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Browse files- README.md +120 -0
- measure-declared.ru.md +76 -0
- results/answers-32b.jsonl +600 -0
- results/answers-7b.jsonl +600 -0
- run_models.py +102 -0
README.md
CHANGED
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@@ -182,3 +182,123 @@ python evaluate.py data/test.jsonl answers.jsonl
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```json
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{"id": "orders-1", "setting": "with_trace", "repeat": 1, "output": "ОТВЕТ: 3"}
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```
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```json
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{"id": "orders-1", "setting": "with_trace", "repeat": 1, "output": "ОТВЕТ: 3"}
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```
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+
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+
## Reference numbers
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+
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Measured 30 August 2026 on one RTX 6000 Ada under ollama. Four sizes of **one
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family, one generation, one quantization** (Q4_K_M) — only the size varies, so a
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difference between rows is a difference in size and not in training recipe.
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Prompts are taken from `data/test.jsonl` verbatim. Temperature 0.8; seed = repeat
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number, identical in both settings; context 16384; at most 300 tokens of answer;
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5 repeats. 600 answers per model, 2400 in all. The raw answers are in
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`results/`, so every number here can be recomputed with `evaluate.py`.
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+
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| model | correct, no trace | correct, with trace | gain | 95% interval of the gain | spread across repeats |
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|---|---|---|---|---|---|
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| qwen2.5:3b-instruct | 31.3 % | 53.3 % | **+22.0 pt** | +14.3 … +30.3 | 6.8 and 8.9 pt |
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| qwen2.5:7b-instruct | 50.0 % | 63.7 % | **+13.7 pt** | +5.7 … +22.3 | 4.7 and 3.0 pt |
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| qwen2.5:14b-instruct | 61.7 % | 83.7 % | **+22.0 pt** | +11.7 … +32.7 | 2.4 and 2.2 pt |
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| qwen2.5:32b-instruct | 67.7 % | 94.0 % | **+26.3 pt** | +16.0 … +37.7 | 1.5 and 0.9 pt |
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Confidently wrong answers — the ones that matter, because they are claims about
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a path the program never took:
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| model | wrong, no trace | wrong, with trace | difference | 95% interval |
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|---|---|---|---|---|
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| qwen2.5:3b-instruct | 39.3 % | 42.7 % | +3.3 pt | −8.0 … +16.0 |
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| qwen2.5:7b-instruct | 48.3 % | 36.3 % | −12.0 pt | −20.0 … −4.7 |
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| qwen2.5:14b-instruct | 38.3 % | 16.3 % | −22.0 pt | −32.7 … −11.7 |
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| qwen2.5:32b-instruct | 32.3 % | 6.0 % | −26.3 pt | −37.7 … −16.0 |
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**Does the gain grow with model size? On this ladder it holds.** Every one of the
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four intervals excludes zero, so the gain is real at every size. But the
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intervals overlap heavily, and a paired resampling of the difference between the
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gains gives **+4.3 pt for 32b over 3b, interval −5.7 … +14.7** — that covers
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zero. The ladder does not establish a trend either way. What it does rule out,
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for these four models, is the interesting negative case: the gain does not
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disappear at the top. The largest model still answers only 67.7 % correctly
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without the trace, so at this scale the trace is not something reasoning
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replaces.
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Two honest caveats. The 7b row is the odd one out — its gain is the smallest of
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the four, and it is the only model that makes no use of the trace on
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`call_count`. And 32 billion parameters at 4-bit is not a frontier model; this
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dataset says nothing about what a much larger or a reasoning-trained model would
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do.
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**The gain is narrow, and it sits in one place.** Split by what the question
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asks:
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| model | value questions (call count, return, argument) | "was the function called at all" |
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|---|---|---|
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| qwen2.5:3b-instruct | 25.0 → 48.8 % | 61.8 → 78.2 % |
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| qwen2.5:7b-instruct | 38.3 → 54.6 % | 100 → 100 % |
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| qwen2.5:14b-instruct | 52.1 → 79.6 % | 100 → 100 % |
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| qwen2.5:32b-instruct | 59.6 → 92.5 % | 100 → 100 % |
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From 7b upwards, whether a function ran at all is already answered from the
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source, and the trace adds exactly nothing there. Everything the trace buys is
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on questions about values.
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By language, the gain is also uneven: Go is the language where models do best
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without the trace and gain least from it (98 → 100 % at 32b), while Python and
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Elixir gain most. Fifty answers per language per setting is an indication, not a
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conclusion.
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Cost of the trace, measured on this run: the traces are 3.7× the size of the
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sources; the median prompt goes from 1623 to 5919 characters; answer latency is
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unchanged within noise (for example 8.64 s versus 8.69 s at 32b).
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+
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## Reproducing
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```sh
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python run_models.py data/test.jsonl answers-14b.jsonl qwen2.5:14b-instruct
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python evaluate.py data/test.jsonl answers-14b.jsonl
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python summary.py data/test.jsonl "3b=answers-3b.jsonl" "32b=answers-32b.jsonl"
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```
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`run_models.py` sends each prompt to a model through the command in
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`OUROBOROS_MODEL_CMD` and is included in the source project; `evaluate.py` and
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`summary.py` are in this repository.
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## Origin
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The traces come from [ouroboros](https://github.com/digitable-lol/ouroboros), a
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call-tracing tool: each program is wrapped by `ouroboros wrap-file`, run once,
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and the trace is the file it leaves behind. The wrapped and the unwrapped run
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must print exactly the same thing, and the build fails if they do not.
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The experiment this dataset was extracted from lives in that repository under
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`scripts/measure/trace-help/`; the dataset builder under `scripts/dataset/`.
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License: BSD 2-Clause, same as the source project.
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---
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## По-русски, коротко
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Двенадцать программ на шести языках, каждая запущена один раз. К каждой пять
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вопросов о том, что случилось **на этом самом запуске**: сколько раз вызвана
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функция, что вернул такой-то вызов, с чем позвали, вызывалась ли вообще, кто
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бросил исключение. Шестьдесят записей, у каждой два письма — без трассы и с
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трассой; всё остальное в них совпадает знак в знак.
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Правильные ответы записаны руками при сочинении программ и сверены с настоящим
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прогоном: сборщик достаёт ту же величину из трассы и отказывается собирать
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набор, если они разошлись. Все шестьдесят сошлись.
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+
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Часть `test` — это и есть набор, все 60 записей. `train` и `validation` — те же
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60, разрезанные по программам пополам, чтобы у желающего был неутекающий разрез.
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**Двенадцати программ для обучения мало**: дообучение на них даст модель,
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заучившую двенадцать программ. Чтобы на наборе можно было честно учить, программ
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надо на порядок больше — около 120–150, и это примерно 600–750 ключей, каждый
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написанный руками и сверенный с прогоном.
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Что вышло на четырёх размерах qwen2.5-instruct: прибавка от трассы есть у всех
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четырёх (3b +22,0; 7b +13,7; 14b +22,0; 32b +26,3 пункта), и ни один
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95-процентный промежуток не накрывает ноль. Растёт ли прибавка с размером —
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сказать нельзя: разница прибавок между 32b и 3b равна +4,3 пункта с промежутком
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−5,7 … +14,7, ноль внутри. Зато видно, чего **не** случилось: у самой большой из
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проверенных моделей прибавка не пропала, и без трассы она отвечает верно лишь в
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67,7 % случаев. Польза узкая: на вопросе «вызывалась ли функция вообще» начиная
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с 7b трасса не даёт ничего, вся прибавка сидит на вопросах о значениях.
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measure-declared.ru.md
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# Мера, объявленная до того, как посмотрели на числа
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+
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Записано 30 августа 2026 года, до разбора хоть одного ответа хоть одной модели.
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Ни одно правило ниже после этого не менялось.
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+
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## Вопрос
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| 7 |
+
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| 8 |
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Прибавка от трассы растёт, падает или держится с размером модели?
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| 9 |
+
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| 10 |
+
## Лестница моделей
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+
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+
Одно семейство, одно поколение, одна квантизация (Q4_K_M, ollama по умолчанию),
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+
меняется только размер:
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| 14 |
+
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| 15 |
+
qwen2.5:3b-instruct заметно меньше нынешней
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| 16 |
+
qwen2.5:7b-instruct меньше нынешней
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| 17 |
+
qwen2.5:14b-instruct нынешняя
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| 18 |
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qwen2.5:32b-instruct заметно больше нынешней
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| 19 |
+
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| 20 |
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Семейство выбрано до прогонов по двум признакам: у qwen2.5-instruct есть все
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| 21 |
+
четыре размера, и ни один из них не рассуждает про себя, поэтому ограничение
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| 22 |
+
ответа в 300 знаков одинаково честно ко всем. Если какой-то размер не удастся
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| 23 |
+
скачать или он не влезет в память, об этом пишется прямо, и лестница остаётся
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| 24 |
+
короче — подменять размер моделью из другого семейства нельзя.
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| 25 |
+
|
| 26 |
+
## Что меряется
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| 27 |
+
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| 28 |
+
1. **Доля верных ответов** в каждой обстановке (без трассы, с трассой) —
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| 29 |
+
главная мера.
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| 30 |
+
2. **Прибавка** — разница долей верных, в пунктах: с трассой минус без трассы.
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| 31 |
+
Это то самое число, чей ход по лестнице размеров и есть ответ на вопрос.
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| 32 |
+
3. **Доля уверенно неверных**: ответ неверен и при этом не «не знаю».
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| 33 |
+
4. **Доля «не знаю»**.
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| 34 |
+
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| 35 |
+
## Разброс
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| 36 |
+
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| 37 |
+
95-процентный промежуток пересборкой по программам: из двенадцати программ
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| 38 |
+
10 000 раз набирается новая дюжина с возвратом, доли считаются заново, границы —
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| 39 |
+
2,5-й и 97,5-й проценты. Набирается программа целиком, потому что пять вопросов
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| 40 |
+
к одной программе связаны между собой. Обе обстановки отвечают на одни и те же
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| 41 |
+
вопросы, поэтому разница внутри пересборки парная.
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| 42 |
+
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| 43 |
+
Отдельно — стандартное отклонение доли верных между пятью повторами.
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| 44 |
+
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| 45 |
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## Порог
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| 46 |
+
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| 47 |
+
Прибавка считается находкой, только если её 95-процентный промежуток не
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| 48 |
+
накрывает ноль. Накрывает — так и пишется: прибавки на этом размере не видно.
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| 49 |
+
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| 50 |
+
Ответ «у большой модели прибавки нет» — полноценный результат и печатается как
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| 51 |
+
есть.
