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NOTICE

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+marvy-14B
+Copyright 2026 MainStack
+
+This product is licensed under the Apache License, Version 2.0 (the "License").
+You may obtain a copy of the License in the accompanying LICENSE file or at:
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+================================================================================
+Attribution
+================================================================================
+
+marvy-14B is a fine-tuned derivative of:
+
+    Qwen2.5-14B-Instruct
+    Copyright Alibaba Cloud / Qwen Team
+    Licensed under the Apache License, Version 2.0
+    https://huggingface.co/Qwen/Qwen2.5-14B-Instruct
+
+The base model weights are the property of their respective authors and are
+used and redistributed in modified (fine-tuned) form under the terms of the
+Apache License, Version 2.0.
+
+Citation for the base model:
+
+    @misc{qwen2.5,
+      title  = {Qwen2.5: A Party of Foundation Models},
+      author = {Qwen Team},
+      year   = {2024},
+      url    = {https://qwenlm.github.io/blog/qwen2.5/}
+    }
+
+    @article{qwen2,
+      title  = {Qwen2 Technical Report},
+      author = {Qwen Team},
+      journal= {arXiv preprint arXiv:2407.10671},
+      year   = {2024}
+    }
+
+================================================================================
+Tooling
+================================================================================
+
+Trained and fused with MLX-LM (https://github.com/ml-explore/mlx-lm),
+Copyright Apple Inc., licensed under the MIT License.
+
+================================================================================
+Training data provenance
+================================================================================
+
+marvy-14B was fine-tuned on a corpus of anonymized ServiceNow delivery
+artifacts. All customer and partner names were replaced with stable aliases,
+and emails, hostnames, IP addresses, and credential-bearing files were removed
+or redacted prior to training. No customer-identifying information is present
+in the training corpus. See the model card for the full redaction methodology.