53cbe064467842200e22c88a5755262bc665191bfdfe935b39ded41f34c5f0b4"
+    },
+    {
+      "path": "reproduce/BUILD_CONFIG.json",
+      "bytes": 466,
+      "sha256": "f25a654a28179cc8b6f763e5ab7aa53527957518d5a22c2e45bdaf957ed025fa"
+    },
+    {
+      "path": "reproduce/MODEL_REFERENCES.json",
+      "bytes": 690,
+      "sha256": "69dabbe32186fe19fdde9d310b1a63280359c4be470a59a532d6ca78b457b593"
+    },
+    {
+      "path": "reproduce/download_models.py",
+      "bytes": 1702,
+      "sha256": "b90f53f58228407538b61667988cf1bf68c59f04e70aa8ceb72d291419642d34"
+    },
+    {
+      "path": "reproduce/requirements.txt",
+      "bytes": 28,
+      "sha256": "fa2532782a106fcdaa053c0e8ac44cb98e8bf59ec7b552ef803ef52f674bdbe4"
+    },
+    {
+      "path": "reproduce/restore_and_build.py",
+      "bytes": 1912,
+      "sha256": "eebcae6e3a564de0a0401c20681e0876368a37d8d0b56299f860203a685db9ab"
+    },
+    {
+      "path": "reproduce/verify_release.py",
+      "bytes": 1050,
+      "sha256": "6d2b6dcad08e618ff5b929952380cd78b04e9fbd9f48bb8fd799be481cdc65d0"
+    },
+    {
+      "path": "source/GIT_DIFF_STAT.txt",
+      "bytes": 875,
+      "sha256": "914551649aeae5656b898e250bdc910f2115524969e641357faa219aad40dfcf"
+    },
+    {
+      "path": "source/GIT_STATUS.txt",
+      "bytes": 830,
+      "sha256": "67294a4ea13b51d63fa6cdb43b812ebafe3ed9559a6cc03ee53506c98599ddd4"
+    },
+    {
+      "path": "source/PINNED_COMMIT.txt",
+      "bytes": 41,
+      "sha256": "95c178e7df22a8d2cfe913b0c5dc86af939fb5e2dae61aef98bc95e934530efd"
+    },
+    {
+      "path": "source/SOURCE_SNAPSHOT.json",
+      "bytes": 202,
+      "sha256": "506b2f32dfd1ce173abf6203a25c85cd284cb8419dcad15b5a901c9a4db7f7ab"
+    },
+    {
+      "path": "source/UNTRACKED_SOURCE_MANIFEST.json",
+      "bytes": 4463,
+      "sha256": "e4a3e257bcd2b998772327531b07b9096c4054538f69465d40e23c0c7ab20a24"
+    },
+    {
+      "path": "source/prism_native_q1_lora.patch",
+      "bytes": 118655,
+      "sha256": "3d3a039aed73bac65974d8321c6dfe73a270a2e4bebeecb3d994692fd9d2dd67"
+    },
+    {
+      "path": "source/untracked_files/ggml/src/ggml-cuda/mulmat-q1-f32.cu",
+      "bytes": 6450,
+      "sha256": "7cb8be48cc0c9101ba1097931522ae828cb3ce4797a603dcd380d3aac0e92a35"
+    },
+    {
+      "path": "source/untracked_files/ggml/src/ggml-cuda/mulmat-q1-f32.cuh",
+      "bytes": 458,
+      "sha256": "a84302578c27c05b38c835fad036b9d773579cc94a731d76fb384e1929607fdc"
+    },
+    {
+      "path": "source/untracked_files/tests/test-bonsai-q1-lora-layers.cpp",
+      "bytes": 41899,
+      "sha256": "c38752a65ab99199c556d8e46d4dc2a0ef0d43c42a1aacd720502e41dfe58182"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-dataset.cpp",
+      "bytes": 52382,
+      "sha256": "410b1150b5da1a22c7ba3e82a33888d61dc5ae55ad756e9596cbc6b2d1e80b39"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-full-backward.cpp",
+      "bytes": 19794,
+      "sha256": "3161cd2bf363c719ed2d4edfaedeec69ebbf5560ee2ff1a764e3647d8676d8ca"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-loader-blocks.cpp",
+      "bytes": 21713,
+      "sha256": "fd3d0e5a6dd8ef946143ed70ed383cebab8bdd364cc573f20ba184c313b43093"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-multitarget.cpp",
+      "bytes": 37613,
+      "sha256": "62864dde7f1416ff31049c51d1a759f5a943f06b172948e6f41b1deaafb25b9e"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-opt.cpp",
+      "bytes": 40228,
+      "sha256": "bac0041553a8de2f4143434029d631f81833582c40da2751e75e0c22d31d7f61"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-roundtrip.cpp",
+      "bytes": 4508,
+      "sha256": "a74b16e2b2fe1b7bc7d237c2d33055972b0c6e450af2f097da1b0936ba1d1aa4"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-step10.cpp",
+      "bytes": 46777,
+      "sha256": "0caac9b2ce9ffd5a1368e48eb679d7c62ac742502b91e058c43866e13dc49991"
+    },
+    {
+      "path": "source/untracked_files/tests/test-q1-lora-step11.cpp",
+      "bytes": 49255,
+      "sha256": "096aae14e6a359dce8d471d7902af4e3b40ec63adaeb391dd56794ac83d9a933"
+    }
+  ]
+}

RELEASE_NOTES.md

@@ -0,0 +1,7 @@
+# Release notes
+
+- Steps 8–12: accepted.
+- Clean source reproduction: PASS.
+- Base model intentionally excluded.
+- Source patch, dataset, adapters, checkpoints, reports and verification scripts included.
+- This is a proof-of-training release, not a quality LoRA claim.