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| 52 |
+
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| 53 |
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## Настройки прогона (те же, что в исходном опыте)
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| 54 |
+
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| 55 |
+
температура 0,8
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| 56 |
+
зерно номер повтора, одинаковое в обеих обстановках
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| 57 |
+
окно 16 384
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+
длина ответа не более 300
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| 59 |
+
повторов 5
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| 60 |
+
ответов на модель 60 вопросов x 2 обстановки x 5 повторов = 600
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| 61 |
+
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| 62 |
+
Письма берутся из набора как есть, знак в знак теми же, что в исходном опыте.
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| 63 |
+
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| 64 |
+
## Разбор ответа
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| 65 |
+
|
| 66 |
+
Правила разбора взяты из исходного опыта без изменений: последняя строка со
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| 67 |
+
словом `ОТВЕТ:`, приведение к общему виду, совпадение с принятым ответом либо
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| 68 |
+
единственное число в тексте либо «да»/«нет» в начале; «не знаю» и его родня —
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| 69 |
+
отказ; всё прочее — уверенно неверный ответ; нет строки `ОТВЕТ:` — тоже
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| 70 |
+
уверенно неверный.
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| 71 |
+
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| 72 |
+
## Слепота
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| 73 |
+
|
| 74 |
+
Сверяет `evaluate.py`; в его сверяющую часть идут только принятые ответы и текст
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| 75 |
+
ответа модели. Метки об обстановке там нет: записи перемешиваются до сверки, а
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+
поле `setting` приклеивается обратно только н�� счёт.
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results/answers-32b.jsonl
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| 1 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1648, "seconds": 30.831, "output": "ОТВЕТ: 2"}
|
| 2 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4807, "seconds": 35.665, "output": "ОТВЕТ: 2"}
|
| 3 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1632, "seconds": 7.313, "output": "ОТВЕТ: 475"}
|
| 4 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4791, "seconds": 7.65, "output": "ОТВЕТ: 155"}
|
| 5 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1665, "seconds": 7.599, "output": "ОТВЕТ: нет"}
|
| 6 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4824, "seconds": 7.083, "output": "ОТВЕТ: нет"}
|
| 7 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1635, "seconds": 6.652, "output": "ОТВЕТ: нет"}
|
| 8 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4794, "seconds": 6.657, "output": "ОТВЕТ: false"}
|
| 9 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1626, "seconds": 7.247, "output": "ОТВЕТ: 3245"}
|
| 10 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4785, "seconds": 7.822, "output": "ОТВЕТ: 3245"}
|
| 11 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1691, "seconds": 7.764, "output": "ОТВЕТ: 5"}
|
| 12 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5351, "seconds": 8.008, "output": "ОТВЕТ: 5"}
|
| 13 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1680, "seconds": 8.307, "output": "ОТВЕТ: 1024"}
|
| 14 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5340, "seconds": 8.778, "output": "ОТВЕТ: 1024"}
|
| 15 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1704, "seconds": 8.556, "output": "ОТВЕТ: нет"}
|
| 16 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5364, "seconds": 7.885, "output": "ОТВЕТ: нет"}
|
| 17 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1687, "seconds": 7.827, "output": "ОТВЕТ: 2"}
|
| 18 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5347, "seconds": 7.989, "output": "ОТВЕТ: 2"}
|
| 19 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1663, "seconds": 8.202, "output": "ОТВЕТ: 9001"}
|
| 20 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5323, "seconds": 8.679, "output": "ОТВЕТ: 9000"}
|
| 21 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1333, "seconds": 8.166, "output": "ОТВЕТ: 102"}
|
| 22 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6914, "seconds": 9.673, "output": "ОТВЕТ: 102"}
|
| 23 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1335, "seconds": 9.362, "output": "ОТВЕТ: 2"}
|
| 24 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6916, "seconds": 9.003, "output": "ОТВЕТ: 4"}
|
| 25 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1353, "seconds": 8.869, "output": "ОТВЕТ: нет"}
|
| 26 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6934, "seconds": 8.683, "output": "ОТВЕТ: нет"}
|
| 27 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1334, "seconds": 8.647, "output": "ОТВЕТ: F"}
|
| 28 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6915, "seconds": 8.653, "output": "ОТВЕТ: F"}
|
| 29 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1334, "seconds": 8.642, "output": "ОТВЕТ: false"}
|
| 30 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6915, "seconds": 8.713, "output": "ОТВЕТ: false"}
|
| 31 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1603, "seconds": 9.486, "output": "ОТВЕТ: 6"}
|
| 32 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6448, "seconds": 9.449, "output": "ОТВЕТ: 6"}
|
| 33 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1600, "seconds": 9.373, "output": "ОТВЕТ: 3"}
|
| 34 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6445, "seconds": 9.377, "output": "ОТВЕТ: 4"}
|
| 35 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1620, "seconds": 9.233, "output": "ОТВЕТ: нет"}
|
| 36 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6465, "seconds": 9.093, "output": "ОТВЕТ: нет"}
|
| 37 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1598, "seconds": 9.244, "output": "ОТВЕТ: 0"}
|
| 38 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6443, "seconds": 9.394, "output": "ОТВЕТ: 0"}
|
| 39 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1575, "seconds": 9.385, "output": "ОТВЕТ: 3"}
|
| 40 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6420, "seconds": 9.366, "output": "ОТВЕТ: 3"}
|
| 41 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1355, "seconds": 8.857, "output": "ОТВЕТ: 1"}
|
| 42 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5120, "seconds": 7.419, "output": "ОТВЕТ: 3"}
|
| 43 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1353, "seconds": 7.733, "output": "ОТВЕТ: 120"}
|
| 44 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5118, "seconds": 7.867, "output": "ОТВЕТ: 12"}
|
| 45 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1374, "seconds": 7.402, "output": "ОТВЕТ: нет"}
|
| 46 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5139, "seconds": 7.081, "output": "ОТВЕТ: нет"}
|
| 47 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1361, "seconds": 7.692, "output": "ОТВЕТ: 3680"}
|
| 48 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5126, "seconds": 8.369, "output": "ОТВЕТ: 3738"}
|
| 49 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1332, "seconds": 8.37, "output": "ОТВЕТ: 4038"}
|
| 50 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5097, "seconds": 8.378, "output": "ОТВЕТ: 4038"}
|
| 51 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1499, "seconds": 7.947, "output": "ОТВЕТ: 2"}
|
| 52 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7121, "seconds": 9.62, "output": "ОТВЕТ: 5"}
|
| 53 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1506, "seconds": 9.594, "output": "ОТВЕТ: 6"}
|
| 54 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7128, "seconds": 9.531, "output": "ОТВЕТ: 4"}
|
| 55 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1503, "seconds": 9.537, "output": "ОТВЕТ: 7"}
|
| 56 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7125, "seconds": 9.896, "output": "ОТВЕТ: 200"}
|
| 57 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1504, "seconds": 10.065, "output": "ОТВЕТ: 50"}
|
| 58 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7126, "seconds": 10.066, "output": "ОТВЕТ: 100"}
|
| 59 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1485, "seconds": 10.233, "output": "ОТВЕТ: 215"}
|
| 60 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7107, "seconds": 10.311, "output": "ОТВЕТ: 215"}
|
| 61 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1930, "seconds": 10.494, "output": "ОТВЕТ: 4"}
|
| 62 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6992, "seconds": 9.444, "output": "ОТВЕТ: 3"}
|
| 63 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1931, "seconds": 9.92, "output": "ОТВЕТ: 1800"}
|
| 64 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6993, "seconds": 10.376, "output": "ОТВЕТ: 8550"}
|
| 65 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1950, "seconds": 9.735, "output": "ОТВЕТ: нет"}
|
| 66 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7012, "seconds": 9.124, "output": "ОТВЕТ: нет"}
|
| 67 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1905, "seconds": 9.446, "output": "ОТВЕТ: 70"}
|
| 68 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6967, "seconds": 9.882, "output": "ОТВЕТ: 360"}
|
| 69 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1933, "seconds": 10.208, "output": "ОТВЕТ: 1800"}
|
| 70 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6995, "seconds": 10.396, "output": "ОТВЕТ: 1080"}
|
| 71 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1655, "seconds": 9.894, "output": "ОТВЕТ: 4"}
|
| 72 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6217, "seconds": 8.738, "output": "ОТВЕТ: 4"}
|
| 73 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1655, "seconds": 8.732, "output": "ОТВЕТ: 2"}
|
| 74 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6217, "seconds": 8.621, "output": "ОТВЕТ: 2"}
|
| 75 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1674, "seconds": 8.733, "output": "ОТВЕТ: нет"}
|
| 76 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6236, "seconds": 8.637, "output": "ОТВЕТ: нет"}
|
| 77 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1648, "seconds": 8.562, "output": "ОТВЕТ: 20"}
|
| 78 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6210, "seconds": 8.858, "output": "ОТВЕТ: 20"}
|
| 79 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1637, "seconds": 8.798, "output": "ОТВЕТ: 15"}
|
| 80 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6199, "seconds": 8.81, "output": "ОТВЕТ: 15"}
|
| 81 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1733, "seconds": 8.827, "output": "ОТВЕТ: 2"}
|
| 82 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5590, "seconds": 8.001, "output": "ОТВЕТ: 2"}
|
| 83 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1725, "seconds": 8.637, "output": "ОТВЕТ: 400"}
|
| 84 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5582, "seconds": 9.003, "output": "ОТВЕТ: 200"}
|
| 85 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1748, "seconds": 8.225, "output": "ОТВЕТ: нет"}
|
| 86 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5605, "seconds": 7.672, "output": "ОТВЕТ: нет"}
|
| 87 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1732, "seconds": 7.988, "output": "ОТВЕТ: перегруз"}
|
| 88 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5589, "seconds": 8.379, "output": "ОТВЕТ: перегруз"}
|
| 89 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1782, "seconds": 8.073, "output": "ОТВЕТ: run"}
|
| 90 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5639, "seconds": 7.688, "output": "ОТВЕТ: run"}
|
| 91 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1766, "seconds": 7.505, "output": "ОТВЕТ: 4"}
|
| 92 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7822, "seconds": 9.273, "output": "ОТВЕТ: 5"}
|
| 93 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1764, "seconds": 9.243, "output": "ОТВЕТ: 2"}
