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Document subject-extraction adapter collection

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  1. ASv6.100.md +286 -0
  2. LICENSE +687 -0
  3. LICENSES/Apache-2.0.txt +202 -0
  4. LICENSES/Qwen-LICENSE +202 -0
  5. NOTICE.md +21 -0
  6. README.md +136 -0
  7. USAGE.md +118 -0
  8. files.sha256 +53 -0
  9. gemma-4-26b-a4b-it/checkpoint-1000/adapter_config.json +234 -0
  10. gemma-4-26b-a4b-it/checkpoint-200/adapter_config.json +234 -0
  11. gemma-4-26b-a4b-it/checkpoint-400/adapter_config.json +234 -0
  12. gemma-4-26b-a4b-it/checkpoint-600/adapter_config.json +234 -0
  13. gemma-4-26b-a4b-it/checkpoint-800/adapter_config.json +234 -0
  14. gemma-4-26b-a4b-it/checkpoints.json +96 -0
  15. gemma-4-26b-a4b-it/evaluation.json +64 -0
  16. gemma-4-26b-a4b-it/model.json +26 -0
  17. gemma-4-26b-a4b-it/training.json +83 -0
  18. gemma-4-31b-it/checkpoint-1000/adapter_config.json +51 -0
  19. gemma-4-31b-it/checkpoint-200/adapter_config.json +51 -0
  20. gemma-4-31b-it/checkpoint-400/adapter_config.json +51 -0
  21. gemma-4-31b-it/checkpoint-600/adapter_config.json +51 -0
  22. gemma-4-31b-it/checkpoint-800/adapter_config.json +51 -0
  23. gemma-4-31b-it/checkpoints.json +96 -0
  24. gemma-4-31b-it/evaluation.json +64 -0
  25. gemma-4-31b-it/model.json +26 -0
  26. gemma-4-31b-it/training.json +83 -0
  27. qwen3.8-27b/checkpoint-1000/adapter_config.json +56 -0
  28. qwen3.8-27b/checkpoint-200/adapter_config.json +56 -0
  29. qwen3.8-27b/checkpoint-2000/adapter_config.json +56 -0
  30. qwen3.8-27b/checkpoint-3000/adapter_config.json +56 -0
  31. qwen3.8-27b/checkpoint-400/adapter_config.json +56 -0
  32. qwen3.8-27b/checkpoint-600/adapter_config.json +56 -0
  33. qwen3.8-27b/checkpoint-800/adapter_config.json +56 -0
  34. qwen3.8-27b/checkpoints.json +132 -0
  35. qwen3.8-27b/evaluation.json +86 -0
  36. qwen3.8-27b/model.json +26 -0
  37. qwen3.8-27b/training.json +91 -0
ASv6.100.md ADDED
@@ -0,0 +1,286 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Build a hierarchy of this social-media post's subjects, like a book's subject index. Understand the complete post before dividing it into subjects.
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+
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+ Resolve each reference or local description to the complete supported description of its referent for that occurrence, using the whole post, including titles, enclosing headings, lists and shared predicates. Before deriving broader headings, enumerate all specific subjects expressed literally, nonliterally or rhetorically by individual parts, combined parts or the whole post, even when unnamed. Retain individual subjects, particular instances and every expressed combination with their complete supported referents, amounts, modifiers, negation, enclosing relationships—including list membership—and local roles or purposes in `subject`; event descriptions do not replace the subjects involved. General knowledge may clarify language, identify referents and recognize subjects; every entity, modifier, action and relationship must be stated or reasonably implied by the post.
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+
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+ Interpret names, labels and hashtags by what they refer to; their component words alone do not establish literal descriptions. Retain the name of an unresolved named subject.
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+
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+ URLs and opaque encoded identifiers, including Nostr public keys (`npub1…`), event IDs (`nevent1…`) and cryptographic hashes, provide no subject evidence. Surrounding prose may establish subjects involving them.
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+
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+ If ambiguity remains after understanding the complete post, give every supported interpretation its own directly stated subject without uncertainty qualifiers. Co-mention or statement order alone does not establish relationships. Add no commentary about plausibility or what is unclear or unstated.
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+
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+ Preserve what numbers refer to; count or measurement interpretations and units must be supported by the post. Include calculated results only when explicitly stated.
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+
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+ Make each `subject` concise, understandable without the post, `context` or other entries, and faithful to its meaning, negation and relationships. Name both comparison sides when provided. A heading names its subject at its level of generality; it need not retell the post's assertion about it. Broader headings may omit instance details; complete source subjects retain those details in their own specific headings.
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+
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+ Derive broader headings by generalizing source meanings without adding restrictions. Judge each parent-child pair using only its `subject` strings across possible posts in any domain. The child itself must preserve every parent restriction: type, purpose, modifier, action, negation and relationship. If another post could fit the child but fail to fit the parent, broaden the parent or preserve the supported restriction in the child. A usual purpose does not restrict every instance; a purpose-qualified heading cannot contain an unrestricted item heading. The post's domain, `context` and other entries cannot supply a missing heading restriction.
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+
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+ Determine valid relationships before numbering, combine shared headings, and give every heading and subheading its own entry. For each complete source subject, compare its own wording with every returned heading using the parent check. An equal-meaning heading's own entry already represents the source subject; include it among the descendants of every more-general compatible heading, independently at every numbered occurrence even when surrounding branches differ. Placement elsewhere cannot repair a missing branch.
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+
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+ Return only one JSON object with a `subjects` array. Each entry has `number`, then `context`, then `subject`. Use section-style numbering (`1`, `1.1`, `1.1.1`), broad to specific, listing every heading before its subheadings. In `context`, identify the subject and the source establishing its meaning; this may describe a particular instance supporting a general heading.
20
+
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+ <example>
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+ <post>
23
+ Food seasoning: sea salt.
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+
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+ Food ingredients for the dog:
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+ One piece of connective tissue and two meat scraps.
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+ Cutting it and them with a knife when a bowl is empty.