SHA256SUMS

@@ -0,0 +1,179 @@
+2c1b265c1c1da934495134e4c2b4ba208fef5a6454860140f3dc04a65600b611  CITATION.cff
+c6fc1f6091a63e6c7f19a4fbece562cfbe9955728f6ff5adc8f8d1c317647f97  LICENSE-NOTICE.md
+ecfef23a71a423b0f6621c11b71a7255d3f8a92fd04b293498a7b024e9a34399  MODEL_REFERENCE.json
+543ce8cee6da31889c4803c162fc2c214032eb7bec6b26a1e077ce5edff81190  README.md
+50aa02dc4d85c2cfc3c407ec2dbe1f6373cde833aa919f4b85597807aaaa8087  RELEASE_MANIFEST.json
+8ab18be92be8d9bcba75fae854a05ff0b3caffbb797923658ab2900cd2a47e5b  RELEASE_NOTES.md
+84d835c964c4a0ae32fed9be2106124ff9319b74317ba9cdb0ea21069150edb5  adapters/multi_target_adapter_initial.gguf
+c6c163276a50c144315543a49ecdccd725608b5e3a653733a4a589369e0233d2  adapters/quick_resume_adapter.gguf
+6ba256d4e1836a177a8c7519d05a95639d47f4ee181fb6fcd438eee40805549f  adapters/step10_adapter_final.gguf
+5b0ad0bf3074f09a21d9111e7ba51ab3a868a4a03fa303bbf9c61502dae56d43  binaries/linux-colab-cuda/BINARY_MANIFEST.json
+8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca  binaries/linux-colab-cuda/libggml-base.so
+8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca  binaries/linux-colab-cuda/libggml-base.so.0
+8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca  binaries/linux-colab-cuda/libggml-base.so.0.13.1
+40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173  binaries/linux-colab-cuda/libggml-cpu.so
+40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173  binaries/linux-colab-cuda/libggml-cpu.so.0
+40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173  binaries/linux-colab-cuda/libggml-cpu.so.0.13.1
+8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a  binaries/linux-colab-cuda/libggml-cuda.so
+8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a  binaries/linux-colab-cuda/libggml-cuda.so.0
+8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a  binaries/linux-colab-cuda/libggml-cuda.so.0.13.1
+71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8  binaries/linux-colab-cuda/libggml.so
+71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8  binaries/linux-colab-cuda/libggml.so.0
+71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8  binaries/linux-colab-cuda/libggml.so.0.13.1
+bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba  binaries/linux-colab-cuda/libllama-common.so
+bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba  binaries/linux-colab-cuda/libllama-common.so.0
+bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba  binaries/linux-colab-cuda/libllama-common.so.0.0.1
+a2805c9a53ec1f3929b47104bf7c6df51c1504913241262fd247cd2b0fc88f72  binaries/linux-colab-cuda/libllama-completion-impl.so
+c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7  binaries/linux-colab-cuda/libllama.so
+c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7  binaries/linux-colab-cuda/libllama.so.0
+c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7  binaries/linux-colab-cuda/libllama.so.0.0.1
+b068163fe18c709ecd06cafe47d21e478854ad2a270343ab5e9f2dcece66ea3a  binaries/linux-colab-cuda/llama-completion
+ae0355324a0e7090f76b08b9074f2e074904569afd153ba00056c4f6ea70076b  binaries/linux-colab-cuda/llama-tokenize
+a7599fcd50d0868683c4a07d70fb19883276bc79bb78edc69844266fb4ffa0e0  binaries/linux-colab-cuda/test-q1-lora-dataset
+6ae570c8e413f47eabc88a2f7e7e9c4cd5e73b489f4bedc3ced0ebbaef088132  binaries/linux-colab-cuda/test-q1-lora-multitarget
+4f741f52f9b3b035ada892f0b88fe811d01783bb04189b38eebb43790290b935  binaries/linux-colab-cuda/test-q1-lora-roundtrip
+07d0cf5996bbcd58cccc903d888fe6ed3ffe978ee0fd2c999247a8cad8b7dfe8  binaries/linux-colab-cuda/test-q1-lora-step10
+d10511d5b02defde5dcd7181c0984279528242334fe379866a419a99a5d7cc45  binaries/linux-colab-cuda/test-q1-lora-step11
+1ba5545af5c33aacd7c1d2b395afe0e53e4fac5f1fd07ea56353c5a0c9fa64b9  checkpoints/checkpoint_latest.p10ck
+7c8e9b000eac8fa3ca60883b76f6a6c2ffe6126d97b3c861dfef70dcc4e3080c  checkpoints/quick_resume_checkpoint.p10ck
+cefb485353602c1ddf4e7a3bf6d322b60bb8acc5beadd2cdceec710ed4f08d4d  clean_repro_logs/01_worktree_add.log
+ce007e49f3ad18634717ed53ab2628d6feb610aa32290dae74097c4b68d68200  clean_repro_logs/02_patch_apply.log
+67294a4ea13b51d63fa6cdb43b812ebafe3ed9559a6cc03ee53506c98599ddd4  clean_repro_logs/03_clean_status.txt
+d82ab1c4738518d35324f8cfc622a95f7c4362d9ef8ba28e45987201e0b208bb  clean_repro_logs/04_cmake_configure.log
+212f16209b1b31186080470885617a654602cc5619d7cb1c38ae81d05bbac779  clean_repro_logs/05_cmake_build.log
+16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73  clean_repro_logs/06_checkpoint_verify.log
+16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73  clean_repro_logs/06_checkpoint_verify_original_failure.log
+16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73  clean_repro_logs/06_checkpoint_verify_preserved.log
+16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73  clean_repro_logs/06_checkpoint_verify_v1_1_repaired.log
+16d532e8e53f546199f0c702268f45d9a1f6a42f048a84e0503453dc10676a73  clean_repro_logs/06_checkpoint_verify_v1_1_repaired_preserved.log
+6391ecf5327bcad8de304179822de53a446b5a85adbcb3821e9cba5944aa34b2  clean_repro_logs/06_checkpoint_verify_v1_2_accepted_config.log
+330919deadb5df28531c39401e3baa3fcb21b72fe4092681ee44c9f781d84432  clean_repro_logs/07_base_smoke_v1_2.log
+3d1fa77fda7d31314e9fd346654556a83a89f247eadb77176a1a32c035383562  clean_repro_logs/08_adapter_smoke_v1_2.log
+2c07de56cb022befff826d37bd7cdb5ba0b6b3c8421ef5ee484040dab0b4e2b4  clean_repro_logs/CLEAN_REPRO_RESULT.json
+e84f32a23fdda27689f868aa4a1a5621f41133e51a48d7f3efcbea2839574259  dataset/chat_template.txt
+5bad1083d598bcb9e571ed0e235afdf4b0fe0475ccb7a566d2a5172d99176032  dataset/dataset_manifest.json
+db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d  dataset/fingerprint_material.txt
+c9c05acba5201f81d600ca02e1fce8d3967106c5140b0cf7ee3e2dd584251ddb  dataset/split_assignments.tsv
+564403c59a25b9a3d367560ef0a61eedb3435e883af2bdd8a30ffdcb7ecb21ad  dataset/train-00000.p9ds
+70a8de0f58843c79f2195a7bc483f871b5fb186b286a69574e354495eafb4063  dataset/train-00001.p9ds
+e251474f66216c8c91521a740be164dbee51944f652ebfc1e4fea449750f73f5  dataset/train-00002.p9ds
+89f7cad06b7691b9c79ace27322fcfea765b9e5f3a7d5d8960242041725b275f  dataset/validation-00000.p9ds
+2ad2b65815c5bce31bce55819e1a7f18be7f4fe9b0211bfdf3293e60fbcc5dc3  reports/BUILD_ENVIRONMENT.txt
+9906613da6d19f0ed2177964095f7cbd3fbeef5ee33d75aa2c6568c1f97e6407  reports/EVIDENCE_INDEX.json
+2423b34d6f7b0c94f83f985624b0c924e6925e3cd616061b52c2f24ef4869fdf  reports/project/FRESH_COLAB_RESTORE_HANDOFF.json
+2c399d4727035d34412ef80ddcb6afc82de735cd28d9fab2f6c8068a2c8d568f  reports/project/FRESH_COLAB_V4_2_RESTORE_HANDOFF.json
+3bd5d92bb1890a835c160a8c83b44f344913393715223d7aa3e5ea23c202a680  reports/project/RESTORE_CONTINUATION_BUILD_REPORT.json
+6765e9bfeb8b67e269b17cf276bdcd5df8bdc67713142cdcfbab7a0e4631aae5  reports/project/STAGE10_READY.json
+074c356bdc8ef2c42e2a121ae3c78951e02fdf446007afca7930d1031123eed8  reports/project/STAGE11_AUTHORIZATION_AUDIT.json
+b144ad31048e70b6d5bd6c152eb7cf89afcd132b715c897b7ed713fbaf1e4464  reports/project/STAGE11_READY.json
+8297eee6e840a966295d4294aaea0357b08f382f042e78aff11dd3f7a53f563a  reports/project/STAGE12_READY.json
+954e2d571f68592600b781b92b9c0a1de14d99527415307dcc197c5dd07cbc7c  reports/project/STAGE13_READY.json
+3d07dffe2c5dcac0d2108206ca041293a3f4caaddc316fb17646d2ad4bd6d4ab  reports/project/STAGE8_READY.json
+136757d4666cfbed03c413de60d52881083265ef1b56d1a43ea26c65888ebdf0  reports/project/STAGE8_READY.txt
+c296b6e7cbf9474c62290b4b4b65d14f1cf1fb446851fe2fdb23ea58f4fe47d5  reports/project/STAGE9_READY.json
+b456847620f717687aa5d7120a0c0061c20ad88510f2ed47c2bce25057b939f1  reports/project/colab_workspace_manifest.json
+b1db497848bdf7f6d9f387628e946c8214f0cb0755f66ed9f533ab1df44f42cf  reports/project/fresh_colab_stage7_base_recovery_report.json
+6f7736a79bbe6842bdd4cb7957e41521c132d9d82fef4fa8db84c225bc7e8474  reports/project/fresh_colab_stage7_base_recovery_report.txt
+3d4b80e58a737159d03775cbe13645f11b6b4e2b3072be246014f1d8b63a7745  reports/project/pre_step13_storage_cleanup_report.json
+8ee0e4a782e685d8a5ef8d5cfc3ed134674b3a80bcdb345af00a9a1e797e0317  reports/project/step01_bootstrap_report.txt
+b818a52670b71dafa008622d67626a774fc69dfc624d63c86811911ca4657b70  reports/project/step02_exact_q1_f32_report.txt
+f0d1481773cb56df04c48caf37d2c4d33c56990cd98f109dd10c7786bf52bd15  reports/project/step03_prism_exact_q1_training_path_report.txt
+72aab888654f3af49e177f6df6a013e2b7466b479de3fb3c44c390c965fcd261  reports/project/step03b_native_exact_q1_validation_report.txt
+ed526936eb0048384b02a4ff3081b3f3836011cda61c822187f7c8c37cd718c0  reports/project/step03c_final_validation_report.txt
+52595e8763471688891796016545a15eda88d196528b4e2f49bd2790243f5803  reports/project/step04_q1_lora_adamw_report.txt
+a01066ffc2c857dd07e49e0705e1ffb32d12806760ee51df5dffef575ff8b9f9  reports/project/step04b_q1_lora_adamw_report.txt
+c821fa2c20c174598038e6663a0e366e1fd7fc9a9e878b679f98aeeb2790632e  reports/project/step04c_q1_lora_adamw_report.txt
+3afb17f08d5d0242d538c6bf3b51b60faefe337d7b69e47ad86943bbf7e97568  reports/project/step04d_q1_lora_adamw_behavioral_report.txt
+0bd97e428e985f494631b0172058f7dbaa0a703da7041282351e1b4d7e032762  reports/project/step04e_q1_lora_adamw_report.txt
+8c407d1b22741923fcdbc9fa7f0239f56ceeec749bd77ae04dd6ffd9340c665f  reports/project/step04f_q1_lora_adamw_report.txt
+182acb98e79ab5ac0a630031440a7da46eeb14d50da62d62d9caccfa98dfbb0f  reports/project/step05_real_bonsai_layer_integration_report.txt
+fba7a13cd11ef04af7f9f95f60385c0a7c3697c7c7d907a5112cfc97d6c69b1e  reports/project/step05b_real_bonsai_layer_integration_report.txt
+2d82621ef91c3ba8c53ebb26e29944d48f5d5bd3049bbc5a874403e8827d7482  reports/project/step06_qwen35_loader_integration_report.txt
+f4a045d920198d4941d985c261a1ac429c9850224bcef3d26b1bf63c1f9e0e76  reports/project/step06b_qwen35_loader_integration_report.txt
+1f9ff65542b0999bcb0f005b868543e66f248c3e623c8dd850110147bbfe12c1  reports/project/step06c_qwen35_loader_integration_report.txt
+3c628c2f30abc3cdd78d5df22c151e2c95d4e61dd9e7a279272fcfddf539def6  reports/project/step06d_qwen35_loader_integration_report.txt
+b8eb12abcba9891d13379bf86a73e36057a6a7cc6a27bc83b1305933df4bee40  reports/project/step07_complete_block_backward_report.txt
+244527e66c5253267370e9bc23eef78f4dfa36028b37b86e09d101b09139620d  reports/project/step07c3_helper_relocation_report.txt
+a9e8c99df04623fff5a1179fb3e0ebe9decdb33508b81ab272b3db7733269088  reports/project/step07c_training_no_inplace_backward_report.txt