|
| 94 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7820, "seconds": 9.213, "output": "ОТВЕТ: 2"}
|
| 95 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1781, "seconds": 9.288, "output": "ОТВЕТ: да"}
|
| 96 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7837, "seconds": 9.126, "output": "ОТВЕТ: да"}
|
| 97 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1756, "seconds": 8.769, "output": "ОТВЕТ: false"}
|
| 98 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7812, "seconds": 8.756, "output": "ОТВЕТ: false"}
|
| 99 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1753, "seconds": 8.901, "output": "ОТВЕТ: /health"}
|
| 100 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7809, "seconds": 9.131, "output": "ОТВЕТ: /health"}
|
| 101 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1481, "seconds": 9.119, "output": "ОТВЕТ: 4"}
|
| 102 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4900, "seconds": 7.374, "output": "ОТВЕТ: 4"}
|
| 103 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1477, "seconds": 7.381, "output": "ОТВЕТ: 5"}
|
| 104 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4896, "seconds": 7.273, "output": "ОТВЕТ: 0"}
|
| 105 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1496, "seconds": 7.117, "output": "ОТВЕТ: нет"}
|
| 106 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4915, "seconds": 7.002, "output": "ОТВЕТ: нет"}
|
| 107 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1461, "seconds": 7.283, "output": "ОТВЕТ: 50"}
|
| 108 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4880, "seconds": 7.599, "output": "ОТВЕТ: 50"}
|
| 109 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1456, "seconds": 7.465, "output": "ОТВЕТ: 9"}
|
| 110 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4875, "seconds": 7.35, "output": "ОТВЕТ: 9"}
|
| 111 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1526, "seconds": 7.381, "output": "ОТВЕТ: 3"}
|
| 112 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5600, "seconds": 8.078, "output": "ОТВЕТ: 6"}
|
| 113 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1526, "seconds": 8.055, "output": "ОТВЕТ: 3"}
|
| 114 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5600, "seconds": 8.038, "output": "ОТВЕТ: 3"}
|
| 115 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1546, "seconds": 7.881, "output": "ОТВЕТ: нет"}
|
| 116 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5620, "seconds": 7.772, "output": "ОТВЕТ: нет"}
|
| 117 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1524, "seconds": 8.088, "output": "ОТВЕТ: 17"}
|
| 118 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5598, "seconds": 8.381, "output": "ОТВЕТ: 51"}
|
| 119 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1519, "seconds": 8.235, "output": "ОТВЕТ: 4"}
|
| 120 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5593, "seconds": 8.061, "output": "ОТВЕТ: 4"}
|
| 121 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1648, "seconds": 8.382, "output": "ОТВЕТ: 2"}
|
| 122 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4807, "seconds": 7.067, "output": "ОТВЕТ: 2"}
|
| 123 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1632, "seconds": 7.231, "output": "ОТВЕТ: 450"}
|
| 124 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4791, "seconds": 7.52, "output": "ОТВЕТ: 155"}
|
| 125 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1665, "seconds": 7.488, "output": "ОТВЕТ: нет"}
|
| 126 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4824, "seconds": 7.046, "output": "ОТВЕТ: нет"}
|
| 127 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1635, "seconds": 6.609, "output": "ОТВЕТ: нет"}
|
| 128 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4794, "seconds": 6.61, "output": "ОТВЕТ: false"}
|
| 129 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1626, "seconds": 7.228, "output": "ОТ��ЕТ: 3245"}
|
| 130 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4785, "seconds": 7.881, "output": "ОТВЕТ: 3245"}
|
| 131 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1691, "seconds": 7.814, "output": "ОТВЕТ: 5"}
|
| 132 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5351, "seconds": 8.031, "output": "ОТВЕТ: 5"}
|
| 133 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1680, "seconds": 8.323, "output": "ОТВЕТ: 1024"}
|
| 134 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5340, "seconds": 8.795, "output": "ОТВЕТ: 1024"}
|
| 135 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1704, "seconds": 8.565, "output": "ОТВЕТ: нет"}
|
| 136 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5364, "seconds": 7.862, "output": "ОТВЕТ: нет"}
|
| 137 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1687, "seconds": 7.787, "output": "ОТВЕТ: 2"}
|
| 138 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5347, "seconds": 7.956, "output": "ОТВЕТ: 2"}
|
| 139 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1663, "seconds": 8.203, "output": "ОТВЕТ: 9000"}
|
| 140 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5323, "seconds": 8.727, "output": "ОТВЕТ: 9000"}
|
| 141 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1333, "seconds": 8.215, "output": "ОТВЕТ: 102"}
|
| 142 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6914, "seconds": 9.639, "output": "ОТВЕТ: 102"}
|
| 143 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1335, "seconds": 9.313, "output": "ОТВЕТ: 2"}
|
| 144 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6916, "seconds": 9.038, "output": "ОТВЕТ: 4"}
|
| 145 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1353, "seconds": 8.921, "output": "ОТВЕТ: нет"}
|
| 146 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6934, "seconds": 8.793, "output": "ОТВЕТ: нет"}
|
| 147 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1334, "seconds": 8.742, "output": "ОТВЕТ: F"}
|
| 148 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6915, "seconds": 8.683, "output": "ОТВЕТ: F"}
|
| 149 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1334, "seconds": 8.685, "output": "ОТВЕТ: нет"}
|
| 150 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6915, "seconds": 8.728, "output": "ОТВЕТ: false"}
|
| 151 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1603, "seconds": 9.444, "output": "ОТВЕТ: 6"}
|
| 152 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6448, "seconds": 9.395, "output": "ОТВЕТ: 5"}
|
| 153 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1600, "seconds": 9.357, "output": "ОТВЕТ: 3"}
|
| 154 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6445, "seconds": 9.283, "output": "ОТВЕТ: 4"}
|
| 155 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1620, "seconds": 9.152, "output": "ОТВЕТ: нет"}
|
| 156 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6465, "seconds": 9.113, "output": "ОТВЕТ: нет"}
|
| 157 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1598, "seconds": 9.239, "output": "ОТВЕТ: 0"}
|
| 158 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6443, "seconds": 9.362, "output": "ОТВЕТ: 0"}
|
| 159 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1575, "seconds": 9.382, "output": "ОТВЕТ: 3"}
|
| 160 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6420, "seconds": 9.374, "output": "ОТВЕТ: 3"}
|
| 161 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1355, "seconds": 8.853, "output": "ОТВЕТ: 2"}
|
| 162 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5120, "seconds": 7.412, "output": "ОТВЕТ: 3"}
|
| 163 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1353, "seconds": 7.732, "output": "ОТВЕТ: 120"}
|
| 164 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5118, "seconds": 7.914, "output": "ОТВЕТ: 12"}
|
| 165 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1374, "seconds": 7.464, "output": "ОТВЕТ: нет"}
|
| 166 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5139, "seconds": 7.153, "output": "ОТВЕТ: нет"}
|
| 167 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1361, "seconds": 7.762, "output": "ОТВЕТ: 3780"}
|
| 168 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5126, "seconds": 8.393, "output": "ОТВЕТ: 3738"}
|
| 169 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1332, "seconds": 8.388, "output": "ОТВЕТ: 4038"}
|
| 170 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5097, "seconds": 8.404, "output": "ОТВЕТ: 4038"}
|
| 171 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1499, "seconds": 8.015, "output": "ОТВЕТ: 3"}
|
| 172 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7121, "seconds": 9.665, "output": "ОТВЕТ: 5"}
|
| 173 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1506, "seconds": 9.599, "output": "ОТВЕТ: 4"}
|
| 174 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7128, "seconds": 9.581, "output": "ОТВЕТ: 4"}
|
| 175 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1503, "seconds": 9.893, "output": "ОТВЕТ: 280"}
|
| 176 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7125, "seconds": 10.342, "output": "ОТВЕТ: 200"}
|
| 177 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1504, "seconds": 10.347, "output": "ОТВЕТ: 100"}
|
| 178 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7126, "seconds": 10.33, "output": "ОТВЕТ: 100"}
|
| 179 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1485, "seconds": 10.366, "output": "ОТВЕТ: 215"}
|
| 180 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7107, "seconds": 10.34, "output": "ОТВЕТ: 215"}
|
| 181 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1930, "seconds": 10.507, "output": "ОТВЕТ: 3"}
|
| 182 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6992, "seconds": 9.512, "output": "ОТВЕТ: 3"}
|
| 183 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1931, "seconds": 10.006, "output": "ОТВЕТ: 1080"}
|
| 184 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6993, "seconds": 10.479, "output": "ОТВЕТ: 8550"}
|
| 185 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1950, "seconds": 9.843, "output": "ОТВЕТ: нет"}
|
| 186 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7012, "seconds": 9.145, "output": "ОТВЕТ: нет"}
|
| 187 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1905, "seconds": 9.756, "output": "ОТВЕТ: 1560"}
|
| 188 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6967, "seconds": 10.238, "output": "ОТВЕТ: 360"}
|
| 189 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1933, "seconds": 10.227, "output": "ОТВЕТ: 2400"}
|
| 190 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6995, "seconds": 10.375, "output": "ОТВЕТ: 1080"}
|
| 191 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1655, "seconds": 9.892, "output": "ОТВЕТ: 4"}
|
| 192 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6217, "seconds": 8.693, "output": "ОТВЕТ: 4"}
|
| 193 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1655, "seconds": 8.707, "output": "ОТВЕТ: 2"}
|
| 194 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6217, "seconds": 8.685, "output": "ОТВЕТ: 2"}
|
| 195 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1674, "seconds": 8.777, "output": "ОТВЕТ: нет"}
|
| 196 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6236, "seconds": 8.648, "output": "ОТВЕТ: нет"}
|
| 197 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1648, "seconds": 8.569, "output": "ОТВЕТ: 20"}
|
| 198 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6210, "seconds": 8.906, "output": "ОТВЕТ: 20"}
|
| 199 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1637, "seconds": 8.847, "output": "ОТВЕТ: 15"}
|
| 200 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6199, "seconds": 8.818, "output": "ОТВЕТ: 15"}
|
| 201 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1733, "seconds": 8.856, "output": "ОТВЕТ: 2"}
|
| 202 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5590, "seconds": 85.51, "output": "ОТВЕТ: 2"}
|
| 203 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1725, "seconds": 79.871, "output": "ОТВЕТ: 400"}
|
| 204 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5582, "seconds": 7.841, "output": "ОТВЕТ: 200"}
|
| 205 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1748, "seconds": 4.5, "output": "ОТВЕТ: нет"}
|
| 206 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5605, "seconds": 7.772, "output": "ОТВЕТ: нет"}
|
| 207 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1732, "seconds": 8.093, "output": "ОТВЕТ: перегруз"}
|