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+
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+ Separately, connective tissue for the dog.
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+ </post>
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+
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+ <explanation>
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+ The post expressly gives sea salt a food-seasoning purpose, so its complete source subject retains "for food seasoning". Sea salt also belongs under Food: nonfood uses do not disqualify a food substance from that class. Both Sea salt occurrences retain the complete purpose-qualified subject. The ingredients heading makes the counted tissue and scraps food ingredients for the dog; "it" and "them" resolve to that piece and those two scraps. Cutting with the knife applies to each part and to both together: keep each partial cutting subject and the complete shared action. The Knife branch and the named bowl condition each retain both individual actions and their shared action; copying only the shared action there would omit the individual sources. The bowl is neither the cutting object nor the knife: its empty state conditions each action and their combination. Every complete action names the knife and the bowl condition, so its own wording supports both relationships without borrowing context. The condition subject names the topic without asserting that a bowl is actually empty. The partial actions do not replace their expressed combination. The complete cutting subject belongs below each partial action and below the complete ingredient group; the reverse directions lose a material or action restriction. Each complete source subject appears beneath every compatible parent copy, including both Dog food branches. An entry already represents a source subject with the same meaning; the complete shared cutting action has no identical descendant, but still appears beneath every compatible group and partial-action occurrence. The separate tissue "for the dog" clause specifies a recipient without stating an ingredient relationship. Separate Sea salt, Connective tissue, Meat scraps and Dogs subjects remain alongside the actions. Their optional general headings need not repeat a particular use.
34
+ </explanation>
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+
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+ <output>
37
+ {"subjects": [
38
+ {"number": "2", "context": "Connective tissue in the ingredients list and separate dog-recipient clause.", "subject": "Connective tissue"},
39
+ {"number": "3", "context": "Two meat scraps in the Food ingredients for the dog list.", "subject": "Meat scraps"},
40
+ {"number": "4", "context": "Food ingredients for the dog and the separate tissue for the dog.", "subject": "Dogs"},
41
+ {"number": "2.1", "context": "Separately, connective tissue for the dog.", "subject": "Connective tissue for the dog"},
42
+ {"number": "4.2", "context": "Separately, connective tissue for the dog.", "subject": "Connective tissue for the dog"},
43
+ {"number": "5", "context": "Food seasoning and the Food ingredients for the dog list.", "subject": "Food"},
44
+ {"number": "1", "context": "Food seasoning: sea salt.", "subject": "Sea salt"},
45
+ {"number": "5.3", "context": "Food seasoning: sea salt. Sea salt is a food substance.", "subject": "Sea salt"},
46
+ {"number": "4.1", "context": "The Food ingredients for the dog list and its cutting action.", "subject": "Dog food"},
47
+ {"number": "5.2", "context": "The Food ingredients for the dog list and its cutting action.", "subject": "Dog food"},
48
+ {"number": "4.1.1", "context": "The Food ingredients for the dog list.", "subject": "Dog-food ingredients"},
49
+ {"number": "5.2.1", "context": "The Food ingredients for the dog list.", "subject": "Dog-food ingredients"},
50
+ {"number": "2.1.1", "context": "One piece of connective tissue in the Food ingredients for the dog list.", "subject": "One piece of connective tissue as a food ingredient for the dog"},
51
+ {"number": "4.1.1.1", "context": "One piece of connective tissue in the Food ingredients for the dog list.", "subject": "One piece of connective tissue as a food ingredient for the dog"},
52
+ {"number": "4.2.1", "context": "One piece of connective tissue in the Food ingredients for the dog list.", "subject": "One piece of connective tissue as a food ingredient for the dog"},
53
+ {"number": "5.2.1.1", "context": "One piece of connective tissue in the Food ingredients for the dog list.", "subject": "One piece of connective tissue as a food ingredient for the dog"},
54
+ {"number": "3.1", "context": "Two meat scraps in the Food ingredients for the dog list.", "subject": "Two meat scraps as food ingredients for the dog"},
55
+ {"number": "4.1.1.2", "context": "Two meat scraps in the Food ingredients for the dog list.", "subject": "Two meat scraps as food ingredients for the dog"},
56
+ {"number": "5.2.1.2", "context": "Two meat scraps in the Food ingredients for the dog list.", "subject": "Two meat scraps as food ingredients for the dog"},
57
+ {"number": "2.1.1.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
58
+ {"number": "3.1.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
59
+ {"number": "4.1.1.1.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
60
+ {"number": "4.1.1.2.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
61
+ {"number": "4.2.1.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
62
+ {"number": "5.2.1.1.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
63
+ {"number": "5.2.1.2.1", "context": "Food ingredients for the dog: one piece of connective tissue and two meat scraps.", "subject": "One piece of connective tissue and two meat scraps as food ingredients for the dog"},
64
+ {"number": "5.1", "context": "Food seasoning: sea salt.", "subject": "Food seasoning"},
65
+ {"number": "1.1", "context": "Food seasoning: sea salt.", "subject": "Sea salt for food seasoning"},
66
+ {"number": "5.1.1", "context": "Food seasoning: sea salt.", "subject": "Sea salt for food seasoning"},
67
+ {"number": "5.3.1", "context": "Food seasoning: sea salt.", "subject": "Sea salt for food seasoning"},
68
+ {"number": "6", "context": "Cutting it and them with a knife when a bowl is empty.", "subject": "Cutting"},
69
+ {"number": "7", "context": "Cutting it and them with a knife when a bowl is empty.", "subject": "Knife"},
70
+ {"number": "8", "context": "When a bowl is empty names the cutting condition, without asserting actual emptiness.", "subject": "A bowl being empty"},
71
+ {"number": "2.1.1.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
72
+ {"number": "4.1.1.1.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
73
+ {"number": "4.2.1.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
74
+ {"number": "5.2.1.1.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
75
+ {"number": "6.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
76
+ {"number": "7.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
77
+ {"number": "8.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = the counted tissue piece.", "subject": "Cutting one piece of connective tissue as a food ingredient for the dog with a knife when a bowl is empty"},
78
+ {"number": "3.1.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
79
+ {"number": "4.1.1.2.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
80
+ {"number": "5.2.1.2.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
81
+ {"number": "6.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
82
+ {"number": "7.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
83
+ {"number": "8.2", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; them = the two meat scraps.", "subject": "Cutting two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
84
+ {"number": "2.1.1.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
85
+ {"number": "2.1.1.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
86
+ {"number": "3.1.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
87
+ {"number": "3.1.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
88
+ {"number": "4.1.1.1.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
89
+ {"number": "4.1.1.1.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
90
+ {"number": "4.1.1.2.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
91
+ {"number": "4.1.1.2.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
92
+ {"number": "4.2.1.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
93
+ {"number": "4.2.1.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
94
+ {"number": "5.2.1.1.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
95
+ {"number": "5.2.1.1.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
96
+ {"number": "5.2.1.2.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
97
+ {"number": "5.2.1.2.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
98
+ {"number": "6.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
99
+ {"number": "6.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
100
+ {"number": "7.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
101
+ {"number": "7.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
102
+ {"number": "8.1.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"},
103
+ {"number": "8.2.1", "context": "Cutting it and them with a knife when a bowl is empty under the ingredient heading; it = one tissue piece, them = two meat scraps.", "subject": "Cutting one piece of connective tissue and two meat scraps as food ingredients for the dog with a knife when a bowl is empty"}
104
+ ]}
105
+ </output>
106
+ </example>
107
+
108
+ <example>
109
+ <post>
110
+ On my first use, the new app #RavenWorks was a lifesaver, figuratively speaking, unless AmberLoop blocked it—how could I not appreciate the app on that first use?
