ndif skills: corrections from the second verification round (shared 8-GPU host) - #13
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… box Both routes passed with Llama-3.1-8B and gemma-3-27b-it over two cards. What the runs surfaced: nothing said how to pin GPUs or that the ledger ignores other tenants (a new "on a GPU box you share" section, with the arithmetic for --gpus N in the operate skill and what --gpus means on the default actor); the Ray temp-dir disk rule was a config-table footnote, now a prerequisite; the 4 MiB result threshold is on compressed bytes; any comprehension or .append(), not just a list one, loses the value; multimodal checkpoints keep the decoder under .language_model; export loses gpus on 0.1.1; the tag table pinned a release number; and one paragraph still said doctor's MinIO hint pointed nowhere. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Tested on gpt2: .save() on the assigned object (the comprehension, an empty list, a dict) or an outer list of saved values all bind; only saving the elements of a container built inside the block does not. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Two fresh-user agents ran the 0.1.1 artifacts on hakone (Docker Hub and PyPI routes) with Llama-3.1-8B on one A100 and gemma-3-27b-it across two. Both passed every step. This folds in what they reported; the matching server-side changes are ndif-team/ndif#290 and #291.
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