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functiongemma-270m-it-simple-tool-calling-memory-fusion
vtava/functiongemma-270m-it-simple-tool-calling-memory-fusion
functiongemma-270m-it-simple-tool-calling-memory-fusion is a machine learning model from vtava. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Base revision: 303296b8f3262f08ecdfc6008e94374bbd697d02 Accepted layers: [5, 11, 17] Status: complete
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Updated Sep 15, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 15, 2026
- Updated
- Sep 15, 2026
- SHA
- 7d2c2973
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Model card
From the Hugging Face model README
FunctionGemma 270M + TinyCeNN Memory Fusion
Base revision: 303296b8f3262f08ecdfc6008e94374bbd697d02
Accepted layers: [5, 11, 17]
Status: complete
Only original full-attention anchors are replaced; Gemma3 sliding-window layers remain unchanged.
| Layer | Accepted | NMSE | Cosine | Incremental ΔNLL |
|---|---|---|---|---|
| 5 | False | 0.39167 | 0.77734 | -1.94749 |
| 5 | False | 0.24159 | 0.86916 | -1.92459 |
| 5 | True | 0.15754 | 0.92262 | -2.06301 |
| 11 | True | 0.16000 | 0.92147 | -0.23931 |
| 17 | False | 0.15327 | 0.92281 | +0.07050 |
| 17 | False | 0.11939 | 0.94842 | +0.02532 |
| 17 | True | 0.13087 | 0.94070 | +0.00713 |
Acceptance gates: NMSE ≤ 0.20, cosine ≥ 0.90, incremental ΔNLL ≤ +0.015, cumulative ΔNLL ≤ +0.05.
training/sequential_in_progress.pt is resumable research state and may contain an unaccepted layer.
- Library
- transformers
- Created
- Sep 15, 2026
- Updated
- Sep 15, 2026