micic-mihajlo/gemma-4-12b-social-post-lora
LoRA adapter for general-purpose social media post drafting.
Base
- Base model:
google/gemma-4-12B - Adapter:
micic-mihajlo/gemma-4-12b-social-post-lora - Training method:
QLoRA + FSDP + MMD/JMQ
Data
- Train examples:
3 - Validation examples:
1 - Generated eval posts:
10
Objective
The adapter is optimized for brief-to-post generation with supervised cross-entropy plus distribution-alignment regularizers over token-logit shape.
Evaluation
| Metric | Value |
|---|---|
avg_sentence_length |
15.7489 |
avg_word_length |
5.0170 |
char_count |
429.6000 |
cta_marker_count |
0.2000 |
hashtag_count |
0.0000 |
mention_count |
0.0000 |
punctuation_rate |
0.0228 |
sentence_count |
4.4000 |
type_token_ratio |
0.7624 |
url_count |
0.0000 |
word_count |
68.3000 |
Base Comparison
- Style distance improvement:
661.4012 - Adapter-target distance:
282.1723 - Base-target distance:
943.5735
Limitations
- This adapter should not be used to imitate a private person, brand, or protected identity.
- Quality depends on the human-reference corpus and held-out brief coverage.
- Distribution metrics are diagnostic signals, not a substitute for human review.
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Model tree for micic-mihajlo/gemma-4-12b-social-post-lora
Base model
google/gemma-4-12B