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Label the adapter research and demo use; note RACE training-data terms

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  1. README.md +7 -4
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  # Hopper
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  Hopper is a LoRA adapter (rank 16) for
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  [`Qwen/Qwen3.5-4B`](https://huggingface.co/Qwen/Qwen3.5-4B) at revision
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  `851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a`. It is built for the
@@ -51,9 +53,10 @@ question go in, and a probability distribution over a fixed set of options comes
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  HTTP server with the JevBench `/v1/systemone` wire format. At load it merges the adapter into the
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  bf16 weights, and it refuses to start if the fast linear-attention kernels are not active.
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- Code and adapter weights are licensed Apache-2.0. The base model is Apache-2.0
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- ([licence](https://huggingface.co/Qwen/Qwen3.5-4B/blob/main/LICENSE)), and this adapter does not
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- change its terms.
 
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  ## Intended use
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  | --- | --- | --- |
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  | [allenai/ai2_arc](https://huggingface.co/datasets/allenai/ai2_arc) (ARC-Challenge, ARC-Easy) | multiple choice | CC BY-SA 4.0 |
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  | [tau/commonsense_qa](https://huggingface.co/datasets/tau/commonsense_qa) | multiple choice | MIT |
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- | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) (`auxiliary_train`) | multiple choice | MIT (as stated on the dataset card; the auxiliary set collects other public datasets) |
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  | [stanfordnlp/snli](https://huggingface.co/datasets/stanfordnlp/snli) | entailment | CC BY-SA 4.0 |
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  | [nyu-mll/multi_nli](https://huggingface.co/datasets/nyu-mll/multi_nli) | entailment | CC BY 3.0 / CC BY-SA 3.0 / MIT / other, per source genre (see the dataset card) |
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  | [tals/vitaminc](https://huggingface.co/datasets/tals/vitaminc) | fact verification | CC BY-SA 3.0 |
 
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  # Hopper
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+ > **Research and demo use only.** This adapter is published for research and demonstration. Its training data included passages from RACE (via the `cais/mmlu` auxiliary set), which its authors release for non-commercial research only and whose terms extend to derived data. Do not use this adapter commercially. A version trained without these passages is in development.
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+
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  Hopper is a LoRA adapter (rank 16) for
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  [`Qwen/Qwen3.5-4B`](https://huggingface.co/Qwen/Qwen3.5-4B) at revision
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  `851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a`. It is built for the
 
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  HTTP server with the JevBench `/v1/systemone` wire format. At load it merges the adapter into the
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  bf16 weights, and it refuses to start if the fast linear-attention kernels are not active.
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+ The serving code is licensed Apache-2.0. The adapter weights are offered for research and demo use
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+ only, because of the RACE training-data terms described above and under "Training data". The base
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+ model is Apache-2.0 ([licence](https://huggingface.co/Qwen/Qwen3.5-4B/blob/main/LICENSE)), and this
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+ adapter does not change its terms.
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  ## Intended use
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  | --- | --- | --- |
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  | [allenai/ai2_arc](https://huggingface.co/datasets/allenai/ai2_arc) (ARC-Challenge, ARC-Easy) | multiple choice | CC BY-SA 4.0 |
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  | [tau/commonsense_qa](https://huggingface.co/datasets/tau/commonsense_qa) | multiple choice | MIT |
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+ | [cais/mmlu](https://huggingface.co/datasets/cais/mmlu) (`auxiliary_train`) | multiple choice | MIT (as stated on the dataset card), but the auxiliary set bundles other public datasets, including RACE, whose authors release it for non-commercial research only, with terms that extend to derived data |
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  | [stanfordnlp/snli](https://huggingface.co/datasets/stanfordnlp/snli) | entailment | CC BY-SA 4.0 |
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  | [nyu-mll/multi_nli](https://huggingface.co/datasets/nyu-mll/multi_nli) | entailment | CC BY 3.0 / CC BY-SA 3.0 / MIT / other, per source genre (see the dataset card) |
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  | [tals/vitaminc](https://huggingface.co/datasets/tals/vitaminc) | fact verification | CC BY-SA 3.0 |