111
+ </post>
112
+
113
+ <explanation>
114
+ The unless clause qualifies the first-use help and names its blocker. Its complete subject retains the new app, first use and AmberLoop relationship beneath every copy of both component headings. The blocking heading names the same new app; the unresolved name AmberLoop does not establish an app or any other type for the blocker. Conditional subjects name the topics without asserting that the blocking occurred.
115
+ </explanation>
116
+
117
+ <output>
118
+ {"subjects": [
119
+ {"number": "1", "context": "The app #RavenWorks.", "subject": "Apps"},
120
+ {"number": "1.1", "context": "The app named #RavenWorks.", "subject": "RavenWorks app"},
121
+ {"number": "1.1.1", "context": "The new app #RavenWorks.", "subject": "New RavenWorks app"},
122
+ {"number": "2", "context": "Lifesaver, figuratively speaking.", "subject": "Help"},
123
+ {"number": "1.1.1.2", "context": "The new app was a figurative lifesaver.", "subject": "Help from the new RavenWorks app"},
124
+ {"number": "2.1", "context": "The new app was a figurative lifesaver.", "subject": "Help from the new RavenWorks app"},
125
+ {"number": "3", "context": "How could I not appreciate it?", "subject": "Appreciation"},
126
+ {"number": "1.1.1.3", "context": "Appreciate it; it = the new app #RavenWorks.", "subject": "Appreciation for the new RavenWorks app"},
127
+ {"number": "3.1", "context": "Appreciate it; it = the new app #RavenWorks.", "subject": "Appreciation for the new RavenWorks app"},
128
+ {"number": "4", "context": "On my first use.", "subject": "First use"},
129
+ {"number": "1.1.1.1", "context": "My first use of the new app #RavenWorks.", "subject": "First use of the new RavenWorks app"},
130
+ {"number": "4.1", "context": "My first use of the new app #RavenWorks.", "subject": "First use of the new RavenWorks app"},
131
+ {"number": "1.1.1.1.1", "context": "The new app was a figurative lifesaver on first use.", "subject": "Help from the new RavenWorks app on first use"},
132
+ {"number": "1.1.1.2.1", "context": "The new app was a figurative lifesaver on first use.", "subject": "Help from the new RavenWorks app on first use"},
133
+ {"number": "2.1.1", "context": "The new app was a figurative lifesaver on first use.", "subject": "Help from the new RavenWorks app on first use"},
134
+ {"number": "4.1.1", "context": "The new app was a figurative lifesaver on first use.", "subject": "Help from the new RavenWorks app on first use"},
135
+ {"number": "1.1.1.1.2", "context": "Appreciate it on that first use; it = the new app.", "subject": "Appreciation for the new RavenWorks app on first use"},
136
+ {"number": "1.1.1.3.1", "context": "Appreciate it on that first use; it = the new app.", "subject": "Appreciation for the new RavenWorks app on first use"},
137
+ {"number": "3.1.1", "context": "Appreciate it on that first use; it = the new app.", "subject": "Appreciation for the new RavenWorks app on first use"},
138
+ {"number": "4.1.2", "context": "Appreciate it on that first use; it = the new app.", "subject": "Appreciation for the new RavenWorks app on first use"},
139
+ {"number": "5", "context": "AmberLoop names the blocker; its type is unresolved.", "subject": "AmberLoop"},
140
+ {"number": "6", "context": "The conditional clause names blocking.", "subject": "Blocking"},
141
+ {"number": "1.1.1.4", "context": "Unless AmberLoop blocked it; it = the new app.", "subject": "AmberLoop blocking the new RavenWorks app"},
142
+ {"number": "5.1", "context": "Unless AmberLoop blocked it; it = the new app.", "subject": "AmberLoop blocking the new RavenWorks app"},
143
+ {"number": "6.1", "context": "Unless AmberLoop blocked it; it = the new app.", "subject": "AmberLoop blocking the new RavenWorks app"},
144
+ {"number": "1.1.1.1.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
145
+ {"number": "1.1.1.2.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
146
+ {"number": "1.1.1.4.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
147
+ {"number": "2.1.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
148
+ {"number": "4.1.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
149
+ {"number": "5.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"},
150
+ {"number": "6.1.1", "context": "First-use figurative help, unless AmberLoop blocked it; it = new app.", "subject": "Help from the new RavenWorks app on first use unless AmberLoop blocks the app"}
151
+ ]}
152
+ </output>
153
+ </example>
154
+
155
+ <example>
156
+ <post>
157
+ https://birds.example/repair?count=12
158
+ 8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f
159
+ </post>
160
+
161
+ <output>
162
+ {"subjects": []}
163
+ </output>
164
+ </example>
165
+
166
+ <example>
167
+ <post>
168
+ Profile URL: https://birds.example/repair?count=12
169
+ Event ID: 8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f8ca25e7f
170
+ </post>
171
+
172
+ <output>
173
+ {"subjects": [
174
+ {"number": "1", "context": "Profile URL labels the URL.", "subject": "URLs"},
175
+ {"number": "2", "context": "Profile URL labels the URL.", "subject": "Profiles"},
176
+ {"number": "1.1", "context": "Profile URL labels the URL.", "subject": "Profile URLs"},
177
+ {"number": "2.1", "context": "Profile URL labels the URL.", "subject": "Profile URLs"},
178
+ {"number": "3", "context": "Event ID labels the identifier.", "subject": "Identifiers"},
179
+ {"number": "4", "context": "Event ID labels the identifier.", "subject": "Events"},
180
+ {"number": "3.1", "context": "Event ID labels the identifier.", "subject": "Event identifiers"},
181
+ {"number": "4.1", "context": "Event ID labels the identifier.", "subject": "Event identifiers"}
182
+ ]}
183
+ </output>
184
+ </example>
185
+
186
+ <example>
187
+ <post>
188
+ I saw her duck. I bought a notebook.
