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MityaLabs
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Model Details
Model Provider
MityaLabs
Model Tree
Qwen/Qwen3-1.7B
Input Modalities
Output Modalities
Supported Functionality
Qwen/Qwen3-1.7B (Apache-2.0).temperature 0, compact prompt, GGUF Q4_K_M. Sets are Russian tool-selection queries
with exact expected tool and arguments.
| Set | Correct tool | With arguments |
|---|---|---|
| frozen 148-query set | 131/148 (89%) | 125/148 (84%) |
| held-out 40 (v2) | 33/40 (82%) | 32/40 (80%) |
| held-out 40 (v3) | 32/40 (80%) | 27/40 (68%) |
| held-out 40 (v4) | — | — |
With the kuzya rules layer (deterministic pre-routing and argument repair in the agent, not in these weights) the same model scores 98–100% on the fresh sets: 40/40 on held-out v4 and v3 and 40/40 on v2. Do not attribute those numbers to the weights alone.
Phone (Poco F1, Q4_K_M): peak RAM 1.71 GB, load 3–4 s, warm energy 8.9 J per query with rules (30.7 J without rules), mean 2.4 s per query with rules.
mute_set and nosleep_set on/off can be inverted without the agent rules.service_logs.