+7c887b4d5cd373de7e043b20573544d16f764e70650155622709a4da8cf83fd1  reports/project/step07d_set_rows_backward_report.txt
+e2ccf441c464a53804c56fd099365fbf497a732ccd29345856bf888668fd4ba3  reports/project/step07e_sigmoid_gradient_audit_report.txt
+4eac0acf0a4b8cba49275d8b2475ac19cfdd1ca27b0872e7b9cae11673289cb4  reports/project/step07f_unfused_gdn_safe_gradient_report.txt
+e716c9cc1c3ece236a7dce5e68c073958db82fc6f3863f7249f3e09c35146c40  reports/project/step07y_reconstructed_final_acceptance_report.json
+be7bb546b0e9098f601dede09fe1fc9fccd62058526f1e753be1010ade07e503  reports/project/step07y_reconstructed_final_acceptance_report.txt
+f5c3417712686d633b26740e89f68f77d7352836e29094c2d4244853f5ab7dda  reports/project/step07z2_corrected_finalization_report.json
+4700e77925db344d2c68da06c11dce7e65050a46b169fe83e8f6b953d8f8355d  reports/project/step07z2_corrected_finalization_report.txt
+9c3ca6077cd26bee3eea780f156c5028f4b0f3c843fef1a463470ab134ba052e  reports/project/step07z_validation_only_final_report.json
+b9a63973616b30a9a1c6fa395195ff8f674340376a66eb2a6751d1d92321c428  reports/project/step07z_validation_only_final_report.txt
+6c63919e78e7794825e126f69df0e6c8cf2bfa62c82391569a761af838f3e823  reports/project/step08_multitarget_acceptance_report.json
+ce0336208f838a2715edffe9a4452827893d03d68e60dcfd5e9f8481f7e46d25  reports/project/step08_multitarget_acceptance_report.txt
+6c63919e78e7794825e126f69df0e6c8cf2bfa62c82391569a761af838f3e823  reports/project/step08_multitarget_acceptance_report_final.json
+ce0336208f838a2715edffe9a4452827893d03d68e60dcfd5e9f8481f7e46d25  reports/project/step08_multitarget_acceptance_report_final.txt
+2b2eeb44aedd2e5240ff9d7ffb3b84928a687091324ce80563e8ee783b968f57  reports/project/step08_multitarget_implementation_report.txt
+5e1057e99ffbbb235ddff276cf10bb0b44155f2a61a9e4c5301b87efb60b345f  reports/project/step09_dataset_acceptance_report.json
+353eeb54c60dca7487a8dc5ce45cb3d18d164f4645a9ce10897f46becb5755f6  reports/project/step09_dataset_acceptance_report.txt
+5e1057e99ffbbb235ddff276cf10bb0b44155f2a61a9e4c5301b87efb60b345f  reports/project/step09_dataset_acceptance_report_final.json
+353eeb54c60dca7487a8dc5ce45cb3d18d164f4645a9ce10897f46becb5755f6  reports/project/step09_dataset_acceptance_report_final.txt
+e84f32a23fdda27689f868aa4a1a5621f41133e51a48d7f3efcbea2839574259  reports/project/step09_dataset_pipeline/artifacts/accepted/chat_template.txt
+5bad1083d598bcb9e571ed0e235afdf4b0fe0475ccb7a566d2a5172d99176032  reports/project/step09_dataset_pipeline/artifacts/accepted/dataset_manifest.json
+db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d  reports/project/step09_dataset_pipeline/artifacts/accepted/fingerprint_material.txt
+564403c59a25b9a3d367560ef0a61eedb3435e883af2bdd8a30ffdcb7ecb21ad  reports/project/step09_dataset_pipeline/artifacts/accepted/train-00000.p9ds
+70a8de0f58843c79f2195a7bc483f871b5fb186b286a69574e354495eafb4063  reports/project/step09_dataset_pipeline/artifacts/accepted/train-00001.p9ds
+e251474f66216c8c91521a740be164dbee51944f652ebfc1e4fea449750f73f5  reports/project/step09_dataset_pipeline/artifacts/accepted/train-00002.p9ds
+89f7cad06b7691b9c79ace27322fcfea765b9e5f3a7d5d8960242041725b275f  reports/project/step09_dataset_pipeline/artifacts/accepted/validation-00000.p9ds
+ba323b4fbf2c30a867ceeb96767adb66bb253c907003d511a9edf95351ebd0cf  reports/project/step10_adapter_roundtrip_report.json
+767980da7f927e7faf534a7c10f973523c5ea4326205dd6abbc4b6da550bd3c8  reports/project/step10_adapter_roundtrip_report.txt
+b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc  reports/project/step10_training_acceptance_report.json
+a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289  reports/project/step10_training_acceptance_report.txt
+b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc  reports/project/step10_training_acceptance_report_final.json
+a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289  reports/project/step10_training_acceptance_report_final.txt
+b144ad31048e70b6d5bd6c152eb7cf89afcd132b715c897b7ed713fbaf1e4464  reports/project/step10_training_pipeline/artifacts/accepted/STAGE11_READY.json
+4c7f0d4824ba49fd05153f7b559188144faf1a60a824715e7ac32c2f65289f2c  reports/project/step10_training_pipeline/artifacts/accepted/latest.json
+79c8cb293ee9d53463b09e7737f75ba81fd4519906efba3106eec6b915de3fdf  reports/project/step10_training_pipeline/artifacts/accepted/raw_adapter/manifest.json
+ba323b4fbf2c30a867ceeb96767adb66bb253c907003d511a9edf95351ebd0cf  reports/project/step10_training_pipeline/artifacts/accepted/step10_adapter_roundtrip_report.json
+767980da7f927e7faf534a7c10f973523c5ea4326205dd6abbc4b6da550bd3c8  reports/project/step10_training_pipeline/artifacts/accepted/step10_adapter_roundtrip_report.txt
+6654f0c535a7773697c143bd1c3efa7cdcce981c33ab210a4470035ef0c89fdf  reports/project/step10_training_pipeline/artifacts/accepted/step10_resume_acceptance_report.txt
+b1cf078b3c19124957b43bb206daa9161d28832866814c4b7e4cbefbf88e0dbc  reports/project/step10_training_pipeline/artifacts/accepted/step10_training_acceptance_report_final.json
+a07883732e85c017fc4b1412512607e207fd541c6f9cdb0a290c707f9c762289  reports/project/step10_training_pipeline/artifacts/accepted/step10_training_acceptance_report_final.txt
+1bb463ce5dd73ef31ba143c2daa835bd7a8c6dd25808c22a7d53efe728071f53  reports/project/step10_training_pipeline/artifacts/accepted/target_configuration.json
+17cb4dacf4d1c41c3f54777d4fc67ec4838b4fc2f9350b6044d6daba2e73588f  reports/project/step10_training_pipeline/artifacts/accepted/training_config.json
+3c3947031943017b90ba76228d06701c457f37df1dee9599f56b257ec992bfd6  reports/project/step10_training_pipeline/artifacts/accepted/training_metrics.json
+2ee937c412463014d9597db4dd9bfdcd74f7a02e2f8baaac0411df61b46100ac  reports/project/step11_quality_acceptance_report_final.json
+bb3d953bb0c7818b8aed8ed77e60a879d702245a4f7cc184e9f01466df89764a  reports/project/step11_quality_acceptance_report_final.txt
+e799180343d125ac10cd9d73cb6bf847184882c994de23c749ee846ce63a663e  reports/project/step11_quality_acceptance_report_v2_2_before_gate_repair.json
+38507ed7f35b3de4e15ccfa9eaa239480602181f9c9cf9097aac923007cbaf5d  reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_performance_stability_report_final.json
+b63e4d7590f500aabe25f53553d90ae4029bc3049f9067128ba3e657cc7d0025  reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_performance_stability_report_final.txt
+9fa19eafd68dc4ca983bd2ff2d382ae5d524a3a9ad6fe9e53ba0ccc3cad4cbec  reports/project/step12_performance_stability_pipeline/artifacts/accepted/step12_v1_3_finalizer_summary.json
+7d599cf8cf755346f805086f518280b78dfc47339ffb8f975ea8275efac1ff96  reports/project/step12_performance_stability_pipeline/artifacts/accepted/training_resume_stress_summary.json
+38507ed7f35b3de4e15ccfa9eaa239480602181f9c9cf9097aac923007cbaf5d  reports/project/step12_performance_stability_report_final.json
+b63e4d7590f500aabe25f53553d90ae4029bc3049f9067128ba3e657cc7d0025  reports/project/step12_performance_stability_report_final.txt
+8971c660fd8e368047a8203a306c9ac7f4c6e9b23527a79bcfd4f4d092f7380a  reports/project/step12_performance_stability_report_v1_before_finalizer.json
+8971c660fd8e368047a8203a306c9ac7f4c6e9b23527a79bcfd4f4d092f7380a  reports/project/step12_performance_stability_report_v1_before_resume_repair.json
+751ed0e8b98f6125c330e6901327be526f8fcf2828d6297e7a0a45247fd42c87  reports/project/target_inventory.json
+8b5a13c344d58edd7b47e34b1383adf3f06c06c6f53a9c73d429047102b9efbc  reports/raw_evidence/performance_base.log
+a0d2a94c707d0a7a4cf2bd80c7be0d35664e4d9c6f640e8889ac5f61fb75ac7a  reports/raw_evidence/performance_trained.log
+42af3564dc6bc021d6376b1cece355289b3dd7e7ea1b458de78bca7cb7e9b8ac  reports/raw_evidence/quick_soak.log
+7017e36f757286fe6b023342e6291fb04457688c4a1f3afe6274877e7852be83  reports/raw_evidence/resume_a.log
+53cbe064467842200e22c88a5755262bc665191bfdfe935b39ded41f34c5f0b4  reports/raw_evidence/resume_b.log
+f25a654a28179cc8b6f763e5ab7aa53527957518d5a22c2e45bdaf957ed025fa  reproduce/BUILD_CONFIG.json
+69dabbe32186fe19fdde9d310b1a63280359c4be470a59a532d6ca78b457b593  reproduce/MODEL_REFERENCES.json
+b90f53f58228407538b61667988cf1bf68c59f04e70aa8ceb72d291419642d34  reproduce/download_models.py
+fa2532782a106fcdaa053c0e8ac44cb98e8bf59ec7b552ef803ef52f674bdbe4  reproduce/requirements.txt
+eebcae6e3a564de0a0401c20681e0876368a37d8d0b56299f860203a685db9ab  reproduce/restore_and_build.py
+6d2b6dcad08e618ff5b929952380cd78b04e9fbd9f48bb8fd799be481cdc65d0  reproduce/verify_release.py
+914551649aeae5656b898e250bdc910f2115524969e641357faa219aad40dfcf  source/GIT_DIFF_STAT.txt
+67294a4ea13b51d63fa6cdb43b812ebafe3ed9559a6cc03ee53506c98599ddd4  source/GIT_STATUS.txt
+95c178e7df22a8d2cfe913b0c5dc86af939fb5e2dae61aef98bc95e934530efd  source/PINNED_COMMIT.txt
+506b2f32dfd1ce173abf6203a25c85cd284cb8419dcad15b5a901c9a4db7f7ab  source/SOURCE_SNAPSHOT.json
+e4a3e257bcd2b998772327531b07b9096c4054538f69465d40e23c0c7ab20a24  source/UNTRACKED_SOURCE_MANIFEST.json
+3d3a039aed73bac65974d8321c6dfe73a270a2e4bebeecb3d994692fd9d2dd67  source/prism_native_q1_lora.patch
+7cb8be48cc0c9101ba1097931522ae828cb3ce4797a603dcd380d3aac0e92a35  source/untracked_files/ggml/src/ggml-cuda/mulmat-q1-f32.cu
+a84302578c27c05b38c835fad036b9d773579cc94a731d76fb384e1929607fdc  source/untracked_files/ggml/src/ggml-cuda/mulmat-q1-f32.cuh
+c38752a65ab99199c556d8e46d4dc2a0ef0d43c42a1aacd720502e41dfe58182  source/untracked_files/tests/test-bonsai-q1-lora-layers.cpp
+410b1150b5da1a22c7ba3e82a33888d61dc5ae55ad756e9596cbc6b2d1e80b39  source/untracked_files/tests/test-q1-lora-dataset.cpp
+3161cd2bf363c719ed2d4edfaedeec69ebbf5560ee2ff1a764e3647d8676d8ca  source/untracked_files/tests/test-q1-lora-full-backward.cpp
+fd3d0e5a6dd8ef946143ed70ed383cebab8bdd364cc573f20ba184c313b43093  source/untracked_files/tests/test-q1-lora-loader-blocks.cpp
+62864dde7f1416ff31049c51d1a759f5a943f06b172948e6f41b1deaafb25b9e  source/untracked_files/tests/test-q1-lora-multitarget.cpp
+bac0041553a8de2f4143434029d631f81833582c40da2751e75e0c22d31d7f61  source/untracked_files/tests/test-q1-lora-opt.cpp
+a74b16e2b2fe1b7bc7d237c2d33055972b0c6e450af2f097da1b0936ba1d1aa4  source/untracked_files/tests/test-q1-lora-roundtrip.cpp
+0caac9b2ce9ffd5a1368e48eb679d7c62ac742502b91e058c43866e13dc49991  source/untracked_files/tests/test-q1-lora-step10.cpp
+096aae14e6a359dce8d471d7902af4e3b40ec63adaeb391dd56794ac83d9a933  source/untracked_files/tests/test-q1-lora-step11.cpp