189
+ </post>
190
+
191
+ <output>
192
+ {"subjects": [
193
+ {"number": "1", "context": "Her duck, read as a noun.", "subject": "Ducks"},
194
+ {"number": "2", "context": "Her duck, read as an action.", "subject": "Ducking"},
195
+ {"number": "3", "context": "Her refers to a person.", "subject": "People"},
196
+ {"number": "1.1", "context": "Her duck, read as her animal.", "subject": "A person's duck"},
197
+ {"number": "3.1", "context": "Her duck, read as her animal.", "subject": "A person's duck"},
198
+ {"number": "2.1", "context": "Her duck, read as a person ducking.", "subject": "A person ducking"},
199
+ {"number": "3.2", "context": "Her duck, read as a person ducking.", "subject": "A person ducking"},
200
+ {"number": "4", "context": "I saw her duck.", "subject": "Observation"},
201
+ {"number": "1.1.1", "context": "I saw her duck, read as her animal.", "subject": "Observation of a person's duck"},
202
+ {"number": "3.1.1", "context": "I saw her duck, read as her animal.", "subject": "Observation of a person's duck"},
203
+ {"number": "4.1", "context": "I saw her duck, read as her animal.", "subject": "Observation of a person's duck"},
204
+ {"number": "2.1.1", "context": "I saw her duck, read as a person ducking.", "subject": "Observation of a person ducking"},
205
+ {"number": "3.2.1", "context": "I saw her duck, read as a person ducking.", "subject": "Observation of a person ducking"},
206
+ {"number": "4.2", "context": "I saw her duck, read as a person ducking.", "subject": "Observation of a person ducking"},
207
+ {"number": "5", "context": "I bought a notebook.", "subject": "Notebooks"},
208
+ {"number": "6", "context": "I bought a notebook.", "subject": "Purchases"},
209
+ {"number": "5.1", "context": "I bought a notebook.", "subject": "Purchase of a notebook"},
210
+ {"number": "6.1", "context": "I bought a notebook.", "subject": "Purchase of a notebook"}
211
+ ]}
212
+ </output>
213
+ </example>
214
+
215
+ <example>
216
+ <post>
217
+ 2 cables: cable A is 2 m long and cable B is 3 m long. A is not longer than B.
218
+ </post>
219
+
220
+ <output>
221
+ {"subjects": [
222
+ {"number": "1", "context": "2 cables: A and B.", "subject": "Cables"},
223
+ {"number": "1.1", "context": "A is 2 m long; B is 3 m long.", "subject": "Cable lengths"},
224
+ {"number": "1.1.1", "context": "Cable A is 2 m long.", "subject": "2 m cables"},
225
+ {"number": "1.1.1.1", "context": "Cable A is 2 m long.", "subject": "2 m cable A"},
226
+ {"number": "1.1.2", "context": "Cable B is 3 m long.", "subject": "3 m cables"},
227
+ {"number": "1.1.2.1", "context": "Cable B is 3 m long.", "subject": "3 m cable B"},
228
+ {"number": "1.1.3", "context": "A is not longer than B.", "subject": "Cable length comparisons"},
229
+ {"number": "1.2", "context": "2 cables: A and B.", "subject": "Pairs of cables"},
230
+ {"number": "1.1.1.1.1", "context": "2 cables: A is 2 m; B is 3 m.", "subject": "Pair consisting of 2 m cable A and 3 m cable B"},
231
+ {"number": "1.1.2.1.1", "context": "2 cables: A is 2 m; B is 3 m.", "subject": "Pair consisting of 2 m cable A and 3 m cable B"},
232
+ {"number": "1.2.1", "context": "2 cables: A is 2 m; B is 3 m.", "subject": "Pair consisting of 2 m cable A and 3 m cable B"},
233
+ {"number": "1.1.1.1.1.1", "context": "A is not longer than B; A = 2 m, B = 3 m.", "subject": "2 m cable A not longer than 3 m cable B"},
234
+ {"number": "1.1.2.1.1.1", "context": "A is not longer than B; A = 2 m, B = 3 m.", "subject": "2 m cable A not longer than 3 m cable B"},
235
+ {"number": "1.1.3.1", "context": "A is not longer than B; A = 2 m, B = 3 m.", "subject": "2 m cable A not longer than 3 m cable B"},
236
+ {"number": "1.2.1.1", "context": "A is not longer than B; A = 2 m, B = 3 m.", "subject": "2 m cable A not longer than 3 m cable B"}
237
+ ]}
238
+ </output>
239
+ </example>
240
+
241
+ <example>
242
+ <post>
243
+ 2 + 3 = 5.