| 208 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5589, "seconds": 8.632, "output": "ОТВЕТ: 'перегруз'"}
|
| 209 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1782, "seconds": 8.313, "output": "ОТВЕТ: run"}
|
| 210 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5639, "seconds": 7.733, "output": "ОТВЕТ: run"}
|
| 211 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1766, "seconds": 7.562, "output": "ОТВЕТ: 4"}
|
| 212 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7822, "seconds": 9.251, "output": "ОТВЕТ: 2"}
|
| 213 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1764, "seconds": 9.237, "output": "ОТВЕТ: 2"}
|
| 214 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7820, "seconds": 9.228, "output": "ОТВЕТ: 2"}
|
| 215 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1781, "seconds": 9.277, "output": "ОТВЕТ: да"}
|
| 216 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7837, "seconds": 9.144, "output": "ОТВЕТ: да"}
|
| 217 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1756, "seconds": 8.792, "output": "ОТВЕТ: false"}
|
| 218 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7812, "seconds": 8.733, "output": "ОТВЕТ: false"}
|
| 219 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1753, "seconds": 8.895, "output": "ОТВЕТ: /health"}
|
| 220 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7809, "seconds": 9.022, "output": "ОТВЕТ: /health"}
|
| 221 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1481, "seconds": 8.985, "output": "ОТВЕТ: 4"}
|
| 222 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4900, "seconds": 7.346, "output": "ОТВЕТ: 4"}
|
| 223 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1477, "seconds": 7.373, "output": "ОТВЕТ: 5"}
|
| 224 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4896, "seconds": 7.318, "output": "ОТВЕТ: 0"}
|
| 225 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1496, "seconds": 7.169, "output": "ОТВЕТ: нет"}
|
| 226 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4915, "seconds": 7.085, "output": "ОТВЕТ: нет"}
|
| 227 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1461, "seconds": 7.367, "output": "ОТВЕТ: 50"}
|
| 228 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4880, "seconds": 7.609, "output": "ОТВЕТ: 50"}
|
| 229 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1456, "seconds": 7.435, "output": "ОТВЕТ: 9"}
|
| 230 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4875, "seconds": 7.28, "output": "ОТВЕТ: 9"}
|
| 231 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1526, "seconds": 7.332, "output": "ОТВЕТ: 3"}
|
| 232 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5600, "seconds": 8.088, "output": "ОТВЕТ: 4"}
|
| 233 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1526, "seconds": 8.077, "output": "ОТВЕТ: 3"}
|
| 234 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5600, "seconds": 8.025, "output": "ОТВЕТ: 3"}
|
| 235 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1546, "seconds": 7.872, "output": "ОТВЕТ: нет"}
|
| 236 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5620, "seconds": 7.806, "output": "ОТВЕТ: нет"}
|
| 237 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1524, "seconds": 8.101, "output": "ОТВЕТ: 31"}
|
| 238 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5598, "seconds": 8.346, "output": "ОТВЕТ: 51"}
|
| 239 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1519, "seconds": 8.2, "output": "ОТВЕТ: 4"}
|
| 240 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5593, "seconds": 8.07, "output": "ОТВЕТ: 4"}
|
| 241 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1648, "seconds": 8.459, "output": "ОТВЕТ: 2"}
|
| 242 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4807, "seconds": 7.176, "output": "ОТВЕТ: 2"}
|
| 243 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1632, "seconds": 7.285, "output": "ОТВЕТ: 450"}
|
| 244 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4791, "seconds": 7.599, "output": "ОТВЕТ: 155"}
|
| 245 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1665, "seconds": 7.545, "output": "ОТВЕТ: нет"}
|
| 246 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4824, "seconds": 7.052, "output": "ОТВЕТ: нет"}
|
| 247 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1635, "seconds": 6.641, "output": "ОТВЕТ: нет"}
|
| 248 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4794, "seconds": 6.612, "output": "ОТВЕТ: false"}
|
| 249 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1626, "seconds": 7.199, "output": "ОТВЕТ: 3245"}
|
| 250 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4785, "seconds": 7.807, "output": "ОТВЕТ: 3245"}
|
| 251 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1691, "seconds": 7.762, "output": "ОТВЕТ: 5"}
|
| 252 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5351, "seconds": 7.969, "output": "ОТВЕТ: 5"}
|
| 253 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1680, "seconds": 8.28, "output": "ОТВЕТ: 1024"}
|
| 254 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5340, "seconds": 8.789, "output": "ОТВЕТ: 1024"}
|
| 255 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1704, "seconds": 8.533, "output": "ОТВЕТ: нет"}
|
| 256 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5364, "seconds": 7.891, "output": "ОТВЕТ: нет"}
|
| 257 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1687, "seconds": 7.832, "output": "ОТВЕТ: 2"}
|
| 258 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5347, "seconds": 7.999, "output": "ОТВЕТ: 2"}
|
| 259 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1663, "seconds": 8.228, "output": "ОТВЕТ: 9000"}
|
| 260 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5323, "seconds": 8.715, "output": "ОТВЕТ: 9000"}
|
| 261 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1333, "seconds": 8.207, "output": "ОТВЕТ: 102"}
|
| 262 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6914, "seconds": 9.645, "output": "ОТВЕТ: 102"}
|
| 263 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1335, "seconds": 9.34, "output": "ОТВЕТ: 2"}
|
| 264 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6916, "seconds": 9.027, "output": "ОТВЕТ: 4"}
|
| 265 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1353, "seconds": 8.886, "output": "ОТВЕТ: нет"}
|
| 266 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6934, "seconds": 8.768, "output": "ОТВЕТ: нет"}
|
| 267 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1334, "seconds": 8.746, "output": "ОТВЕТ: F"}
|
| 268 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6915, "seconds": 8.677, "output": "ОТВЕТ: F"}
|
| 269 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1334, "seconds": 8.679, "output": "ОТВЕТ: нет"}
|
| 270 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6915, "seconds": 8.724, "output": "ОТВЕТ: false"}
|
| 271 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1603, "seconds": 9.395, "output": "ОТВЕТ: 6"}
|
| 272 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6448, "seconds": 9.357, "output": "ОТВЕТ: 5"}
|
| 273 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1600, "seconds": 9.344, "output": "ОТВЕТ: 3"}
|
| 274 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6445, "seconds": 9.375, "output": "ОТВЕТ: 4"}
|
| 275 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1620, "seconds": 9.227, "output": "ОТВЕТ: нет"}
|
| 276 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6465, "seconds": 9.057, "output": "ОТВЕТ: нет"}
|
| 277 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1598, "seconds": 9.219, "output": "ОТВЕТ: 0"}
|
| 278 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6443, "seconds": 9.384, "output": "ОТВЕТ: 0"}
|
| 279 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1575, "seconds": 9.385, "output": "ОТВЕТ: 3"}
|
| 280 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6420, "seconds": 9.372, "output": "ОТВЕТ: 3"}
|
| 281 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1355, "seconds": 8.859, "output": "ОТВЕТ: 2"}
|
| 282 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5120, "seconds": 7.425, "output": "ОТВЕТ: 3"}
|
| 283 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1353, "seconds": 7.739, "output": "ОТВЕТ: 120"}
|
| 284 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5118, "seconds": 7.847, "output": "ОТВЕТ: 12"}
|
| 285 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1374, "seconds": 7.384, "output": "ОТВЕТ: нет"}
|
| 286 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5139, "seconds": 7.105, "output": "ОТВЕТ: нет"}
|
| 287 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1361, "seconds": 7.717, "output": "ОТВЕТ: 3780"}
|
| 288 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5126, "seconds": 8.338, "output": "ОТВЕТ: 3738"}
|
| 289 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1332, "seconds": 8.349, "output": "ОТВЕТ: 4038"}
|
| 290 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5097, "seconds": 8.398, "output": "ОТВЕТ: 4038"}
|
| 291 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1499, "seconds": 7.95, "output": "ОТВЕТ: 3"}
|
| 292 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7121, "seconds": 9.614, "output": "ОТВЕТ: 5"}
|
| 293 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1506, "seconds": 9.591, "output": "ОТВЕТ: 4"}
|
| 294 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7128, "seconds": 9.545, "output": "ОТВЕТ: 4"}
|
| 295 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1503, "seconds": 9.873, "output": "ОТВЕТ: 280"}
|
| 296 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7125, "seconds": 10.25, "output": "ОТВЕТ: 200"}
|
| 297 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1504, "seconds": 10.259, "output": "ОТВЕТ: 100"}
|
| 298 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7126, "seconds": 10.274, "output": "ОТВЕТ: 100"}
|
| 299 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1485, "seconds": 10.27, "output": "ОТВЕТ: 215"}
|
| 300 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7107, "seconds": 10.286, "output": "ОТВЕТ: 215"}
|
| 301 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1930, "seconds": 10.483, "output": "ОТВЕТ: 3"}
|
| 302 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6992, "seconds": 9.449, "output": "ОТВЕТ: 3"}
|
| 303 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1931, "seconds": 9.923, "output": "ОТВЕТ: 1080"}
|
| 304 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6993, "seconds": 10.409, "output": "ОТВЕТ: 8550"}
|
| 305 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1950, "seconds": 9.786, "output": "ОТВЕТ: нет"}
|
| 306 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7012, "seconds": 9.159, "output": "ОТВЕТ: нет"}
|
| 307 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1905, "seconds": 9.616, "output": "ОТВЕТ: 150"}
|
| 308 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6967, "seconds": 10.123, "output": "ОТВЕТ: 360"}
|
| 309 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1933, "seconds": 10.265, "output": "ОТВЕТ: 2400"}
|
| 310 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6995, "seconds": 10.356, "output": "ОТВЕТ: 1080"}
|
| 311 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1655, "seconds": 9.874, "output": "ОТВЕТ: 4"}
|
| 312 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6217, "seconds": 8.699, "output": "ОТВЕТ: 4"}
|
| 313 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1655, "seconds": 8.716, "output": "ОТВЕТ: 2"}
|
| 314 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6217, "seconds": 8.676, "output": "ОТВЕТ: 2"}
|
| 315 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1674, "seconds": 8.778, "output": "ОТВЕТ: нет"}
|
| 316 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6236, "seconds": 8.645, "output": "ОТВЕТ: нет"}
|
| 317 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1648, "seconds": 8.544, "output": "ОТВЕТ: 20"}
|
| 318 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6210, "seconds": 8.86, "output": "ОТВЕТ: 20"}
|
| 319 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1637, "seconds": 8.807, "output": "ОТВЕТ: 15"}
|
| 320 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6199, "seconds": 8.811, "output": "ОТВЕТ: 15"}
|
| 321 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1733, "seconds": 8.859, "output": "ОТВЕТ: 2"}
|
| 322 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5590, "seconds": 8.032, "output": "ОТВЕТ: 2"}
