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BertilBraun
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Model Details
Model Provider
BertilBraun
Model Tree
Qwen/Qwen3-1.7B
Input Modalities
Output Modalities
Supported Functionality
e17b27a70d244cc86ccca08cf5af4e1e306ecf908b1ad5e5e-5training-config.json and training-summary.json contain the complete run
configuration and summary.
The checkpoint evaluation uses 240 conversation states sampled from the 511
held-out test records. It balances required search, calculate, and
get_time calls, no-tool responses, and post-tool continuations. Every state
is sampled with seeds 17, 29, and 43 using the production Voice Light system
prompt.
| Metric | Epoch 4 | Previous adapter |
|---|---|---|
| Parser-valid output | 100.0% | 100.0% |
| Required tool emitted | 77.2% | 27.2% |
| Correct tool selected | 61.7% | 27.2% |
| Schema-valid required call | 75.6% | 27.2% |
| Bridge present before required call | 100.0% | 100.0% |
| Correctly avoided a tool | 93.3% |
The full eight-checkpoint report is included as checkpoint-evaluation.json.
The adapter is intentionally a behavioral nudge rather than a general-purpose
replacement for the base model.
Load this repository as a PEFT adapter on the exact pinned base revision. Voice Light disables Qwen thinking mode and supplies tools through the native chat template.
This is a small conversational model. It can still choose the wrong tool, omit a required call, over-call, or produce a bridge longer than requested. Applications must validate tool names and arguments, execute tools outside the model, and never treat generated factual claims as verified tool results.
| 100.0% |
| Nonempty post-tool continuation | 83.9% | 100.0% |