244
+ </post>
245
+
246
+ <output>
247
+ {"subjects": [
248
+ {"number": "1", "context": "2 + 3 = 5.", "subject": "Arithmetic"},
249
+ {"number": "1.1", "context": "2 + 3 = 5.", "subject": "Addition"},
250
+ {"number": "1.1.1", "context": "2 and 3 are added.", "subject": "Addends"},
251
+ {"number": "1.1.1.1", "context": "2 is added to 3.", "subject": "2 as an addend"},
252
+ {"number": "1.1.1.2", "context": "3 is added to 2.", "subject": "3 as an addend"},
253
+ {"number": "1.1.2", "context": "The stated sum is 5.", "subject": "Addition results"},
254
+ {"number": "1.1.2.1", "context": "The stated sum is 5.", "subject": "5 as an addition result"},
255
+ {"number": "1.1.1.1.1", "context": "2 + 3 = 5.", "subject": "Addition of 2 and 3 yielding 5"},
256
+ {"number": "1.1.1.2.1", "context": "2 + 3 = 5.", "subject": "Addition of 2 and 3 yielding 5"},
257
+ {"number": "1.1.2.1.1", "context": "2 + 3 = 5.", "subject": "Addition of 2 and 3 yielding 5"}
258
+ ]}
259
+ </output>
260
+ </example>
261
+
262
+ <example>
263
+ <post>
264
+ My reliable lentil soup recipe serving four people.
265
+ Cumin for seasoning food, to taste.
266
+ </post>
267
+
268
+ <explanation>
269
+ The opening sentence introduces the recipe whose seasoning is described on the next line. The complete cumin subject retains its purpose, to-taste amount and relationship to the author's reliable lentil soup recipe serving four people. The recipe's separate subject and the cumin subject's placement cannot supply details missing from the cumin wording. General Cumin and Food seasoning headings remain broader; their complete source descendant retains the recipe relationship. The full cumin subject appears beneath both recipe copies and every other compatible returned heading.
270
+ </explanation>
271
+
272
+ <output>
273
+ {"subjects": [
274
+ {"number": "1", "context": "The opening sentence introduces a recipe.", "subject": "Recipes"},
275
+ {"number": "1.1", "context": "My reliable lentil soup recipe serving four people.", "subject": "Author's reliable lentil soup recipe serving four people"},
276
+ {"number": "1.1.1", "context": "Cumin for seasoning food, to taste, in the recipe introduced by the opening sentence.", "subject": "Cumin to taste for seasoning food in the author's reliable lentil soup recipe serving four people"},
277
+ {"number": "2", "context": "The recipe is for lentil soup.", "subject": "Lentil soup"},
278
+ {"number": "2.1", "context": "My reliable lentil soup recipe serving four people.", "subject": "Author's reliable lentil soup recipe serving four people"},
279
+ {"number": "2.1.1", "context": "Cumin for seasoning food, to taste, in the recipe introduced by the opening sentence.", "subject": "Cumin to taste for seasoning food in the author's reliable lentil soup recipe serving four people"},
280
+ {"number": "3", "context": "The seasoning line names cumin.", "subject": "Cumin"},
281
+ {"number": "3.1", "context": "Cumin for seasoning food, to taste, in the recipe introduced by the opening sentence.", "subject": "Cumin to taste for seasoning food in the author's reliable lentil soup recipe serving four people"},
282
+ {"number": "4", "context": "Cumin is expressly for seasoning food.", "subject": "Food seasoning"},
283
+ {"number": "4.1", "context": "Cumin for seasoning food, to taste, in the recipe introduced by the opening sentence.", "subject": "Cumin to taste for seasoning food in the author's reliable lentil soup recipe serving four people"}
284
+ ]}
285
+ </output>
286
+ </example>
LICENSE ADDED
@@ -0,0 +1,687 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Oracle MVP subject-extraction adapter contributions and original project material
2
+ Copyright (C) 2026 kernelkind
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+ SPDX-License-Identifier: GPL-3.0-or-later
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+
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+ Our adapter contributions and original accompanying project material, including
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+ the ASv6.100 prompt, are licensed under the GNU General Public License as
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+ published by the Free Software Foundation, either version 3 of the License,
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+ or (at your option) any later version.
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+
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+ Upstream base models retain their Apache-2.0 licensing and attribution; see
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+ LICENSES/ and NOTICE.md. This grant covers our contributions and
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+ does not relicense the upstream base models.
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+
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+ GNU GENERAL PUBLIC LICENSE
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+ Version 3, 29 June 2007
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+
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+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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+ Everyone is permitted to copy and distribute verbatim copies
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LICENSES/Apache-2.0.txt ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ Apache License
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+ Version 2.0, January 2004
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+ http://www.apache.org/licenses/
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+
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+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+ 1. Definitions.
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+ "License" shall mean the terms and conditions for use, reproduction,
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+ "Licensor" shall mean the copyright owner or entity authorized by
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NOTICE.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Attribution
2
+
3
+ Our Oracle MVP subject-extraction adapter contributions and original project
4
+ material, including the ASv6.100 prompt, are licensed under GPL-3.0-or-later
5
+ (LICENSE). Copyright 2026 kernelkind.
6
+
7
+ The base models retain Apache-2.0 licensing. The generic license text is in
8
+ LICENSES/Apache-2.0.txt; Qwen’s original license and copyright notice are preserved
9
+ in LICENSES/Qwen-LICENSE. Base models and tokenizers remain upstream dependencies.