|
| 323 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1725, "seconds": 8.741, "output": "ОТВЕТ: 400"}
|
| 324 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5582, "seconds": 9.113, "output": "ОТВЕТ: 200"}
|
| 325 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1748, "seconds": 8.249, "output": "ОТВЕТ: нет"}
|
| 326 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5605, "seconds": 7.738, "output": "ОТВЕТ: нет"}
|
| 327 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1732, "seconds": 8.026, "output": "ОТВЕТ: перегруз"}
|
| 328 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5589, "seconds": 8.665, "output": "ОТВЕТ: 'перегруз'"}
|
| 329 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1782, "seconds": 8.364, "output": "ОТВЕТ: run"}
|
| 330 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5639, "seconds": 7.742, "output": "ОТВЕТ: run"}
|
| 331 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1766, "seconds": 7.621, "output": "ОТВЕТ: 4"}
|
| 332 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7822, "seconds": 9.322, "output": "ОТВЕТ: 2"}
|
| 333 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1764, "seconds": 9.267, "output": "ОТВЕТ: 2"}
|
| 334 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7820, "seconds": 9.232, "output": "ОТВЕТ: 2"}
|
| 335 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1781, "seconds": 9.288, "output": "ОТВЕТ: да"}
|
| 336 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7837, "seconds": 9.181, "output": "ОТВЕТ: да"}
|
| 337 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1756, "seconds": 8.831, "output": "ОТВЕТ: false"}
|
| 338 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7812, "seconds": 8.781, "output": "ОТВЕТ: false"}
|
| 339 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1753, "seconds": 8.923, "output": "ОТВЕТ: /health"}
|
| 340 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7809, "seconds": 9.129, "output": "ОТВЕТ: /health"}
|
| 341 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1481, "seconds": 9.114, "output": "ОТВЕТ: 4"}
|
| 342 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4900, "seconds": 7.348, "output": "ОТВЕТ: 4"}
|
| 343 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1477, "seconds": 7.376, "output": "ОТВЕТ: 5"}
|
| 344 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4896, "seconds": 7.345, "output": "ОТВЕТ: 0"}
|
| 345 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1496, "seconds": 7.182, "output": "ОТВЕТ: нет"}
|
| 346 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4915, "seconds": 7.077, "output": "ОТВЕТ: нет"}
|
| 347 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1461, "seconds": 7.395, "output": "ОТВЕТ: 50"}
|
| 348 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4880, "seconds": 7.722, "output": "ОТВЕТ: 50"}
|
| 349 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1456, "seconds": 7.535, "output": "ОТВЕТ: 9"}
|
| 350 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4875, "seconds": 7.308, "output": "ОТВЕТ: 9"}
|
| 351 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1526, "seconds": 7.36, "output": "ОТВЕТ: 3"}
|
| 352 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5600, "seconds": 8.094, "output": "ОТВЕТ: 4"}
|
| 353 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1526, "seconds": 8.104, "output": "ОТВЕТ: 3"}
|
| 354 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5600, "seconds": 8.124, "output": "ОТВЕТ: 3"}
|
| 355 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1546, "seconds": 7.935, "output": "ОТВЕТ: нет"}
|
| 356 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5620, "seconds": 7.794, "output": "ОТВЕТ: нет"}
|
| 357 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1524, "seconds": 8.114, "output": "ОТВЕТ: 31"}
|
| 358 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5598, "seconds": 8.444, "output": "ОТВЕТ: 51"}
|
| 359 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1519, "seconds": 8.282, "output": "ОТВЕТ: 4"}
|
| 360 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5593, "seconds": 8.128, "output": "ОТВЕТ: 4"}
|
| 361 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1648, "seconds": 8.463, "output": "ОТВЕТ: 2"}
|
| 362 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4807, "seconds": 7.095, "output": "ОТВЕТ: 2"}
|
| 363 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1632, "seconds": 7.236, "output": "ОТВЕТ: 485"}
|
| 364 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4791, "seconds": 7.59, "output": "ОТВЕТ: 155"}
|
| 365 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1665, "seconds": 7.562, "output": "ОТВЕТ: нет"}
|
| 366 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4824, "seconds": 7.02, "output": "ОТВЕТ: нет"}
|
| 367 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1635, "seconds": 6.598, "output": "ОТВЕТ: нет"}
|
| 368 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4794, "seconds": 6.63, "output": "ОТВЕТ: false"}
|
| 369 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1626, "seconds": 7.225, "output": "ОТВЕТ: 3245"}
|
| 370 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4785, "seconds": 7.861, "output": "ОТВЕТ: 3245"}
|
| 371 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1691, "seconds": 7.784, "output": "ОТВЕТ: 5"}
|
| 372 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5351, "seconds": 7.955, "output": "ОТВЕТ: 5"}
|
| 373 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1680, "seconds": 8.279, "output": "ОТВЕТ: 1024"}
|
| 374 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5340, "seconds": 8.739, "output": "ОТВЕТ: 1024"}
|
| 375 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1704, "seconds": 8.508, "output": "ОТВЕТ: нет"}
|
| 376 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5364, "seconds": 7.893, "output": "ОТВЕТ: нет"}
|
| 377 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1687, "seconds": 7.823, "output": "ОТВЕТ: 2"}
|
| 378 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5347, "seconds": 7.999, "output": "ОТВЕТ: 2"}
|
| 379 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1663, "seconds": 8.236, "output": "ОТВЕТ: 9000"}
|
| 380 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5323, "seconds": 8.728, "output": "ОТВЕТ: 9000"}
|
| 381 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1333, "seconds": 8.191, "output": "ОТВЕТ: 102"}
|
| 382 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6914, "seconds": 9.703, "output": "ОТВЕТ: 102"}
|
| 383 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1335, "seconds": 9.407, "output": "ОТВЕТ: 2"}
|
| 384 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6916, "seconds": 8.995, "output": "ОТВЕТ: 4"}
|
| 385 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1353, "seconds": 8.858, "output": "ОТВЕТ: нет"}
|
| 386 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6934, "seconds": 8.718, "output": "ОТВЕТ: нет"}
|
| 387 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1334, "seconds": 8.677, "output": "ОТВЕТ: F"}
|
| 388 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6915, "seconds": 8.673, "output": "ОТВЕТ: F"}
|
| 389 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1334, "seconds": 8.687, "output": "ОТВЕТ: false"}
|
| 390 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6915, "seconds": 8.735, "output": "ОТВЕТ: false"}
|
| 391 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1603, "seconds": 9.415, "output": "ОТВЕТ: 6"}
|
| 392 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6448, "seconds": 9.371, "output": "ОТВЕТ: 6"}
|
| 393 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1600, "seconds": 9.368, "output": "ОТВЕТ: 3"}
|
| 394 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6445, "seconds": 9.32, "output": "ОТВЕТ: 4"}
|
| 395 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1620, "seconds": 9.147, "output": "ОТВЕТ: нет"}
|
| 396 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6465, "seconds": 9.09, "output": "ОТВЕТ: нет"}
|
| 397 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1598, "seconds": 9.262, "output": "ОТВЕТ: 0"}
|
| 398 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6443, "seconds": 9.377, "output": "ОТВЕТ: 0"}
|
| 399 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1575, "seconds": 9.377, "output": "ОТВЕТ: 3"}
|
| 400 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6420, "seconds": 9.382, "output": "ОТВЕТ: 3"}
|
| 401 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1355, "seconds": 8.874, "output": "ОТВЕТ: 1"}
|
| 402 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5120, "seconds": 7.449, "output": "ОТВЕТ: 3"}
|
| 403 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1353, "seconds": 7.744, "output": "ОТВЕТ: 120"}
|
| 404 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5118, "seconds": 7.931, "output": "ОТВЕТ: 12"}
|
| 405 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1374, "seconds": 7.502, "output": "ОТВЕТ: нет"}
|
| 406 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5139, "seconds": 7.112, "output": "ОТВЕТ: нет"}
|
| 407 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1361, "seconds": 7.698, "output": "ОТВЕТ: 3680"}
|
| 408 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5126, "seconds": 8.353, "output": "ОТВЕТ: 3738"}
|
| 409 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1332, "seconds": 8.367, "output": "ОТВЕТ: 4038"}
|
| 410 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5097, "seconds": 8.384, "output": "ОТВЕТ: 4038"}
|
| 411 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1499, "seconds": 7.941, "output": "ОТВЕТ: 2"}
|
| 412 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7121, "seconds": 9.628, "output": "ОТВЕТ: 5"}
|
| 413 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1506, "seconds": 9.613, "output": "ОТВЕТ: 6"}
|
| 414 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7128, "seconds": 9.576, "output": "ОТВЕТ: 4"}
|
| 415 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1503, "seconds": 9.908, "output": "ОТВЕТ: 140"}
|
| 416 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7125, "seconds": 10.222, "output": "ОТВЕТ: 200"}
|
| 417 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1504, "seconds": 10.054, "output": "ОТВЕТ: 75"}
|
| 418 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7126, "seconds": 10.103, "output": "ОТВЕТ: 100"}
|
| 419 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1485, "seconds": 10.263, "output": "ОТВЕТ: 215"}
|
| 420 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7107, "seconds": 10.245, "output": "ОТВЕТ: 215"}
|
| 421 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1930, "seconds": 10.45, "output": "ОТВЕТ: 4"}
|
| 422 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6992, "seconds": 9.46, "output": "ОТВЕТ: 3"}
|
| 423 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1931, "seconds": 9.929, "output": "ОТВЕТ: 1800"}
|
| 424 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6993, "seconds": 10.449, "output": "ОТВЕТ: 8550"}
|
| 425 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1950, "seconds": 9.826, "output": "ОТВЕТ: нет"}
|
| 426 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7012, "seconds": 9.114, "output": "ОТВЕТ: нет"}
|
| 427 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1905, "seconds": 9.575, "output": "ОТВЕТ: 750"}
|
| 428 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6967, "seconds": 10.1, "output": "ОТВЕТ: 360"}
|
| 429 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1933, "seconds": 10.254, "output": "ОТВЕТ: 1080"}
|
| 430 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6995, "seconds": 10.439, "output": "ОТВЕТ: 1080"}
|
| 431 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1655, "seconds": 9.938, "output": "ОТВЕТ: 4"}
|
| 432 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6217, "seconds": 8.677, "output": "ОТВЕТ: 4"}
|
| 433 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1655, "seconds": 8.68, "output": "ОТВЕТ: 2"}
|
| 434 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6217, "seconds": 8.729, "output": "ОТВЕТ: 2"}
|
| 435 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1674, "seconds": 8.873, "output": "ОТВЕТ: нет"}
|
| 436 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6236, "seconds": 8.707, "output": "ОТВЕТ: нет"}
|
| 437 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1648, "seconds": 8.589, "output": "ОТВЕТ: 20"}