adapters/multi_target_adapter_initial.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84d835c964c4a0ae32fed9be2106124ff9319b74317ba9cdb0ea21069150edb5
+size 542208

adapters/quick_resume_adapter.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6c163276a50c144315543a49ecdccd725608b5e3a653733a4a589369e0233d2
+size 542208

adapters/step10_adapter_final.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ba256d4e1836a177a8c7519d05a95639d47f4ee181fb6fcd438eee40805549f
+size 542208

binaries/linux-colab-cuda/BINARY_MANIFEST.json

@@ -0,0 +1,147 @@
+{
+  "platform": "Linux x86_64",
+  "build_type": "Release",
+  "source_commit": "7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f",
+  "checkpoint_configuration": {
+    "seed": 1234,
+    "train_context": 64,
+    "target_global_steps": 10,
+    "accumulation_steps": 2,
+    "base_lr": 0.0002,
+    "min_lr": 2e-05,
+    "warmup_steps": 1,
+    "max_grad_norm": 0.001
+  },
+  "files": [
+    {
+      "path": "libggml-base.so",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "libggml-base.so.0",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "libggml-base.so.0.13.1",
+      "bytes": 914792,
+      "sha256": "8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca"
+    },
+    {
+      "path": "libggml-cpu.so",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "libggml-cpu.so.0",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "libggml-cpu.so.0.13.1",
+      "bytes": 1299840,
+      "sha256": "40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173"
+    },
+    {
+      "path": "libggml-cuda.so",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "libggml-cuda.so.0",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "libggml-cuda.so.0.13.1",
+      "bytes": 62723160,
+      "sha256": "8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a"
+    },
+    {
+      "path": "libggml.so",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "libggml.so.0",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "libggml.so.0.13.1",
+      "bytes": 55184,
+      "sha256": "71d4cb8f02f9625b7f145db5616d117dc0a77e1178d861908b2184a4188808b8"
+    },
+    {
+      "path": "libllama-common.so",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "libllama-common.so.0",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "libllama-common.so.0.0.1",
+      "bytes": 5858088,
+      "sha256": "bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba"
+    },
+    {
+      "path": "libllama-completion-impl.so",
+      "bytes": 118672,
+      "sha256": "a2805c9a53ec1f3929b47104bf7c6df51c1504913241262fd247cd2b0fc88f72"
+    },
+    {
+      "path": "libllama.so",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "libllama.so.0",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "libllama.so.0.0.1",
+      "bytes": 3734568,
+      "sha256": "c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7"
+    },
+    {
+      "path": "llama-completion",
+      "bytes": 15968,
+      "sha256": "b068163fe18c709ecd06cafe47d21e478854ad2a270343ab5e9f2dcece66ea3a"
+    },
+    {
+      "path": "llama-tokenize",
+      "bytes": 31832,
+      "sha256": "ae0355324a0e7090f76b08b9074f2e074904569afd153ba00056c4f6ea70076b"
+    },
+    {
+      "path": "test-q1-lora-dataset",
+      "bytes": 154792,
+      "sha256": "a7599fcd50d0868683c4a07d70fb19883276bc79bb78edc69844266fb4ffa0e0"
+    },
+    {
+      "path": "test-q1-lora-multitarget",
+      "bytes": 317280,
+      "sha256": "6ae570c8e413f47eabc88a2f7e7e9c4cd5e73b489f4bedc3ced0ebbaef088132"
+    },
+    {
+      "path": "test-q1-lora-roundtrip",
+      "bytes": 33680,
+      "sha256": "4f741f52f9b3b035ada892f0b88fe811d01783bb04189b38eebb43790290b935"
+    },
+    {
+      "path": "test-q1-lora-step10",
+      "bytes": 167376,
+      "sha256": "07d0cf5996bbcd58cccc903d888fe6ed3ffe978ee0fd2c999247a8cad8b7dfe8"
+    },
+    {
+      "path": "test-q1-lora-step11",
+      "bytes": 135344,
+      "sha256": "d10511d5b02defde5dcd7181c0984279528242334fe379866a419a99a5d7cc45"
+    }
+  ]
+}

binaries/linux-colab-cuda/libggml-base.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca
+size 914792

binaries/linux-colab-cuda/libggml-base.so.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca
+size 914792

binaries/linux-colab-cuda/libggml-base.so.0.13.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e665b3ea7cb931c9a41b42f2526c975524f5fc873be412f6d5066a91e3e7dca
+size 914792

binaries/linux-colab-cuda/libggml-cpu.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173
+size 1299840

binaries/linux-colab-cuda/libggml-cpu.so.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173
+size 1299840

binaries/linux-colab-cuda/libggml-cpu.so.0.13.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40c6014e9a489ec98bc81e3effe7dadbf3828a8be289b5d75ff72f70e3978173
+size 1299840

binaries/linux-colab-cuda/libggml-cuda.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a
+size 62723160

binaries/linux-colab-cuda/libggml-cuda.so.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a
+size 62723160

binaries/linux-colab-cuda/libggml-cuda.so.0.13.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8236dd59bafaa85f5b0e2ffc7de87705125e661d97ee177a0affec606f49ac8a
+size 62723160

binaries/linux-colab-cuda/libllama-common.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba
+size 5858088

binaries/linux-colab-cuda/libllama-common.so.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba
+size 5858088

binaries/linux-colab-cuda/libllama-common.so.0.0.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc24bbeb88c2d32ebdbb599e937670739f084e2b16529074228462a05cdf17ba
+size 5858088

binaries/linux-colab-cuda/libllama-completion-impl.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2805c9a53ec1f3929b47104bf7c6df51c1504913241262fd247cd2b0fc88f72
+size 118672

binaries/linux-colab-cuda/libllama.so

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7
+size 3734568

binaries/linux-colab-cuda/libllama.so.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7
+size 3734568

binaries/linux-colab-cuda/libllama.so.0.0.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9d11edc450fcaad5e47ea2b3fb7149a4ab78524033cf01cdf56883e7779bbc7
+size 3734568

binaries/linux-colab-cuda/test-q1-lora-dataset

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7599fcd50d0868683c4a07d70fb19883276bc79bb78edc69844266fb4ffa0e0
+size 154792

binaries/linux-colab-cuda/test-q1-lora-multitarget

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ae570c8e413f47eabc88a2f7e7e9c4cd5e73b489f4bedc3ced0ebbaef088132
+size 317280

binaries/linux-colab-cuda/test-q1-lora-step10

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07d0cf5996bbcd58cccc903d888fe6ed3ffe978ee0fd2c999247a8cad8b7dfe8
+size 167376

binaries/linux-colab-cuda/test-q1-lora-step11

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d10511d5b02defde5dcd7181c0984279528242334fe379866a419a99a5d7cc45
+size 135344

checkpoints/checkpoint_latest.p10ck

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ba5545af5c33aacd7c1d2b395afe0e53e4fac5f1fd07ea56353c5a0c9fa64b9
+size 2167005

checkpoints/quick_resume_checkpoint.p10ck

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c8e9b000eac8fa3ca60883b76f6a6c2ffe6126d97b3c861dfef70dcc4e3080c
+size 2166644

clean_repro_logs/01_worktree_add.log

@@ -0,0 +1,6 @@
+COMMAND:
+["git", "-C", "/content/Prism-llama.cpp", "worktree", "add", "--detach", "/content/prism_native_q1_lora/step13_release/clean_repro_worktree", "7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f"]
+
+OUTPUT:
+Preparing worktree (detached HEAD 7529fda)
+HEAD is now at 7529fda force qwen35 to treat IGPU like a GPU so DSpark does not fall back to CPU (#88)

clean_repro_logs/02_patch_apply.log

@@ -0,0 +1,4 @@
+COMMAND:
+["git", "-C", "/content/prism_native_q1_lora/step13_release/clean_repro_worktree", "apply", "--whitespace=nowarn", "/content/prism_native_q1_lora/step13_release/Bonsai-27B-Q1-Native-LoRA-Release/source/prism_native_q1_lora.patch"]
+
+OUTPUT:

clean_repro_logs/03_clean_status.txt

@@ -0,0 +1,27 @@
+ M ggml/include/ggml-opt.h
+ M ggml/src/ggml-cpu/ops.cpp
+ M ggml/src/ggml-cuda/ggml-cuda.cu
+ M ggml/src/ggml-cuda/out-prod.cu
+ M ggml/src/ggml-cuda/unary.cu
+ M ggml/src/ggml-opt.cpp
+ M ggml/src/ggml.c
+ M include/llama.h
+ M src/llama-adapter.cpp
+ M src/llama-context.cpp
+ M src/llama-context.h
+ M src/llama-graph.cpp
+ M src/models/delta-net-base.cpp
+ M src/models/qwen35.cpp
+ M tests/CMakeLists.txt
+ M tests/test-backend-ops.cpp
+?? ggml/src/ggml-cuda/mulmat-q1-f32.cu
+?? ggml/src/ggml-cuda/mulmat-q1-f32.cuh
+?? tests/test-bonsai-q1-lora-layers.cpp
+?? tests/test-q1-lora-dataset.cpp
+?? tests/test-q1-lora-full-backward.cpp
+?? tests/test-q1-lora-loader-blocks.cpp
+?? tests/test-q1-lora-multitarget.cpp
+?? tests/test-q1-lora-opt.cpp
+?? tests/test-q1-lora-roundtrip.cpp
+?? tests/test-q1-lora-step10.cpp
+?? tests/test-q1-lora-step11.cpp

clean_repro_logs/04_cmake_configure.log

@@ -0,0 +1,54 @@
+COMMAND:
+["cmake", "-S", "/content/prism_native_q1_lora/step13_release/clean_repro_worktree", "-B", "/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13", "-G", "Ninja", "-DGGML_CUDA=ON", "-DCMAKE_BUILD_TYPE=Release", "-DCMAKE_CUDA_ARCHITECTURES=89", "-DCMAKE_C_COMPILER=gcc-11", "-DCMAKE_CXX_COMPILER=g++-11"]
+
+OUTPUT:
+-- The C compiler identification is GNU 11.4.0
+-- The CXX compiler identification is GNU 11.4.0
+-- Detecting C compiler ABI info
+-- Detecting C compiler ABI info - done
+-- Check for working C compiler: /usr/bin/gcc-11 - skipped
+-- Detecting C compile features
+-- Detecting C compile features - done
+-- Detecting CXX compiler ABI info
+-- Detecting CXX compiler ABI info - done
+-- Check for working CXX compiler: /usr/bin/g++-11 - skipped
+-- Detecting CXX compile features
+-- Detecting CXX compile features - done
+CMAKE_BUILD_TYPE=Release
+-- Found Git: /usr/bin/git (found version "2.34.1")
+-- The ASM compiler identification is GNU
+-- Found assembler: /usr/bin/gcc-11
+-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
+-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
+-- Found Threads: TRUE
+-- ccache found, compilation results will be cached. Disable with GGML_CCACHE=OFF.
+-- CMAKE_SYSTEM_PROCESSOR: x86_64
+-- GGML_SYSTEM_ARCH: x86
+-- Found OpenMP_C: -fopenmp (found version "4.5")
+-- Found OpenMP_CXX: -fopenmp (found version "4.5")
+-- Found OpenMP: TRUE (found version "4.5")
+-- Including CPU backend
+-- x86 detected
+-- Adding CPU backend variant ggml-cpu: -march=native 
+-- Found CUDAToolkit: /usr/local/cuda/targets/x86_64-linux/include (found version "12.8.93")
+-- CUDA Toolkit found
+-- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler GNU 11.4.0
+-- Detecting CUDA compiler ABI info
+-- Detecting CUDA compiler ABI info - done
+-- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped
+-- Detecting CUDA compile features
+-- Detecting CUDA compile features - done
+-- Using CMAKE_CUDA_ARCHITECTURES=89 CMAKE_CUDA_ARCHITECTURES_NATIVE=89-real
+-- Found NCCL: /usr/lib/x86_64-linux-gnu/libnccl.so
+-- CUDA host compiler is GNU 11.4.0
+-- Including CUDA backend
+-- ggml version: 0.13.1
+-- ggml commit:  7529fda-dirty
+-- Found OpenSSL: /usr/lib/x86_64-linux-gnu/libcrypto.so (found version "3.0.2")
+-- Performing Test OPENSSL_VERSION_SUPPORTED
+-- Performing Test OPENSSL_VERSION_SUPPORTED - Success
+-- OpenSSL found: 3.0.2
+-- Generating embedded license file for target: llama-app
+-- Configuring done (5.5s)
+-- Generating done (0.3s)
+-- Build files have been written to: /content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13