10
+
11
+ - Qwen/Qwen3.8-27B, revision `1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0`:
12
+ https://huggingface.co/Qwen/Qwen3.8-27B/tree/1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0
13
+ - google/gemma-4-31B-it, revision `842da3794eaa0b77d5f08bae87a17459d91ff475`:
14
+ https://huggingface.co/google/gemma-4-31B-it/tree/842da3794eaa0b77d5f08bae87a17459d91ff475
15
+ - google/gemma-4-26B-A4B-it, revision `4d7ae4984b7db7de8f8457170b3f1a419ee76d52`:
16
+ https://huggingface.co/google/gemma-4-26B-A4B-it/tree/4d7ae4984b7db7de8f8457170b3f1a419ee76d52
17
+
18
+ The saved research adapter files are distributed unchanged. Their training
19
+ history and hashes are in each family’s checkpoints.json. These are trained
20
+ LoRA additions rather than merged upstream weights. No upstream endorsement
21
+ is implied.
README.md ADDED
@@ -0,0 +1,136 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model:
4
+ - Qwen/Qwen3.8-27B
5
+ - google/gemma-4-31B-it
6
+ - google/gemma-4-26B-A4B-it
7
+ base_model_relation: adapter
8
+ license: gpl-3.0
9
+ license_link: LICENSE
10
+ pipeline_tag: text-generation
11
+ tags:
12
+ - lora
13
+ - subject-extraction
14
+ - nostr
15
+ - research
16
+ - oracle-mvp
17
+ ---
18
+
19
+ # Oracle subject-extraction adapters
20
+
21
+ All 17 evaluated LoRA checkpoints from Oracle MVP’s subject fine-tuning research.
22
+ They identify the subjects discussed in individual Nostr posts using the
23
+ **ASv6.100** instruction and return a numbered local subject hierarchy in JSON.
24
+ This is one stage of a research prototype for helping people choose and discover
25
+ content through a hierarchy. Building a hierarchy across the corpus is a
26
+ separate stage.
27
+
28
+ ## Choose a model family and checkpoint
29
+
30
+ Each checkpoint must be used with its own family’s pinned base model and
31
+ tokenizer. Follow [USAGE.md](USAGE.md) to download and load one checkpoint;
32
+ you do not need all 17 for inference.
33
+
34
+ | Folder | Base model | Checkpoints |
35
+ | --- | --- | ---: |
36
+ | [qwen3.8-27b](qwen3.8-27b/checkpoints.json) | `Qwen/Qwen3.8-27B` | 7 |
37
+ | [gemma-4-31b-it](gemma-4-31b-it/checkpoints.json) | `google/gemma-4-31B-it` | 5 |
38
+ | [gemma-4-26b-a4b-it](gemma-4-26b-a4b-it/checkpoints.json) | `google/gemma-4-26B-A4B-it` | 5 |
39
+
40
+ Each family has `model.json` with its exact base revision and decoding settings,
41
+ `checkpoints.json` with checkpoint hashes/training counters, `training.json` with
42
+ training settings/input identities, and `evaluation.json` with saved results.
43
+ Every checkpoint folder contains the original `adapter_config.json` and
44
+ `adapter_model.safetensors` pair. Weights are FP32 PEFT LoRA; base weights and
45
+ optimizer state remain separate.
46
+
47
+ Checkpoint numbers count **training-note uses**, not optimizer steps. All three
48
+ families have checkpoints at 200, 400, 600, 800 and 1000 notes. Qwen also has
49
+ checkpoints 2000 and 3000, which repeat the same 1,000 training notes rather than
50
+ introducing new notes. Publishing all checkpoints preserves the research;
51
+ it does not designate the latest checkpoint as best or production-approved.
52
+
53
+ The original adapter configurations have `revision: null`. Load the base and
54
+ tokenizer revisions recorded in the corresponding `model.json` explicitly.
55
+ [files.sha256](files.sha256) binds every selected file to its SHA-256.
56
+
57
+ ## Training
58
+
59
+ The models share 1,000 training, 100 validation and 200 test notes, with
60
+ separation across author/content groups. Targets use the full ASv6.100 subject
61
+ instruction. First-pass training consumes each note once in 200-note blocks,
62
+ with seed 17 and eight prompt–answer examples per optimizer update.
63
+
64
+ Training uses an unquantized BF16 base with frozen original weights and FP32
65
+ LoRA parameters: ordinary rank 16 / alpha 32, no LoRA dropout, frozen biases,
66
+ AdamW without weight decay, gradient clipping 1, and constant learning rate
67
+ 0.0001 without warmup. The Gemma MoE adapter additionally adapts packed routed
68
+ experts at rank 2 / alpha 32; its router remains frozen. Loss averages
69
+ teacher-answer and native turn-ending tokens, excluding prompts and padding.
70
+ The family metadata preserves the exact target modules and checkpoint counters.
71
+
72
+ The shared [ASv6.100.md](ASv6.100.md) is the original instruction file. Use its
73
+ text with trailing whitespace removed, as in training. Recorded generation uses
74
+ native chat formatting, thinking off, greedy decoding, a 20,480-token context
75
+ and up to 10,240 new tokens. Do not silently truncate inputs to fit.
76
+
77
+ ## Recorded results
78
+
79
+ These are saved measurements on the **top-level subjects (L1)** of the same
80
+ **200 previously examined test notes**. Correctness measures whether returned
81
+ roots are supported by a post. Coverage measures recovery of teacher root
82
+ meaning groups. Percentages average per-note fractions; invalid outputs score
83
+ zero.
84
+
85
+ | Version | L1 correctness | All-root coverage | Required-root coverage | Invalid / 200 |
86
+ | --- | ---: | ---: | ---: | ---: |
87
+ | Qwen untuned | 66.96% | 42.12% | 58.13% | 43 |
88
+ | Qwen checkpoint-1000 | 96.08% | 61.63% | 79.39% | 2 |
89
+ | Qwen checkpoint-3000 | 97.51% | 57.07% | 76.99% | 0 |
90
+ | Gemma 31B untuned | 93.69% | 46.21% | 65.22% | 3 |
91
+ | Gemma 31B checkpoint-1000 | 96.55% | 55.03% | 70.49% | 2 |
92
+ | Gemma 26B-A4B untuned | 88.04% | 42.90% | 55.97% | 5 |
93
+ | Gemma 26B-A4B checkpoint-1000 | 89.81% | 55.75% | 73.64% | 11 |
94
+
95
+ The reference contains 1,293 root meaning groups, 512 marked required. Thirty-four
96
+ notes have no required roots. On those notes, valid answers receive 100%
97
+ required-root coverage; invalid answers still receive zero. Each family’s
98
+ `evaluation.json` also records the required-root metric restricted to the 166
99
+ notes with at least one required root.