|
| 438 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6210, "seconds": 8.898, "output": "ОТВЕТ: 20"}
|
| 439 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1637, "seconds": 8.849, "output": "ОТВЕТ: 15"}
|
| 440 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6199, "seconds": 8.812, "output": "ОТВЕТ: 15"}
|
| 441 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1733, "seconds": 8.83, "output": "ОТВЕТ: 2"}
|
| 442 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5590, "seconds": 8.095, "output": "ОТВЕТ: 2"}
|
| 443 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1725, "seconds": 8.715, "output": "ОТВЕТ: 400"}
|
| 444 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5582, "seconds": 8.963, "output": "ОТВЕТ: 200"}
|
| 445 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1748, "seconds": 8.185, "output": "ОТВЕТ: нет"}
|
| 446 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5605, "seconds": 7.691, "output": "ОТВЕТ: нет"}
|
| 447 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1732, "seconds": 7.998, "output": "ОТВЕТ: перегруз"}
|
| 448 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5589, "seconds": 8.295, "output": "ОТВЕТ: перегруз"}
|
| 449 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1782, "seconds": 8.008, "output": "ОТВЕТ: run"}
|
| 450 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5639, "seconds": 7.742, "output": "ОТВЕТ: run"}
|
| 451 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1766, "seconds": 7.543, "output": "ОТВЕТ: 4"}
|
| 452 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7822, "seconds": 9.217, "output": "ОТВЕТ: 5"}
|
| 453 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1764, "seconds": 9.234, "output": "ОТВЕТ: 2"}
|
| 454 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7820, "seconds": 9.202, "output": "ОТВЕТ: 2"}
|
| 455 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1781, "seconds": 9.252, "output": "ОТВЕТ: да"}
|
| 456 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7837, "seconds": 9.137, "output": "ОТВЕТ: да"}
|
| 457 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1756, "seconds": 8.781, "output": "ОТВЕТ: false"}
|
| 458 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7812, "seconds": 8.776, "output": "ОТВЕТ: false"}
|
| 459 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1753, "seconds": 8.933, "output": "ОТВЕТ: /health"}
|
| 460 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7809, "seconds": 9.128, "output": "ОТВЕТ: /health"}
|
| 461 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1481, "seconds": 9.098, "output": "ОТВЕТ: 4"}
|
| 462 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4900, "seconds": 7.317, "output": "ОТВЕТ: 4"}
|
| 463 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1477, "seconds": 7.41, "output": "ОТВЕТ: 5"}
|
| 464 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4896, "seconds": 7.444, "output": "ОТВЕТ: 0"}
|
| 465 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1496, "seconds": 7.224, "output": "ОТВЕТ: нет"}
|
| 466 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4915, "seconds": 7.045, "output": "ОТВЕТ: нет"}
|
| 467 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1461, "seconds": 7.331, "output": "ОТВЕТ: 50"}
|
| 468 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4880, "seconds": 7.707, "output": "ОТВЕТ: 50"}
|
| 469 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1456, "seconds": 7.547, "output": "ОТВЕТ: 9"}
|
| 470 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4875, "seconds": 7.332, "output": "ОТВЕТ: 9"}
|
| 471 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1526, "seconds": 7.362, "output": "ОТВЕТ: 3"}
|
| 472 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5600, "seconds": 8.126, "output": "ОТВЕТ: 6"}
|
| 473 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1526, "seconds": 8.129, "output": "ОТВЕТ: 3"}
|
| 474 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5600, "seconds": 8.057, "output": "ОТВЕТ: 3"}
|
| 475 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1546, "seconds": 7.902, "output": "ОТВЕТ: нет"}
|
| 476 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5620, "seconds": 7.794, "output": "ОТВЕТ: нет"}
|
| 477 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1524, "seconds": 8.081, "output": "ОТВЕТ: 17"}
|
| 478 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5598, "seconds": 8.353, "output": "ОТВЕТ: 51"}
|
| 479 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1519, "seconds": 8.214, "output": "ОТВЕТ: 4"}
|
| 480 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5593, "seconds": 8.06, "output": "ОТВЕТ: 4"}
|
| 481 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1648, "seconds": 8.399, "output": "ОТВЕТ: 2"}
|
| 482 |
+
{"id": "cart-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4807, "seconds": 7.093, "output": "ОТВЕТ: 2"}
|
| 483 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1632, "seconds": 7.232, "output": "ОТВЕТ: 450"}
|
| 484 |
+
{"id": "cart-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4791, "seconds": 7.551, "output": "ОТВЕТ: 155"}
|
| 485 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1665, "seconds": 7.507, "output": "ОТВЕТ: нет"}
|
| 486 |
+
{"id": "cart-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4824, "seconds": 6.995, "output": "ОТВЕТ: нет"}
|
| 487 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1635, "seconds": 6.59, "output": "ОТВЕТ: нет"}
|
| 488 |
+
{"id": "cart-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4794, "seconds": 6.657, "output": "ОТВЕТ: false"}
|
| 489 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1626, "seconds": 7.259, "output": "ОТВЕТ: 3245"}
|
| 490 |
+
{"id": "cart-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4785, "seconds": 7.83, "output": "ОТВЕТ: 3245"}
|
| 491 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1691, "seconds": 7.765, "output": "ОТВЕТ: 5"}
|
| 492 |
+
{"id": "config-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5351, "seconds": 7.969, "output": "ОТВЕТ: 5"}
|
| 493 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1680, "seconds": 8.285, "output": "ОТВЕТ: 1024"}
|
| 494 |
+
{"id": "config-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5340, "seconds": 8.824, "output": "ОТВЕТ: 1024"}
|
| 495 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1704, "seconds": 8.581, "output": "ОТВЕТ: нет"}
|
| 496 |
+
{"id": "config-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5364, "seconds": 7.864, "output": "ОТВЕТ: нет"}
|
| 497 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1687, "seconds": 7.771, "output": "ОТВЕТ: 2"}
|
| 498 |
+
{"id": "config-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5347, "seconds": 7.969, "output": "ОТВЕТ: 2"}
|
| 499 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1663, "seconds": 8.224, "output": "ОТВЕТ: 9000"}
|
| 500 |
+
{"id": "config-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5323, "seconds": 8.762, "output": "ОТВЕТ: 9000"}
|
| 501 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1333, "seconds": 8.237, "output": "ОТВЕТ: 102"}
|
| 502 |
+
{"id": "grades-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6914, "seconds": 9.729, "output": "ОТВЕТ: 102"}
|
| 503 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1335, "seconds": 9.413, "output": "ОТВЕТ: 2"}
|
| 504 |
+
{"id": "grades-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6916, "seconds": 8.972, "output": "ОТВЕТ: 4"}
|
| 505 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1353, "seconds": 8.856, "output": "ОТВЕТ: нет"}
|
| 506 |
+
{"id": "grades-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6934, "seconds": 8.746, "output": "ОТВЕТ: нет"}
|
| 507 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1334, "seconds": 8.722, "output": "ОТВЕТ: F"}
|
| 508 |
+
{"id": "grades-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6915, "seconds": 8.669, "output": "ОТВЕТ: F"}
|
| 509 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1334, "seconds": 8.675, "output": "ОТВЕТ: нет"}
|
| 510 |
+
{"id": "grades-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6915, "seconds": 8.692, "output": "ОТВЕТ: false"}
|
| 511 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1603, "seconds": 9.364, "output": "ОТВЕТ: 6"}
|
| 512 |
+
{"id": "grid-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6448, "seconds": 9.331, "output": "ОТВЕТ: 5"}
|
| 513 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1600, "seconds": 9.304, "output": "ОТВЕТ: 3"}
|
| 514 |
+
{"id": "grid-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6445, "seconds": 9.375, "output": "ОТВЕТ: 4"}
|
| 515 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1620, "seconds": 9.228, "output": "ОТВЕТ: нет"}
|
| 516 |
+
{"id": "grid-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6465, "seconds": 9.092, "output": "ОТВЕТ: нет"}
|
| 517 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1598, "seconds": 9.267, "output": "ОТВЕТ: 0"}
|
| 518 |
+
{"id": "grid-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6443, "seconds": 9.377, "output": "ОТВЕТ: 0"}
|
| 519 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1575, "seconds": 9.37, "output": "ОТВЕТ: 3"}
|
| 520 |
+
{"id": "grid-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6420, "seconds": 9.374, "output": "ОТВЕТ: 3"}
|
| 521 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1355, "seconds": 8.93, "output": "ОТВЕТ: 2"}
|
| 522 |
+
{"id": "ledger-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5120, "seconds": 7.556, "output": "ОТВЕТ: 3"}
|
| 523 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1353, "seconds": 7.795, "output": "ОТВЕТ: 120"}
|
| 524 |
+
{"id": "ledger-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5118, "seconds": 7.861, "output": "ОТВЕТ: 12"}
|
| 525 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1374, "seconds": 7.408, "output": "ОТВЕТ: нет"}
|
| 526 |
+
{"id": "ledger-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5139, "seconds": 7.138, "output": "ОТВЕТ: нет"}
|
| 527 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1361, "seconds": 7.727, "output": "ОТВЕТ: 3780"}
|
| 528 |
+
{"id": "ledger-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5126, "seconds": 8.42, "output": "ОТВЕТ: 3738"}
|
| 529 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1332, "seconds": 8.426, "output": "ОТВЕТ: 4038"}
|
| 530 |
+
{"id": "ledger-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5097, "seconds": 8.396, "output": "ОТВЕТ: 4038"}
|
| 531 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1499, "seconds": 7.976, "output": "ОТВЕТ: 3"}
|
| 532 |
+
{"id": "matrix-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7121, "seconds": 9.646, "output": "ОТВЕТ: 5"}
|
| 533 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1506, "seconds": 9.623, "output": "ОТВЕТ: 4"}
|
| 534 |
+
{"id": "matrix-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7128, "seconds": 9.554, "output": "ОТВЕТ: 4"}
|
| 535 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1503, "seconds": 9.889, "output": "ОТВЕТ: 280"}
|
| 536 |
+
{"id": "matrix-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7125, "seconds": 10.273, "output": "ОТВЕТ: 200"}
|
| 537 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1504, "seconds": 10.271, "output": "ОТВЕТ: 100"}
|
| 538 |
+
{"id": "matrix-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7126, "seconds": 10.303, "output": "ОТВЕТ: 100"}
|
| 539 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1485, "seconds": 10.294, "output": "ОТВЕТ: 215"}
|
| 540 |
+
{"id": "matrix-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7107, "seconds": 10.27, "output": "ОТВЕТ: 215"}
|
| 541 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1930, "seconds": 10.476, "output": "ОТВЕТ: 3"}
|
| 542 |
+
{"id": "orders-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6992, "seconds": 9.469, "output": "ОТВЕТ: 3"}
|
| 543 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1931, "seconds": 9.94, "output": "ОТВЕТ: 1080"}
|
| 544 |
+
{"id": "orders-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6993, "seconds": 10.395, "output": "ОТВЕТ: 8550"}
|
| 545 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1950, "seconds": 9.775, "output": "ОТВЕТ: нет"}
|
| 546 |
+
{"id": "orders-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7012, "seconds": 9.102, "output": "ОТВЕТ: нет"}