clean_repro_logs/05_cmake_build.log

@@ -0,0 +1,427 @@
+COMMAND:
+["cmake", "--build", "/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13", "--target", "test-q1-lora-multitarget", "test-q1-lora-dataset", "test-q1-lora-step10", "test-q1-lora-step11", "test-q1-lora-roundtrip", "llama-completion", "llama-tokenize", "-j", "2"]
+
+OUTPUT:
+[1/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml.cpp.o
+[2/395] Building C object ggml/src/CMakeFiles/ggml-base.dir/ggml-alloc.c.o
+[3/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-backend.cpp.o
+[4/395] Building C object ggml/src/CMakeFiles/ggml-base.dir/ggml.c.o
+[5/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-opt.cpp.o
+[6/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-threading.cpp.o
+[7/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/ggml-backend-meta.cpp.o
+[8/395] Building CXX object ggml/src/CMakeFiles/ggml-base.dir/gguf.cpp.o
+[9/395] Building C object ggml/src/CMakeFiles/ggml-base.dir/ggml-quants.c.o
+[10/395] Linking CXX shared library bin/libggml-base.so.0.13.1
+[11/395] Creating library symlink bin/libggml-base.so.0 bin/libggml-base.so
+[12/395] Building CXX object ggml/src/CMakeFiles/ggml.dir/ggml-backend-dl.cpp.o
+[13/395] Building C object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.c.o
+[14/395] Building CXX object ggml/src/CMakeFiles/ggml.dir/ggml-backend-reg.cpp.o
+[15/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ggml-cpu.cpp.o
+[16/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/hbm.cpp.o
+[17/395] Building C object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/quants.c.o
+[18/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/traits.cpp.o
+[19/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/amx/amx.cpp.o
+[20/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/amx/mmq.cpp.o
+[21/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/repack.cpp.o
+[22/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/binary-ops.cpp.o
+[23/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/vec.cpp.o
+[24/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/unary-ops.cpp.o
+[25/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/llamafile/sgemm.cpp.o
+[26/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/ops.cpp.o
+[27/395] Building C object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/arch/x86/quants.c.o
+[28/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/acc.cu.o
+[29/395] Building CXX object ggml/src/CMakeFiles/ggml-cpu.dir/ggml-cpu/arch/x86/repack.cpp.o
+[30/395] Linking CXX shared library bin/libggml-cpu.so.0.13.1
+[31/395] Creating library symlink bin/libggml-cpu.so.0 bin/libggml-cpu.so
+[32/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/add-id.cu.o
+[33/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/allreduce.cu.o
+[34/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/arange.cu.o
+[35/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/argmax.cu.o
+[36/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/binbcast.cu.o
+[37/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/clamp.cu.o
+[38/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/concat.cu.o
+[39/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/conv-transpose-1d.cu.o
+[40/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/conv2d-dw.cu.o
+[41/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/argsort.cu.o
+[42/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/conv2d-transpose.cu.o
+[43/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/conv2d.cu.o
+[44/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/convert.cu.o
+[45/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/count-equal.cu.o
+[46/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/cross-entropy-loss.cu.o
+[47/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/cpy.cu.o
+[48/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/diag.cu.o
+[49/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/cumsum.cu.o
+[50/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/diagmask.cu.o
+[51/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/fattn-tile.cu.o
+[52/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/fattn-wmma-f16.cu.o
+[53/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/fill.cu.o
+[54/395] Building CXX object src/CMakeFiles/llama.dir/llama-kv-cache-dsa.cpp.o
+[55/395] Building CXX object src/CMakeFiles/llama.dir/llama-memory.cpp.o
+[56/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/fwht.cu.o
+[57/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/gated_delta_net.cu.o
+[58/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/fattn.cu.o
+[59/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/getrows.cu.o
+[60/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/ggml-cuda.cu.o
+[61/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/gla.cu.o
+[62/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/im2col.cu.o
+[63/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmf.cu.o
+[64/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mean.cu.o
+[65/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmid.cu.o
+[66/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmq-hopper-q1.cu.o
+[67/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmvf.cu.o
+[68/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmq.cu.o
+[69/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mulmat-q1-f32.cu.o
+[70/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/norm.cu.o
+[71/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/opt-step-adamw.cu.o
+[72/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/opt-step-sgd.cu.o
+[73/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/out-prod.cu.o
+[74/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/pad.cu.o
+[75/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/pad_reflect_1d.cu.o
+[76/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/mmvq.cu.o
+[77/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/pool2d.cu.o
+[78/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/quantize.cu.o
+[79/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/roll.cu.o
+[80/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/rope.cu.o
+[81/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/scale.cu.o
+[82/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/set.cu.o
+[83/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/set-rows.cu.o
+[84/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/snake.cu.o
+[85/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/softcap.cu.o
+[86/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/softmax.cu.o
+[87/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/solve_tri.cu.o
+[88/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/ssm-conv.cu.o
+[89/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/ssm-scan.cu.o
+[90/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/sum.cu.o
+[91/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/sumrows.cu.o
+[92/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/top-k.cu.o
+[93/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/topk-moe.cu.o
+[94/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/tri.cu.o
+[95/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/tsembd.cu.o
+[96/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/upscale.cu.o
+[97/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/unary.cu.o
+[98/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/wkv.cu.o
+[99/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq112-dv112.cu.o
+[100/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq128-dv128.cu.o
+[101/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq192-dv128.cu.o
+[102/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq320-dv256.cu.o
+[103/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq40-dv40.cu.o
+[104/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq512-dv512.cu.o
+[105/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq256-dv256.cu.o
+[106/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq576-dv512.cu.o
+[107/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq64-dv64.cu.o
+[108/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq72-dv72.cu.o
+[109/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq80-dv80.cu.o
+[110/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_16.cu.o
+[111/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-tile-instance-dkq96-dv96.cu.o
+[112/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_32.cu.o
+[113/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_1-ncols2_8.cu.o
+[114/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_1.cu.o
+[115/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_2.cu.o
+[116/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_16.cu.o
+[117/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_32.cu.o
+[118/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_16-ncols2_4.cu.o
+[119/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_4.cu.o
+[120/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_2-ncols2_8.cu.o
+[121/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_32-ncols2_2.cu.o
+[122/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_32-ncols2_1.cu.o
+[123/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_16.cu.o
+[124/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_2.cu.o
+[125/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_4.cu.o
+[126/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_4-ncols2_8.cu.o
+[127/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_64-ncols2_1.cu.o
+[128/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_1.cu.o
+[129/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_2.cu.o
+[130/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_4.cu.o
+[131/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-mma-f16-instance-ncols1_8-ncols2_8.cu.o
+[132/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq1_s.cu.o
+[133/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq2_s.cu.o
+[134/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq2_xs.cu.o
+[135/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq2_xxs.cu.o
+[136/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq3_s.cu.o
+[137/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq3_xxs.cu.o
+[138/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq4_nl.cu.o
+[139/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-iq4_xs.cu.o
+[140/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-mxfp4.cu.o
+[141/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-nvfp4.cu.o
+[142/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q1_0.cu.o
+[143/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q2_0.cu.o
+[144/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q3_k.cu.o
+[145/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q2_k.cu.o
+[146/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/string.cpp.o
+[147/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q4_0.cu.o
+[148/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q4_1.cu.o
+[149/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q4_k.cu.o
+[150/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q5_0.cu.o
+[151/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q5_1.cu.o
+[152/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q5_k.cu.o
+[153/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q8_0.cu.o
+[154/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmq-instance-q6_k.cu.o
+[155/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_1.cu.o
+[156/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_10.cu.o
+[157/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_11.cu.o
+[158/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_12.cu.o
+[159/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_13.cu.o
+[160/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_14.cu.o
+[161/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_15.cu.o
+[162/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_16.cu.o
+[163/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_2.cu.o
+[164/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_3.cu.o
+[165/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_4.cu.o
+[166/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_5.cu.o
+[167/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_6.cu.o
+[168/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_7.cu.o
+[169/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_8.cu.o
+[170/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-vec-instance-f16-f16.cu.o
+[171/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/mmf-instance-ncols_9.cu.o
+[172/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-vec-instance-q4_0-q4_0.cu.o
+[173/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-vec-instance-q8_0-q8_0.cu.o
+[174/395] Building CXX object src/CMakeFiles/llama.dir/llama.cpp.o
+[175/395] Building CXX object src/CMakeFiles/llama.dir/llama-adapter.cpp.o
+[176/395] Building CXX object src/CMakeFiles/llama.dir/llama-arch.cpp.o
+[177/395] Building CXX object src/CMakeFiles/llama.dir/llama-batch.cpp.o
+[178/395] Building CXX object src/CMakeFiles/llama.dir/llama-chat.cpp.o
+[179/395] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/template-instances/fattn-vec-instance-bf16-bf16.cu.o
+[180/395] Linking CUDA shared library bin/libggml-cuda.so.0.13.1
+[181/395] Creating library symlink bin/libggml-cuda.so.0 bin/libggml-cuda.so
+[182/395] Linking CXX shared library bin/libggml.so.0.13.1
+[183/395] Creating library symlink bin/libggml.so.0 bin/libggml.so
+[184/395] Building CXX object src/CMakeFiles/llama.dir/llama-cparams.cpp.o
+[185/395] Building CXX object src/CMakeFiles/llama.dir/llama-context.cpp.o
+[186/395] Building CXX object src/CMakeFiles/llama.dir/llama-grammar.cpp.o
+[187/395] Building CXX object src/CMakeFiles/llama.dir/llama-hparams.cpp.o
+[188/395] Building CXX object src/CMakeFiles/llama.dir/llama-impl.cpp.o
+[189/395] Building CXX object src/CMakeFiles/llama.dir/llama-io.cpp.o
+[190/395] Building CXX object src/CMakeFiles/llama.dir/llama-graph.cpp.o
+[191/395] Building CXX object src/CMakeFiles/llama.dir/llama-kv-cache-iswa.cpp.o
+[192/395] Building CXX object src/CMakeFiles/llama.dir/llama-memory-hybrid.cpp.o
+[193/395] Building CXX object src/CMakeFiles/llama.dir/llama-memory-hybrid-iswa.cpp.o
+[194/395] Building CXX object src/CMakeFiles/llama.dir/llama-kv-cache.cpp.o
+[195/395] Building CXX object src/CMakeFiles/llama.dir/llama-mmap.cpp.o
+[196/395] Building CXX object src/CMakeFiles/llama.dir/llama-memory-recurrent.cpp.o
+[197/395] Building CXX object src/CMakeFiles/llama.dir/llama-model-saver.cpp.o
+[198/395] Building CXX object src/CMakeFiles/llama.dir/llama-model-loader.cpp.o
+[199/395] Building CXX object src/CMakeFiles/llama.dir/llama-model.cpp.o
+[200/395] Building CXX object src/CMakeFiles/llama.dir/llama-quant.cpp.o
+[201/395] Building CXX object src/CMakeFiles/llama.dir/llama-sampler.cpp.o
+[202/395] Building CXX object src/CMakeFiles/llama.dir/unicode-data.cpp.o
+[203/395] Building CXX object src/CMakeFiles/llama.dir/llama-vocab.cpp.o
+[204/395] Building CXX object src/CMakeFiles/llama.dir/models/afmoe.cpp.o
+[205/395] Building CXX object src/CMakeFiles/llama.dir/models/apertus.cpp.o
+[206/395] Building CXX object src/CMakeFiles/llama.dir/models/arcee.cpp.o
+[207/395] Building CXX object src/CMakeFiles/llama.dir/models/arctic.cpp.o
+[208/395] Building CXX object src/CMakeFiles/llama.dir/models/arwkv7.cpp.o
+[209/395] Building CXX object src/CMakeFiles/llama.dir/models/baichuan.cpp.o
+[210/395] Building CXX object src/CMakeFiles/llama.dir/unicode.cpp.o
+[211/395] Building CXX object src/CMakeFiles/llama.dir/models/bailingmoe.cpp.o
+[212/395] Building CXX object src/CMakeFiles/llama.dir/models/bailingmoe2.cpp.o
+[213/395] Building CXX object src/CMakeFiles/llama.dir/models/bert.cpp.o
+[214/395] Building CXX object src/CMakeFiles/llama.dir/models/bitnet.cpp.o
+[215/395] Building CXX object src/CMakeFiles/llama.dir/models/bloom.cpp.o
+[216/395] Building CXX object src/CMakeFiles/llama.dir/models/chameleon.cpp.o
+[217/395] Building CXX object src/CMakeFiles/llama.dir/models/chatglm.cpp.o
+[218/395] Building CXX object src/CMakeFiles/llama.dir/models/codeshell.cpp.o
