81 lines
3.2 KiB
Plaintext
81 lines
3.2 KiB
Plaintext
marvy-1-14B
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Copyright 2026 MainStack
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This product is licensed under the Apache License, Version 2.0 (the "License").
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You may obtain a copy of the License in the accompanying LICENSE file or at:
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http://www.apache.org/licenses/LICENSE-2.0
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================================================================================
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Attribution request (downstream use)
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================================================================================
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marvy-1-14B was created by MainStack (https://huggingface.co/MainStack).
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If you use marvy-1-14B as a baseline, fine-tune it, distill from it, evaluate
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against it, or otherwise build on it, please credit MainStack and link to:
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https://huggingface.co/MainStack/marvy-1-14B
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Under the Apache License, Version 2.0, this NOTICE file MUST be retained and
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reproduced in any derivative works and redistributions (License §4(d)).
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================================================================================
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Dual licensing
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================================================================================
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* Model weights (safetensors / GGUF / LoRA adapter): Apache-2.0 (LICENSE).
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* MainStack original contributions — model cards, documentation, benchmark,
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charts, and curated training methodology: CC-BY-4.0 (LICENSE-CC-BY-4.0).
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Reuse of MainStack's contributions requires attribution to MainStack under the
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terms of CC-BY-4.0. See LICENSING.md for the full breakdown.
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================================================================================
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Attribution
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================================================================================
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marvy-1-14B is a fine-tuned derivative of:
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Qwen2.5-14B-Instruct
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Copyright Alibaba Cloud / Qwen Team
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Licensed under the Apache License, Version 2.0
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https://huggingface.co/Qwen/Qwen2.5-14B-Instruct
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The base model weights are the property of their respective authors and are
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used and redistributed in modified (fine-tuned) form under the terms of the
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Apache License, Version 2.0.
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Citation for the base model:
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@misc{qwen2.5,
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title = {Qwen2.5: A Party of Foundation Models},
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author = {Qwen Team},
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year = {2024},
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url = {https://qwenlm.github.io/blog/qwen2.5/}
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}
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@article{qwen2,
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title = {Qwen2 Technical Report},
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author = {Qwen Team},
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journal= {arXiv preprint arXiv:2407.10671},
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year = {2024}
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}
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================================================================================
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Tooling
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================================================================================
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Trained and fused with MLX-LM (https://github.com/ml-explore/mlx-lm),
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Copyright Apple Inc., licensed under the MIT License.
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================================================================================
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Training data provenance
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================================================================================
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marvy-1-14B was fine-tuned on a corpus of anonymized ServiceNow delivery
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artifacts. All customer and partner names were replaced with stable aliases,
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and emails, hostnames, IP addresses, and credential-bearing files were removed
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or redacted prior to training. No customer-identifying information is present
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in the training corpus. See the model card for the full redaction methodology.
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