|
| 547 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1905, "seconds": 9.588, "output": "ОТВЕТ: 150"}
|
| 548 |
+
{"id": "orders-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6967, "seconds": 10.089, "output": "ОТВЕТ: 360"}
|
| 549 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1933, "seconds": 10.216, "output": "ОТВЕТ: 2400"}
|
| 550 |
+
{"id": "orders-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6995, "seconds": 10.395, "output": "ОТВЕТ: 1080"}
|
| 551 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1655, "seconds": 9.918, "output": "ОТВЕТ: 4"}
|
| 552 |
+
{"id": "pipeline-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6217, "seconds": 8.758, "output": "ОТВЕТ: 4"}
|
| 553 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1655, "seconds": 8.752, "output": "ОТВЕТ: 2"}
|
| 554 |
+
{"id": "pipeline-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6217, "seconds": 8.799, "output": "ОТВЕТ: 2"}
|
| 555 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1674, "seconds": 8.88, "output": "ОТВЕТ: нет"}
|
| 556 |
+
{"id": "pipeline-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6236, "seconds": 8.668, "output": "ОТВЕТ: нет"}
|
| 557 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1648, "seconds": 8.615, "output": "ОТВЕТ: 20"}
|
| 558 |
+
{"id": "pipeline-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6210, "seconds": 8.94, "output": "ОТВЕТ: 20"}
|
| 559 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1637, "seconds": 8.871, "output": "ОТВЕТ: 15"}
|
| 560 |
+
{"id": "pipeline-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6199, "seconds": 8.866, "output": "ОТВЕТ: 15"}
|
| 561 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1733, "seconds": 8.917, "output": "ОТВЕТ: 2"}
|
| 562 |
+
{"id": "retry-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5590, "seconds": 8.141, "output": "ОТВЕТ: 2"}
|
| 563 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1725, "seconds": 8.744, "output": "ОТВЕТ: 400"}
|
| 564 |
+
{"id": "retry-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5582, "seconds": 8.935, "output": "ОТВЕТ: 200"}
|
| 565 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1748, "seconds": 8.163, "output": "ОТВЕТ: нет"}
|
| 566 |
+
{"id": "retry-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5605, "seconds": 7.734, "output": "ОТВЕТ: нет"}
|
| 567 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1732, "seconds": 8.02, "output": "ОТВЕТ: перегруз"}
|
| 568 |
+
{"id": "retry-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5589, "seconds": 8.65, "output": "ОТВЕТ: 'перегруз'"}
|
| 569 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1782, "seconds": 8.368, "output": "ОТВЕТ: run"}
|
| 570 |
+
{"id": "retry-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5639, "seconds": 7.761, "output": "ОТВЕТ: run"}
|
| 571 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1766, "seconds": 7.567, "output": "ОТВЕТ: 4"}
|
| 572 |
+
{"id": "router-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7822, "seconds": 9.242, "output": "ОТВЕТ: 2"}
|
| 573 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1764, "seconds": 9.249, "output": "ОТВЕТ: 2"}
|
| 574 |
+
{"id": "router-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7820, "seconds": 9.304, "output": "ОТВЕТ: 2"}
|
| 575 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1781, "seconds": 9.355, "output": "ОТВЕТ: да"}
|
| 576 |
+
{"id": "router-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7837, "seconds": 9.188, "output": "ОТВЕТ: да"}
|
| 577 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1756, "seconds": 8.834, "output": "ОТВЕТ: false"}
|
| 578 |
+
{"id": "router-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7812, "seconds": 8.786, "output": "ОТВЕТ: false"}
|
| 579 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1753, "seconds": 8.943, "output": "ОТВЕТ: /health"}
|
| 580 |
+
{"id": "router-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7809, "seconds": 9.122, "output": "ОТВЕТ: /health"}
|
| 581 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1481, "seconds": 9.102, "output": "ОТВЕТ: 4"}
|
| 582 |
+
{"id": "stock-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4900, "seconds": 7.348, "output": "ОТВЕТ: 4"}
|
| 583 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1477, "seconds": 7.373, "output": "ОТВЕТ: 5"}
|
| 584 |
+
{"id": "stock-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4896, "seconds": 7.325, "output": "ОТВЕТ: 0"}
|
| 585 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1496, "seconds": 7.154, "output": "ОТВЕТ: нет"}
|
| 586 |
+
{"id": "stock-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4915, "seconds": 7.043, "output": "ОТВЕТ: нет"}
|
| 587 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1461, "seconds": 7.32, "output": "ОТВЕТ: 50"}
|
| 588 |
+
{"id": "stock-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4880, "seconds": 7.597, "output": "ОТВЕТ: 50"}
|
| 589 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1456, "seconds": 7.454, "output": "ОТВЕТ: 9"}
|
| 590 |
+
{"id": "stock-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4875, "seconds": 7.335, "output": "ОТВЕТ: 9"}
|
| 591 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1526, "seconds": 7.368, "output": "ОТВЕТ: 3"}
|
| 592 |
+
{"id": "tokens-1", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5600, "seconds": 8.093, "output": "ОТВЕТ: 4"}
|
| 593 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1526, "seconds": 8.076, "output": "ОТВЕТ: 3"}
|
| 594 |
+
{"id": "tokens-2", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5600, "seconds": 8.01, "output": "ОТВЕТ: 3"}
|
| 595 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1546, "seconds": 7.873, "output": "ОТВЕТ: нет"}
|
| 596 |
+
{"id": "tokens-3", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5620, "seconds": 7.809, "output": "ОТВЕТ: нет"}
|
| 597 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1524, "seconds": 8.102, "output": "ОТВЕТ: 31"}
|
| 598 |
+
{"id": "tokens-4", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5598, "seconds": 8.42, "output": "ОТВЕТ: 51"}
|
| 599 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1519, "seconds": 8.276, "output": "ОТВЕТ: 4"}
|
| 600 |
+
{"id": "tokens-5", "model": "qwen2.5:32b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5593, "seconds": 8.123, "output": "ОТВЕТ: 4"}
|
results/answers-7b.jsonl
ADDED
|
@@ -0,0 +1,600 @@
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| 1 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1648, "seconds": 755.892, "output": "ОТВЕТ: 3"}
|
| 2 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4807, "seconds": 756.329, "output": "ОТВЕТ: 3"}
|
| 3 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1632, "seconds": 755.98, "output": "ОТВЕТ: 450"}
|
| 4 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4791, "seconds": 756.419, "output": "ОТВЕТ: 155"}
|
| 5 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1665, "seconds": 7.265, "output": "ОТВЕТ: нет"}
|
| 6 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4824, "seconds": 7.504, "output": "ОТВЕТ: нет"}
|
| 7 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1635, "seconds": 7.274, "output": "ОТВЕТ: нет"}
|
| 8 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4794, "seconds": 7.525, "output": "ОТВЕТ: false"}
|
| 9 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1626, "seconds": 0.92, "output": "ОТВЕТ: 3245"}
|
| 10 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4785, "seconds": 1.036, "output": "ОТВЕТ: 3245"}
|
| 11 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1691, "seconds": 1.039, "output": "ОТВЕТ: 2"}
|
| 12 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5351, "seconds": 1.096, "output": "ОТВЕТ: 7"}
|
| 13 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1680, "seconds": 1.086, "output": "ОТВЕТ: не知道自己"}
|
| 14 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5340, "seconds": 1.133, "output": "ОТВЕТ: 1024"}
|
| 15 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1704, "seconds": 1.118, "output": "ОТВЕТ: нет"}
|
| 16 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5364, "seconds": 1.117, "output": "ОТВЕТ: нет"}
|
| 17 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1687, "seconds": 1.112, "output": "ОТВЕТ: 2"}
|
| 18 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5347, "seconds": 1.096, "output": "ОТВЕТ: 2"}
|
| 19 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1663, "seconds": 1.121, "output": "ОТВЕТ: 9000"}
|
| 20 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5323, "seconds": 1.177, "output": "ОТВЕЩ: 9000"}
|
| 21 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1333, "seconds": 1.164, "output": "ОТВЕТ: 97"}
|
| 22 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6914, "seconds": 1.272, "output": "ОТВЕТ: 88"}
|
| 23 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1335, "seconds": 1.237, "output": "ОТВЕТ: 4"}
|
| 24 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6916, "seconds": 1.357, "output": "ОТВЕТ: 4"}
|
| 25 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1353, "seconds": 1.349, "output": "ОТВЕТ: нет"}
|
| 26 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6934, "seconds": 1.338, "output": "ОТВЕТ: нет"}
|
| 27 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1334, "seconds": 1.329, "output": "ОТВЕТ: F"}
|
| 28 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6915, "seconds": 1.341, "output": "ОТВЕТ: \"C\""}
|
| 29 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1334, "seconds": 1.336, "output": "ОТВЕТ: нет"}
|
| 30 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6915, "seconds": 1.335, "output": "ОТВЕТ: false"}
|
| 31 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1603, "seconds": 1.362, "output": "ОТВЕТ: 2"}
|
| 32 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6448, "seconds": 1.32, "output": "ОТВЕТ: 7"}
|
| 33 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1600, "seconds": 1.347, "output": "ОТВЕТ: 3"}
|
| 34 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6445, "seconds": 1.318, "output": "ОТВЕТ: 3"}
|
| 35 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1620, "seconds": 1.316, "output": "ОТВЕТ: нет"}
|
| 36 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6465, "seconds": 1.309, "output": "ОТВЕТ: нет"}
|
| 37 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1598, "seconds": 1.312, "output": "ОТВЕТ: 0"}
|
| 38 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6443, "seconds": 1.31, "output": "ОТВЕТ: 1"}
|
| 39 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1575, "seconds": 1.314, "output": "ОТВЕТ: 3"}
|
| 40 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6420, "seconds": 1.32, "output": "ОТВЕТ: 3"}
|
| 41 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1355, "seconds": 1.298, "output": "ОТВЕТ: 2"}
|
| 42 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5120, "seconds": 1.179, "output": "ОТВЕТ: 3"}
|
| 43 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1353, "seconds": 1.175, "output": "ОТВЕЩЕНЬЕ: нет"}
|
| 44 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5118, "seconds": 1.117, "output": "ОТВЕТ: 50"}
|
| 45 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1374, "seconds": 1.118, "output": "ОТВЕТ: нет"}
|
| 46 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5139, "seconds": 1.354, "output": "ОТВЕТ: нет"}
|
| 47 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1361, "seconds": 0.788, "output": "ОТВЕТ: 4038"}
|
| 48 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5126, "seconds": 0.857, "output": "ОТВЕТ: 4950"}
|
| 49 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1332, "seconds": 0.873, "output": "ОТВЕТ: 4038"}
|
| 50 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5097, "seconds": 1.124, "output": "ОТВЕТ: 4038"}
|
| 51 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1499, "seconds": 0.81, "output": "ОТВЕТ: 2"}
|
| 52 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7121, "seconds": 1.317, "output": "ОТВЕТ: 3"}
|
| 53 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1506, "seconds": 1.304, "output": "ОТВЕТ: 3"}
|
| 54 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7128, "seconds": 1.461, "output": "ОТВЕТ: 3"}
|
| 55 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1503, "seconds": 1.428, "output": "ОТВЕТ: 28"}