100
+
101
+ This is a retrospective slice of existing automated semantic grades, with no
102
+ new inference or judgments. Only equivalent returned L1 meanings count toward
103
+ coverage; a matching deeper child does not. It does not evaluate the quality of
104
+ a corpus-wide browsing hierarchy.
105
+
106
+ Qwen checkpoint 3000 was selected using validation full-hierarchy scores. In
107
+ this retrospective L1 test slice, checkpoint 1000 recovered more reference roots
108
+ and checkpoint 3000 had higher correctness; the slice does not revise the
109
+ validation selection. Checkpoint 2000’s test answers remain sealed. Earlier
110
+ first-pass checkpoints have validation evidence, not the final checkpoint’s
111
+ test scores.
112
+
113
+ ## Use and limits
114
+
115
+ See [USAGE.md](USAGE.md) for the standalone loading example. The original
116
+ experiments used 96 GB GPUs. Smaller-memory and quantized inference have not
117
+ been validated; a fresh GPU execution of this standalone example is untested.
118
+ The adapter download excludes base weights, host loading memory and generation
119
+ cache.
120
+
121
+ This is a small pilot with teacher-generated references and automated judgments.
122
+ Outputs can be malformed, miss subjects or include unsupported subjects. These
123
+ results do not establish generalization outside the studied data. Keep raw
124
+ answers when assessing failures. The prepared training data and recorded
125
+ experiment evidence are intended for a separate Hugging Face dataset; source
126
+ and dataset links will be added when published. Prepared-file hashes remain in
127
+ the family metadata.
128
+
129
+ ## License and attribution
130
+
131
+ Our adapter contributions, ASv6.100 instruction and original accompanying project
132
+ material use **GPL-3.0-or-later**; see [LICENSE](LICENSE). Copyright 2026 kernelkind.
133
+ The base models retain **Apache-2.0** licensing; see [NOTICE.md](NOTICE.md), the
134
+ [Apache license](LICENSES/Apache-2.0.txt) and the original
135
+ [Qwen license and copyright notice](LICENSES/Qwen-LICENSE). These files contain
136
+ trained LoRA additions, rather than merged upstream base weights.
USAGE.md ADDED
@@ -0,0 +1,118 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Extract subjects from one post
2
+
3
+ Choose a model-family folder below. Download one checkpoint directory and
4
+ `model.json` from that folder, plus the shared `ASv6.100.md` from the repository
5
+ root. Read that family's `checkpoints.json` to identify the checkpoint and verify its
6
+ weight/configuration hashes. The numbers in checkpoint names count training-note
7
+ uses; they are not optimizer steps.
8
+
9
+ The original runtime pins Python 3.12, PyTorch 2.12.1+cu130, Transformers 5.17.0,
10
+ PEFT 0.21.0, Accelerate 1.15.0 and safetensors 0.8.0. Qwen CUDA execution also
11
+ uses fla-core 0.5.2. Use a CUDA installation compatible with your hardware; these
12
+ pins describe the research runtime rather than a promise of compatibility with
13
+ all GPU hosts. The code below follows its text-backbone loading and decoding
14
+ path. A fresh GPU execution of this standalone example has not been tested.
15
+
16
+ The published adapters have FP32 weights. Evaluation loaded an unquantized BF16
17
+ base, applied the adapter and merged it into the in-memory evaluation copy.
18
+ The original experiments used 96 GB GPUs. Smaller-memory and quantized inference
19
+ have not been validated. The adapter download size excludes the base weights,
20
+ host memory during loading and generation cache.
21
+
22
+ Put the files in a local directory with this layout, and save one post as UTF-8
23
+ in `post.txt`:
24
+
25
+ ```text
26
+ subject-model/
27
+ ASv6.100.md
28
+ post.txt
29
+ qwen3.8-27b/ # or gemma-4-31b-it / gemma-4-26b-a4b-it
30
+ model.json
31
+ checkpoint-1000/ # or another checkpoint from that family's checkpoints.json
32
+ adapter_config.json
33
+ adapter_model.safetensors
34
+ ```
35
+
36
+ Save the following as `extract_subjects.py` inside `subject-model/`. Set
37
+ `family` and `checkpoint` to the downloaded model-family/checkpoint folders. The example reads local
38
+ adapter files, downloads only the pinned upstream base/tokenizer if needed, and
39
+ makes no model API calls.