+[219/395] Building CXX object src/CMakeFiles/llama.dir/models/cogvlm.cpp.o
+[220/395] Building CXX object src/CMakeFiles/llama.dir/models/cohere2.cpp.o
+[221/395] Building CXX object src/CMakeFiles/llama.dir/models/command-r.cpp.o
+[222/395] Building CXX object src/CMakeFiles/llama.dir/models/dbrx.cpp.o
+[223/395] Building CXX object src/CMakeFiles/llama.dir/models/deci.cpp.o
+[224/395] Building CXX object src/CMakeFiles/llama.dir/models/deepseek.cpp.o
+[225/395] Building CXX object src/CMakeFiles/llama.dir/models/deepseek2.cpp.o
+[226/395] Building CXX object src/CMakeFiles/llama.dir/models/deepseek2ocr.cpp.o
+[227/395] Building CXX object src/CMakeFiles/llama.dir/models/deepseek32.cpp.o
+[228/395] Building CXX object src/CMakeFiles/llama.dir/models/delta-net-base.cpp.o
+[229/395] Building CXX object src/CMakeFiles/llama.dir/models/dots1.cpp.o
+[230/395] Building CXX object src/CMakeFiles/llama.dir/models/dream.cpp.o
+[231/395] Building CXX object src/CMakeFiles/llama.dir/models/dspark.cpp.o
+[232/395] Building CXX object src/CMakeFiles/llama.dir/models/ernie4-5-moe.cpp.o
+[233/395] Building CXX object src/CMakeFiles/llama.dir/models/ernie4-5.cpp.o
+[234/395] Building CXX object src/CMakeFiles/llama.dir/models/eurobert.cpp.o
+[235/395] Building CXX object src/CMakeFiles/llama.dir/models/exaone-moe.cpp.o
+[236/395] Building CXX object src/CMakeFiles/llama.dir/models/exaone.cpp.o
+[237/395] Building CXX object src/CMakeFiles/llama.dir/models/exaone4.cpp.o
+[238/395] Building CXX object src/CMakeFiles/llama.dir/models/falcon-h1.cpp.o
+[239/395] Building CXX object src/CMakeFiles/llama.dir/models/falcon.cpp.o
+[240/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma-embedding.cpp.o
+[241/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma.cpp.o
+[242/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma2.cpp.o
+[243/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma3.cpp.o
+[244/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma3n.cpp.o
+[245/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma4-assistant.cpp.o
+[246/395] Building CXX object src/CMakeFiles/llama.dir/models/gemma4.cpp.o
+[247/395] Building CXX object src/CMakeFiles/llama.dir/models/glm-dsa.cpp.o
+[248/395] Building CXX object src/CMakeFiles/llama.dir/models/glm4-moe.cpp.o
+[249/395] Building CXX object src/CMakeFiles/llama.dir/models/glm4.cpp.o
+[250/395] Building CXX object src/CMakeFiles/llama.dir/models/gpt2.cpp.o
+[251/395] Building CXX object src/CMakeFiles/llama.dir/models/gptneox.cpp.o
+[252/395] Building CXX object src/CMakeFiles/llama.dir/models/granite-hybrid.cpp.o
+[253/395] Building CXX object src/CMakeFiles/llama.dir/models/granite-moe.cpp.o
+[254/395] Building CXX object src/CMakeFiles/llama.dir/models/granite.cpp.o
+[255/395] Building CXX object src/CMakeFiles/llama.dir/models/grok.cpp.o
+[256/395] Building CXX object src/CMakeFiles/llama.dir/models/grovemoe.cpp.o
+[257/395] Building CXX object src/CMakeFiles/llama.dir/models/hunyuan-dense.cpp.o
+[258/395] Building CXX object src/CMakeFiles/llama.dir/models/hunyuan-moe.cpp.o
+[259/395] Building CXX object src/CMakeFiles/llama.dir/models/hunyuan-vl.cpp.o
+[260/395] Building CXX object src/CMakeFiles/llama.dir/models/internlm2.cpp.o
+[261/395] Building CXX object src/CMakeFiles/llama.dir/models/jais.cpp.o
+[262/395] Building CXX object src/CMakeFiles/llama.dir/models/jais2.cpp.o
+[263/395] Building CXX object src/CMakeFiles/llama.dir/models/jamba.cpp.o
+[264/395] Building CXX object src/CMakeFiles/llama.dir/models/jina-bert-v2.cpp.o
+[265/395] Building CXX object src/CMakeFiles/llama.dir/models/jina-bert-v3.cpp.o
+[266/395] Building CXX object src/CMakeFiles/llama.dir/models/kimi-linear.cpp.o
+[267/395] Building CXX object src/CMakeFiles/llama.dir/models/lfm2.cpp.o
+[268/395] Building CXX object src/CMakeFiles/llama.dir/models/lfm2moe.cpp.o
+[269/395] Building CXX object src/CMakeFiles/llama.dir/models/llada-moe.cpp.o
+[270/395] Building CXX object src/CMakeFiles/llama.dir/models/llada.cpp.o
+[271/395] Building CXX object src/CMakeFiles/llama.dir/models/llama-embed.cpp.o
+[272/395] Building CXX object src/CMakeFiles/llama.dir/models/llama.cpp.o
+[273/395] Building CXX object src/CMakeFiles/llama.dir/models/llama4.cpp.o
+[274/395] Building CXX object src/CMakeFiles/llama.dir/models/maincoder.cpp.o
+[275/395] Building CXX object src/CMakeFiles/llama.dir/models/mamba-base.cpp.o
+[276/395] Building CXX object src/CMakeFiles/llama.dir/models/mamba.cpp.o
+[277/395] Building CXX object src/CMakeFiles/llama.dir/models/mamba2.cpp.o
+[278/395] Building CXX object src/CMakeFiles/llama.dir/models/mellum.cpp.o
+[279/395] Building CXX object src/CMakeFiles/llama.dir/models/mimo2.cpp.o
+[280/395] Building CXX object src/CMakeFiles/llama.dir/models/minicpm.cpp.o
+[281/395] Building CXX object src/CMakeFiles/llama.dir/models/minicpm3.cpp.o
+[282/395] Building CXX object src/CMakeFiles/llama.dir/models/minimax-m2.cpp.o
+[283/395] Building CXX object src/CMakeFiles/llama.dir/models/mistral3.cpp.o
+[284/395] Building CXX object src/CMakeFiles/llama.dir/models/mistral4.cpp.o
+[285/395] Building CXX object src/CMakeFiles/llama.dir/models/modern-bert.cpp.o
+[286/395] Building CXX object src/CMakeFiles/llama.dir/models/mpt.cpp.o
+[287/395] Building CXX object src/CMakeFiles/llama.dir/models/nemotron-h-moe.cpp.o
+[288/395] Building CXX object src/CMakeFiles/llama.dir/models/nemotron-h.cpp.o
+[289/395] Building CXX object src/CMakeFiles/llama.dir/models/nemotron.cpp.o
+[290/395] Building CXX object src/CMakeFiles/llama.dir/models/neo-bert.cpp.o
+[291/395] Building CXX object src/CMakeFiles/llama.dir/models/nomic-bert-moe.cpp.o
+[292/395] Building CXX object src/CMakeFiles/llama.dir/models/nomic-bert.cpp.o
+[293/395] Building CXX object src/CMakeFiles/llama.dir/models/olmo.cpp.o
+[294/395] Building CXX object src/CMakeFiles/llama.dir/models/olmo2.cpp.o
+[295/395] Building CXX object src/CMakeFiles/llama.dir/models/olmoe.cpp.o
+[296/395] Building CXX object src/CMakeFiles/llama.dir/models/openai-moe.cpp.o
+[297/395] Building CXX object src/CMakeFiles/llama.dir/models/openelm.cpp.o
+[298/395] Building CXX object src/CMakeFiles/llama.dir/models/orion.cpp.o
+[299/395] Building CXX object src/CMakeFiles/llama.dir/models/paddleocr.cpp.o
+[300/395] Building CXX object src/CMakeFiles/llama.dir/models/pangu-embed.cpp.o
+[301/395] Building CXX object src/CMakeFiles/llama.dir/models/phi2.cpp.o
+[302/395] Building CXX object src/CMakeFiles/llama.dir/models/phi3.cpp.o
+[303/395] Building CXX object src/CMakeFiles/llama.dir/models/phimoe.cpp.o
+[304/395] Building CXX object src/CMakeFiles/llama.dir/models/plamo.cpp.o
+[305/395] Building CXX object src/CMakeFiles/llama.dir/models/plamo2.cpp.o
+[306/395] Building CXX object src/CMakeFiles/llama.dir/models/plamo3.cpp.o
+[307/395] Building CXX object src/CMakeFiles/llama.dir/models/plm.cpp.o
+[308/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen.cpp.o
+[309/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen2.cpp.o
+[310/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen2moe.cpp.o
+[311/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen2vl.cpp.o
+[312/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen3.cpp.o
+[313/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen35.cpp.o
+[314/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen35moe.cpp.o
+[315/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen3moe.cpp.o
+[316/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen3next.cpp.o
+[317/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen3vl.cpp.o
+[318/395] Building CXX object src/CMakeFiles/llama.dir/models/qwen3vlmoe.cpp.o
+[319/395] Building CXX object src/CMakeFiles/llama.dir/models/refact.cpp.o
+[320/395] Building CXX object src/CMakeFiles/llama.dir/models/rnd1.cpp.o
+[321/395] Building CXX object src/CMakeFiles/llama.dir/models/rwkv6-base.cpp.o
+[322/395] Building CXX object src/CMakeFiles/llama.dir/models/rwkv6.cpp.o
+[323/395] Building CXX object src/CMakeFiles/llama.dir/models/rwkv6qwen2.cpp.o
+[324/395] Building CXX object src/CMakeFiles/llama.dir/models/rwkv7-base.cpp.o
+[325/395] Building CXX object src/CMakeFiles/llama.dir/models/rwkv7.cpp.o
+[326/395] Building CXX object src/CMakeFiles/llama.dir/models/seed-oss.cpp.o
+[327/395] Building CXX object src/CMakeFiles/llama.dir/models/smallthinker.cpp.o
+[328/395] Building CXX object src/CMakeFiles/llama.dir/models/smollm3.cpp.o
+[329/395] Building CXX object src/CMakeFiles/llama.dir/models/stablelm.cpp.o
+[330/395] Building CXX object src/CMakeFiles/llama.dir/models/starcoder.cpp.o
+[331/395] Building CXX object src/CMakeFiles/llama.dir/models/starcoder2.cpp.o
+[332/395] Building CXX object src/CMakeFiles/llama.dir/models/t5.cpp.o
+[333/395] Building CXX object src/CMakeFiles/llama.dir/models/step35.cpp.o
+[334/395] Building CXX object src/CMakeFiles/llama.dir/models/t5encoder.cpp.o
+[335/395] Building CXX object src/CMakeFiles/llama.dir/models/talkie.cpp.o
+[336/395] Building CXX object src/CMakeFiles/llama.dir/models/wavtokenizer-dec.cpp.o
+[337/395] Building CXX object src/CMakeFiles/llama.dir/models/xverse.cpp.o
+[338/395] Building CXX object common/CMakeFiles/llama-common.dir/imatrix-loader.cpp.o
+[339/395] Building CXX object common/CMakeFiles/llama-common.dir/fit.cpp.o
+[340/395] Linking CXX shared library bin/libllama.so.0.0.1
+[341/395] Creating library symlink bin/libllama.so.0 bin/libllama.so
+[342/395] Building CXX object common/CMakeFiles/llama-common-base.dir/build-info.cpp.o
+[343/395] Linking CXX static library common/libllama-common-base.a
+[344/395] Building CXX object common/CMakeFiles/llama-common.dir/hf-cache.cpp.o
+[345/395] Building CXX object common/CMakeFiles/llama-common.dir/chat-auto-parser-generator.cpp.o
+[346/395] Building CXX object common/CMakeFiles/llama-common.dir/chat-auto-parser-helpers.cpp.o
+[347/395] Building CXX object common/CMakeFiles/llama-common.dir/arg.cpp.o
+[348/395] Building CXX object common/CMakeFiles/llama-common.dir/chat-diff-analyzer.cpp.o
+[349/395] Building CXX object common/CMakeFiles/llama-common.dir/chat-peg-parser.cpp.o
+[350/395] Building CXX object common/CMakeFiles/llama-common.dir/common.cpp.o
+[351/395] Building CXX object common/CMakeFiles/llama-common.dir/console.cpp.o
+[352/395] Building CXX object common/CMakeFiles/llama-common.dir/chat.cpp.o
+[353/395] Building CXX object common/CMakeFiles/llama-common.dir/debug.cpp.o
+[354/395] Building CXX object common/CMakeFiles/llama-common.dir/json-partial.cpp.o
+[355/395] Building CXX object common/CMakeFiles/llama-common.dir/download.cpp.o
+[356/395] Building CXX object common/CMakeFiles/llama-common.dir/kv-mean-center.cpp.o
+[357/395] Building CXX object common/CMakeFiles/llama-common.dir/llguidance.cpp.o
+[358/395] Building CXX object common/CMakeFiles/llama-common.dir/log.cpp.o
+[359/395] Building CXX object common/CMakeFiles/llama-common.dir/ngram-cache.cpp.o
+[360/395] Building CXX object common/CMakeFiles/llama-common.dir/ngram-map.cpp.o
+[361/395] Building CXX object common/CMakeFiles/llama-common.dir/ngram-mod.cpp.o
+[362/395] Building CXX object common/CMakeFiles/llama-common.dir/json-schema-to-grammar.cpp.o
+[363/395] Building CXX object common/CMakeFiles/llama-common.dir/preset.cpp.o
+[364/395] Building CXX object common/CMakeFiles/llama-common.dir/regex-partial.cpp.o
+[365/395] Building CXX object common/CMakeFiles/llama-common.dir/reasoning-budget.cpp.o
+[366/395] Building CXX object common/CMakeFiles/llama-common.dir/sampling.cpp.o
+[367/395] Building CXX object common/CMakeFiles/llama-common.dir/peg-parser.cpp.o
+[368/395] Building CXX object common/CMakeFiles/llama-common.dir/unicode.cpp.o
+[369/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/lexer.cpp.o
+[370/395] Building CXX object common/CMakeFiles/llama-common.dir/speculative.cpp.o
+[371/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/parser.cpp.o
+[372/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/runtime.cpp.o
+[373/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/caps.cpp.o
+[374/395] Building CXX object common/CMakeFiles/llama-common.dir/jinja/value.cpp.o
+[375/395] Building CUDA object common/CMakeFiles/llama-common.dir/dspark-markov.cu.o
+[376/395] Building CXX object tests/CMakeFiles/test-q1-lora-multitarget.dir/test-q1-lora-multitarget.cpp.o
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-multitarget.cpp:250:14: warning: no previous declaration for ‘int prism_stage7_full_backward_main(int, char**)’ [-Wmissing-declarations]
+  250 | #define main prism_stage7_full_backward_main
+      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-full-backward.cpp:224:5: note: in expansion of macro ‘main’
+  224 | int main(
+      |     ^~~~
+[377/395] Building CXX object tests/CMakeFiles/test-q1-lora-dataset.dir/test-q1-lora-dataset.cpp.o
+[378/395] Building CXX object tests/CMakeFiles/test-q1-lora-step10.dir/test-q1-lora-step10.cpp.o
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step10.cpp: In function ‘void set_tensor_f32(ggml_tensor*, const std::vector<float>&)’:
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step10.cpp:219:67: warning: comparison of integer expressions of different signedness: ‘std::vector<float>::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
+  219 |     if (!tensor || tensor->type != GGML_TYPE_F32 || values.size() != ggml_nelements(tensor)) {
+      |                                                     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-full-backward.cpp: At global scope:
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step10.cpp:920:14: warning: no previous declaration for ‘int prism_stage7_bootstrap_main(int, char**)’ [-Wmissing-declarations]
+  920 | #define main prism_stage7_bootstrap_main
+      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-full-backward.cpp:224:5: note: in expansion of macro ‘main’
+  224 | int main(
+      |     ^~~~
+[379/395] Building CXX object tests/CMakeFiles/test-q1-lora-step11.dir/test-q1-lora-step11.cpp.o
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step11.cpp: In function ‘void set_tensor_f32(ggml_tensor*, const std::vector<float>&)’:
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step11.cpp:219:67: warning: comparison of integer expressions of different signedness: ‘std::vector<float>::size_type’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare]
+  219 |     if (!tensor || tensor->type != GGML_TYPE_F32 || values.size() != ggml_nelements(tensor)) {
+      |                                                     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-full-backward.cpp: At global scope:
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-step11.cpp:1002:14: warning: no previous declaration for ‘int prism_stage7_bootstrap_main(int, char**)’ [-Wmissing-declarations]
+ 1002 | #define main prism_stage7_bootstrap_main
+      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~
+/content/prism_native_q1_lora/step13_release/clean_repro_worktree/tests/test-q1-lora-full-backward.cpp:224:5: note: in expansion of macro ‘main’
+  224 | int main(
+      |     ^~~~
+[380/395] Building CXX object tests/CMakeFiles/test-q1-lora-roundtrip.dir/test-q1-lora-roundtrip.cpp.o
+[381/395] Linking CXX executable bin/test-q1-lora-roundtrip
+[382/395] Building CXX object vendor/cpp-httplib/CMakeFiles/cpp-httplib.dir/httplib.cpp.o
+[383/395] Linking CXX static library vendor/cpp-httplib/libcpp-httplib.a
+[384/395] Linking CXX shared library bin/libllama-common.so.0.0.1
+[385/395] Creating library symlink bin/libllama-common.so.0 bin/libllama-common.so
+[386/395] Linking CXX executable bin/test-q1-lora-multitarget
+[387/395] Linking CXX executable bin/test-q1-lora-dataset
+[388/395] Linking CXX executable bin/test-q1-lora-step10
+[389/395] Linking CXX executable bin/test-q1-lora-step11
+[390/395] Building CXX object tools/completion/CMakeFiles/llama-completion.dir/main.cpp.o
+[391/395] Building CXX object tools/tokenize/CMakeFiles/llama-tokenize.dir/tokenize.cpp.o
+[392/395] Linking CXX executable bin/llama-tokenize
+[393/395] Building CXX object tools/completion/CMakeFiles/llama-completion-impl.dir/completion.cpp.o
+[394/395] Linking CXX shared library bin/libllama-completion-impl.so
+[395/395] Linking CXX executable bin/llama-completion