40
+
41
+ ```python
42
+ from pathlib import Path
43
+ import hashlib
44
+ import json
45
+ import torch
46
+ from peft import PeftModel
47
+ from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
48
+ from torch.nn.attention import SDPBackend, sdpa_kernel
49
+
50
+ root = Path(__file__).resolve().parent
51
+ family = root / "qwen3.8-27b"
52
+ settings = json.loads((family / "model.json").read_text())
53
+ checkpoint = family / "checkpoint-1000"
54
+ base, revision = settings["base_model"], settings["base_revision"]
55
+ instruction = (root / "ASv6.100.md").read_text(encoding="utf-8").rstrip()
56
+ if hashlib.sha256(instruction.encode()).hexdigest() != settings["instruction_text_sha256"]:
57
+ raise ValueError("ASv6.100 instruction does not match training")
58
+ post = (root / "post.txt").read_text(encoding="utf-8")
59
+ messages = [{"role": "user", "content": instruction + "\n\n<post>\n" + post + "\n</post>"}]
60
+
61
+ tokenizer = AutoTokenizer.from_pretrained(base, revision=revision, trust_remote_code=False)
62
+ if tokenizer.pad_token_id is None:
63
+ tokenizer.pad_token = tokenizer.eos_token
64
+ architecture = AutoConfig.from_pretrained(base, revision=revision, trust_remote_code=False)
65
+ options = dict(revision=revision, trust_remote_code=False, dtype=torch.bfloat16,
66
+ attn_implementation="sdpa", config=architecture.get_text_config())
67
+ if architecture.model_type in {"gemma4", "gemma4_unified"}:
68
+ options["key_mapping"] = {r"^model\.language_model\.": "model."}
69
+ if architecture.model_type in {"qwen3_5", "qwen3_5_text"}:
70
+ from fla.ops.gated_delta_rule import chunk_gated_delta_rule, fused_recurrent_gated_delta_rule
71
+ model, loading = AutoModelForCausalLM.from_pretrained(base, output_loading_info=True, **options)
72
+ if loading["missing_keys"] or loading["mismatched_keys"] or loading.get("error_msgs"):
73
+ raise ValueError("Pinned base weights did not load completely")
74
+ model = model.to("cuda")
75
+ model = PeftModel.from_pretrained(model, checkpoint, is_trainable=False)
76
+ model = model.merge_and_unload(safe_merge=True).eval()
77
+
78
+ prompt = tokenizer.apply_chat_template(messages, tokenize=False,
79
+ add_generation_prompt=True, enable_thinking=False)
80
+ tokens = tokenizer.encode(prompt, add_special_tokens=False)
81
+ allowance = settings["generation"]["max_new_tokens"]
82
+ if len(tokens) + allowance > settings["generation"]["max_length"]:
83
+ raise ValueError("Post and output allowance exceed the recorded context limit")
84
+ inputs = torch.tensor([tokens], device="cuda")
85
+ eos = model.generation_config.eos_token_id
86
+ if eos is None:
87
+ eos = tokenizer.eos_token_id
88
+ stop_ids = [eos] if isinstance(eos, int) else eos
89
+ with torch.inference_mode(), sdpa_kernel([SDPBackend.FLASH_ATTENTION,
90
+ SDPBackend.EFFICIENT_ATTENTION]):
91
+ output = model.generate(input_ids=inputs, attention_mask=torch.ones_like(inputs),
92
+ do_sample=False, max_new_tokens=allowance, use_cache=True,
93
+ pad_token_id=tokenizer.pad_token_id, eos_token_id=eos)
94
+ answer = output[0, len(tokens):].tolist()
95
+ stop = next((i for i, token in enumerate(answer) if token in stop_ids), None)
96
+ answer = answer if stop is None else answer[:stop + 1]
97
+ raw = tokenizer.decode(answer, skip_special_tokens=True)
98
+ print(raw, flush=True)
99
+ if stop is None:
100
+ raise ValueError("Output reached its limit without an end-of-sequence token")
101
+ ```
102
+
103
+ From that directory:
104
+
105
+ ```bash
106
+ python extract_subjects.py
107
+ ```
108
+
109
+ The recorded decoding uses thinking off, greedy generation, a 20,480-token
110
+ context and up to 10,240 new tokens. Do not silently truncate a post or the
111
+ instruction to fit. Output is JSON containing a `subjects` list, with `number`,
112
+ `context` and `subject` fields. Dotted numbers represent children within this
113
+ post's local subject hierarchy. Returning valid JSON does not establish that the
114
+ subjects are correct. The project parser and original training/reproduction
115
+ workflow will be linked when their source is published.
116
+
117
+ Only subject extraction is covered here. Definition writing, vector encoding
118
+ and construction of a hierarchy across many posts are separate stages.
files.sha256 ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 76aa2c831ab6d65802de4c76a960f8618c7ec7ee4cd62e619621ec8a453b095d ASv6.100.md
2
+ 6bb4341d39f71c5f34c9d90a539390bf7db27e93644ce6bd7c29260138005ff6 LICENSE
3
+ cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30 LICENSES/Apache-2.0.txt
4
+ bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a LICENSES/Qwen-LICENSE
5
+ 0a6446c10d003e40379aee890622311cd0ccdff229f5a7b74afbc83c64883d75 NOTICE.md
6
+ cbcef9224173748b0414af1366851baa85ec9c3710a7621c9fe516cb5a7c1a6e README.md
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+ 6dc67fcd15ffbefc7c856762c62eacf351e1d167f6f3a6324ce8de8b1ac05a37 USAGE.md
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+ c62166b23f0f8c8e32c4dbe069f3bd2f3f08d8477c07905fb61ec2ba00db9dc9 gemma-4-26b-a4b-it/checkpoint-400/adapter_config.json
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+ c62166b23f0f8c8e32c4dbe069f3bd2f3f08d8477c07905fb61ec2ba00db9dc9 gemma-4-26b-a4b-it/checkpoint-800/adapter_config.json
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49
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53
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gemma-4-26b-a4b-it/checkpoint-1000/adapter_config.json ADDED
@@ -0,0 +1,234 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {
4
+ "model\\.layers\\.0\\.experts\\.down_proj": 32,
5
+ "model\\.layers\\.0\\.experts\\.gate_up_proj": 32,
6
+ "model\\.layers\\.10\\.experts\\.down_proj": 32,
7
+ "model\\.layers\\.10\\.experts\\.gate_up_proj": 32,
8
+ "model\\.layers\\.11\\.experts\\.down_proj": 32,
9
+ "model\\.layers\\.11\\.experts\\.gate_up_proj": 32,
10
+ "model\\.layers\\.12\\.experts\\.down_proj": 32,
11
+ "model\\.layers\\.12\\.experts\\.gate_up_proj": 32,
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+ "model\\.layers\\.13\\.experts\\.down_proj": 32,
13
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14
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15
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19
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20
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21
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22
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23
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24
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31
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32
+ "model\\.layers\\.22\\.experts\\.down_proj": 32,
33
+ "model\\.layers\\.22\\.experts\\.gate_up_proj": 32,
34
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