clean_repro_logs/06_checkpoint_verify.log

@@ -0,0 +1,10 @@
+COMMAND:
+["/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13/bin/test-q1-lora-step10", "/content/models/Bonsai-27B-Q1/Bonsai-27B-Q1_0.gguf", "/content/prism_native_q1_lora/multi_target_adapter_initial.gguf", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step13_release/clean_verify_output", "verify_checkpoint", "-", "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0", "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d", "1234", "64", "1", "2", "0.0002", "2e-05", "1", "0.001", "0", "/content/prism_native_q1_lora/step10_training_pipeline/artifacts/accepted/checkpoint_latest.p10ck"]
+
+OUTPUT:
+PRISM_STEP10_TRAINING_ENV_READY=1
+VERIFY_ERROR=checkpoint trainer configuration mismatch
+CHECKPOINT_CHECKSUM_MISMATCH=0
+CHECKPOINT_IDENTITY_MATCH=0
+SUBTEST_STATUS=FAIL
+FINAL_STATUS=FAIL

clean_repro_logs/06_checkpoint_verify_original_failure.log

@@ -0,0 +1,10 @@
+COMMAND:
+["/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13/bin/test-q1-lora-step10", "/content/models/Bonsai-27B-Q1/Bonsai-27B-Q1_0.gguf", "/content/prism_native_q1_lora/multi_target_adapter_initial.gguf", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step13_release/clean_verify_output", "verify_checkpoint", "-", "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0", "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d", "1234", "64", "1", "2", "0.0002", "2e-05", "1", "0.001", "0", "/content/prism_native_q1_lora/step10_training_pipeline/artifacts/accepted/checkpoint_latest.p10ck"]
+
+OUTPUT:
+PRISM_STEP10_TRAINING_ENV_READY=1
+VERIFY_ERROR=checkpoint trainer configuration mismatch
+CHECKPOINT_CHECKSUM_MISMATCH=0
+CHECKPOINT_IDENTITY_MATCH=0
+SUBTEST_STATUS=FAIL
+FINAL_STATUS=FAIL

clean_repro_logs/06_checkpoint_verify_preserved.log

@@ -0,0 +1,10 @@
+COMMAND:
+["/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13/bin/test-q1-lora-step10", "/content/models/Bonsai-27B-Q1/Bonsai-27B-Q1_0.gguf", "/content/prism_native_q1_lora/multi_target_adapter_initial.gguf", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step13_release/clean_verify_output", "verify_checkpoint", "-", "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0", "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d", "1234", "64", "1", "2", "0.0002", "2e-05", "1", "0.001", "0", "/content/prism_native_q1_lora/step10_training_pipeline/artifacts/accepted/checkpoint_latest.p10ck"]
+
+OUTPUT:
+PRISM_STEP10_TRAINING_ENV_READY=1
+VERIFY_ERROR=checkpoint trainer configuration mismatch
+CHECKPOINT_CHECKSUM_MISMATCH=0
+CHECKPOINT_IDENTITY_MATCH=0
+SUBTEST_STATUS=FAIL
+FINAL_STATUS=FAIL

clean_repro_logs/06_checkpoint_verify_v1_1_repaired.log

@@ -0,0 +1,10 @@
+COMMAND:
+["/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13/bin/test-q1-lora-step10", "/content/models/Bonsai-27B-Q1/Bonsai-27B-Q1_0.gguf", "/content/prism_native_q1_lora/multi_target_adapter_initial.gguf", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step13_release/clean_verify_output", "verify_checkpoint", "-", "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0", "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d", "1234", "64", "1", "2", "0.0002", "2e-05", "1", "0.001", "0", "/content/prism_native_q1_lora/step10_training_pipeline/artifacts/accepted/checkpoint_latest.p10ck"]
+
+OUTPUT:
+PRISM_STEP10_TRAINING_ENV_READY=1
+VERIFY_ERROR=checkpoint trainer configuration mismatch
+CHECKPOINT_CHECKSUM_MISMATCH=0
+CHECKPOINT_IDENTITY_MATCH=0
+SUBTEST_STATUS=FAIL
+FINAL_STATUS=FAIL

clean_repro_logs/06_checkpoint_verify_v1_1_repaired_preserved.log

@@ -0,0 +1,10 @@
+COMMAND:
+["/content/prism_native_q1_lora/step13_release/clean_repro_worktree/build-step13/bin/test-q1-lora-step10", "/content/models/Bonsai-27B-Q1/Bonsai-27B-Q1_0.gguf", "/content/prism_native_q1_lora/multi_target_adapter_initial.gguf", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step09_dataset_pipeline/artifacts/accepted", "/content/prism_native_q1_lora/step13_release/clean_verify_output", "verify_checkpoint", "-", "17ef842e47450caeb8eaa3ebfbbab5d2f2278b62b79be107985fb69a2f819aa0", "db263935c4c2d4396c8c39b389dcb3dfc2b8f9b02e8b68b33559e550a034973d", "1234", "64", "1", "2", "0.0002", "2e-05", "1", "0.001", "0", "/content/prism_native_q1_lora/step10_training_pipeline/artifacts/accepted/checkpoint_latest.p10ck"]
+
+OUTPUT:
+PRISM_STEP10_TRAINING_ENV_READY=1
+VERIFY_ERROR=checkpoint trainer configuration mismatch
+CHECKPOINT_CHECKSUM_MISMATCH=0
+CHECKPOINT_IDENTITY_MATCH=0
+SUBTEST_STATUS=FAIL
+FINAL_STATUS=FAIL