|
| 56 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7125, "seconds": 1.431, "output": "ОТВЕТ: 0"}
|
| 57 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1504, "seconds": 1.428, "output": "ОТВЕТ: 4"}
|
| 58 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7126, "seconds": 1.444, "output": "ОТВЕТ: 100"}
|
| 59 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1485, "seconds": 1.451, "output": "ОТВЕТ: 215"}
|
| 60 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7107, "seconds": 1.465, "output": "ОТВЕТ: 215"}
|
| 61 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1930, "seconds": 1.484, "output": "ОТВЕТ: 5"}
|
| 62 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6992, "seconds": 1.421, "output": "ОТВЕТ: 4"}
|
| 63 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1931, "seconds": 1.446, "output": "ОТВЕЩЕНЬЕ: нет"}
|
| 64 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6993, "seconds": 1.396, "output": "ОТВЕТ: 600"}
|
| 65 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1950, "seconds": 1.393, "output": "ОТВЕТ: нет"}
|
| 66 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7012, "seconds": 1.388, "output": "ОТВЕТ: нет"}
|
| 67 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1905, "seconds": 1.387, "output": "ОТВЕТ: 300"}
|
| 68 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6967, "seconds": 1.387, "output": "ОТВЕТ: 360"}
|
| 69 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1933, "seconds": 1.387, "output": "ОТВЕТ: да"}
|
| 70 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6995, "seconds": 1.408, "output": "ОТВЕТ: 108"}
|
| 71 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1655, "seconds": 1.386, "output": "ОТВЕТ: 3"}
|
| 72 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6217, "seconds": 1.308, "output": "ОТВЕТ: 6"}
|
| 73 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1655, "seconds": 1.309, "output": "ОТВЕТ: 2"}
|
| 74 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6217, "seconds": 1.225, "output": "ОТВЕТ: 2"}
|
| 75 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1674, "seconds": 1.223, "output": "ОТВЕТ: нет"}
|
| 76 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6236, "seconds": 1.22, "output": "ОТВЕТ: нет"}
|
| 77 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1648, "seconds": 1.228, "output": "ОТВЕТ: 20"}
|
| 78 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6210, "seconds": 1.237, "output": "ОТВЕТ: 20"}
|
| 79 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1637, "seconds": 1.247, "output": "ОТВЕТ: 15"}
|
| 80 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 6199, "seconds": 1.261, "output": "ОТВЕТ: 15"}
|
| 81 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1733, "seconds": 1.263, "output": "ОТВЕЩЕН: 3"}
|
| 82 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5590, "seconds": 1.204, "output": "ОТВЕТ: 3"}
|
| 83 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1725, "seconds": 1.379, "output": "ОТВЕТ: не知道自己回答的最后一个backoff调用返回了什么值，因为程序在第二次重试时抛出了超时错误并退出。"}
|
| 84 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5582, "seconds": 1.324, "output": "ОТВЕТ: 200"}
|
| 85 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1748, "seconds": 1.311, "output": "ОТВЕТ: нет"}
|
| 86 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5605, "seconds": 1.312, "output": "ОТВЕТ: нет"}
|
| 87 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1732, "seconds": 1.141, "output": "ОТВЕТ: перегруз"}
|
| 88 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5589, "seconds": 1.166, "output": "ОТВЕТ: 'перегруз'"}
|
| 89 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1782, "seconds": 1.17, "output": "ОТВЕТ: нет"}
|
| 90 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5639, "seconds": 1.158, "output": "ОТВЕТ: run"}
|
| 91 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1766, "seconds": 1.148, "output": "ОТВЕТ: 1"}
|
| 92 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7822, "seconds": 1.299, "output": "ОТВЕТ: 2"}
|
| 93 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1764, "seconds": 1.294, "output": "ОТВЕТ: 1"}
|
| 94 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7820, "seconds": 1.464, "output": "ОТВЕТ: 3"}
|
| 95 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1781, "seconds": 1.456, "output": "ОТВЕТ: да"}
|
| 96 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7837, "seconds": 1.423, "output": "ОТВЕТ: да"}
|
| 97 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1756, "seconds": 1.411, "output": "ОТВЕТ: да"}
|
| 98 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7812, "seconds": 1.403, "output": "ОТВЕТ: нет"}
|
| 99 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1753, "seconds": 1.401, "output": "ОТВЕТ: не знаю"}
|
| 100 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 7809, "seconds": 1.417, "output": "ОТВЕТ: \"/health\""}
|
| 101 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1481, "seconds": 1.416, "output": "ОТВЕТ: 1"}
|
| 102 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4900, "seconds": 1.221, "output": "ОТВЕТ: 3"}
|
| 103 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1477, "seconds": 1.219, "output": "ОТВЕТ: 3"}
|
| 104 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4896, "seconds": 1.06, "output": "ОТВЕТ: 3"}
|
| 105 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1496, "seconds": 1.063, "output": "ОТВЕТ: нет"}
|
| 106 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4915, "seconds": 1.088, "output": "ОТВЕТ: нет"}
|
| 107 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1461, "seconds": 1.091, "output": "ОТВЕТ: 50"}
|
| 108 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4880, "seconds": 1.103, "output": "ОТВЕТ: 50"}
|
| 109 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1456, "seconds": 1.099, "output": "ОТВЕТ: 9"}
|
| 110 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 4875, "seconds": 1.093, "output": "ОТВЕТ: 9"}
|
| 111 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1526, "seconds": 1.094, "output": "ОТВЕТ: 2"}
|
| 112 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5600, "seconds": 1.148, "output": "ОТВЕТ: 6"}
|
| 113 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1526, "seconds": 1.156, "output": "ОТВЕТ: 2"}
|
| 114 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5600, "seconds": 1.212, "output": "ОТВЕТ: 3"}
|
| 115 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1546, "seconds": 1.205, "output": "ОТВЕТ: нет"}
|
| 116 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5620, "seconds": 1.166, "output": "ОТВЕТ: нет"}
|
| 117 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1524, "seconds": 1.174, "output": "ОТВЕТ: 37"}
|
| 118 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5598, "seconds": 1.179, "output": "ОТВЕТ: 17"}
|
| 119 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 1, "prompt_chars": 1519, "seconds": 1.192, "output": "ОТВЕТ: 12"}
|
| 120 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 1, "prompt_chars": 5593, "seconds": 1.2, "output": "ОТВЕТ: 47"}
|
| 121 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1648, "seconds": 1.206, "output": "ОТВЕТ: 2"}
|
| 122 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4807, "seconds": 1.088, "output": "ОТВЕТ: 3"}
|
| 123 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1632, "seconds": 1.107, "output": "ОТВЕТ: 450"}
|
| 124 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4791, "seconds": 1.059, "output": "ОТВЕТ: 155"}
|
| 125 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1665, "seconds": 1.055, "output": "ОТВЕТ: нет"}
|
| 126 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4824, "seconds": 1.055, "output": "ОТВЕТ: нет"}
|
| 127 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1635, "seconds": 1.036, "output": "ОТВЕТ: нет"}
|
| 128 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4794, "seconds": 1.044, "output": "ОТВЕТ: false"}
|
| 129 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1626, "seconds": 1.07, "output": "ОТВЕТ: 3245"}
|
| 130 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4785, "seconds": 1.089, "output": "ОТВЕТ: 3245"}
|
| 131 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1691, "seconds": 1.096, "output": "ОТВЕТ: 3"}
|
| 132 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5351, "seconds": 1.129, "output": "ОТВЕТ: 5"}
|
| 133 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1680, "seconds": 1.112, "output": "ОТВЕТ: 80"}
|
| 134 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5340, "seconds": 1.17, "output": "ОТВЕТ: 1024"}
|
| 135 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1704, "seconds": 1.159, "output": "ОТВЕТ: нет"}
|
| 136 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5364, "seconds": 1.116, "output": "ОТВЕТ: нет"}
|
| 137 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1687, "seconds": 1.114, "output": "ОТВЕТ: 2"}
|
| 138 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5347, "seconds": 1.117, "output": "ОТВЕТ: 3"}
|
| 139 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1663, "seconds": 1.146, "output": "ОТВЕТ: 9000"}
|
| 140 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5323, "seconds": 1.152, "output": "ОТВЕТ: 9000"}
|
| 141 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1333, "seconds": 1.146, "output": "ОТВЕТ: 102"}
|
| 142 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6914, "seconds": 1.3, "output": "ОТВЕТ: 88"}
|
| 143 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1335, "seconds": 1.262, "output": "ОТВЕТ: 4"}
|
| 144 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6916, "seconds": 1.417, "output": "ОТВЕТ: 4"}
|
| 145 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1353, "seconds": 1.399, "output": "ОТВЕТ: нет"}
|
| 146 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6934, "seconds": 1.394, "output": "ОТВЕТ: нет"}
|
| 147 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1334, "seconds": 1.385, "output": "ОТВЕТ: B"}
|
| 148 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6915, "seconds": 1.396, "output": "ОТВЕТ: \"F\""}
|
| 149 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1334, "seconds": 1.39, "output": "ОТВЕТ: нет"}
|
| 150 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6915, "seconds": 1.392, "output": "ОТВЕТ: false"}
|
| 151 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1603, "seconds": 1.421, "output": "ОТВЕТ: 3"}
|
| 152 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6448, "seconds": 1.371, "output": "ОТВЕТ: 5"}
|
| 153 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1600, "seconds": 1.401, "output": "ОТВЕТ: 3"}
|
| 154 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6445, "seconds": 1.361, "output": "ОТВЕТ: 5"}
|
| 155 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1620, "seconds": 1.355, "output": "ОТВЕТ: нет"}
|
| 156 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6465, "seconds": 1.355, "output": "ОТВЕТ: нет"}
|
| 157 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1598, "seconds": 1.35, "output": "ОТВЕТ: нет"}
|
| 158 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6443, "seconds": 1.35, "output": "ОТВЕТ: 1"}
|
| 159 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1575, "seconds": 1.353, "output": "ОТВЕТ: 3"}
|
| 160 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6420, "seconds": 1.353, "output": "ОТВЕТ: 3"}
|
| 161 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1355, "seconds": 1.338, "output": "ОТВЕТ: 2"}
|
| 162 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5120, "seconds": 1.218, "output": "ОТВЕТ: 3"}
|
| 163 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1353, "seconds": 1.202, "output": "ОТВЕТ: не знаю"}
|
| 164 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5118, "seconds": 1.131, "output": "ОТВЕТ: 50"}
|
| 165 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1374, "seconds": 1.133, "output": "ОТВЕТ: нет"}
|
| 166 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5139, "seconds": 1.135, "output": "ОТВЕТ: нет"}
|
| 167 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1361, "seconds": 1.156, "output": "ОТВЕТ: 3800"}
|
| 168 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5126, "seconds": 1.145, "output": "ОТВЕТ: 4950"}
|
| 169 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1332, "seconds": 1.165, "output": "ОТВЕТ: 4038"}
|
| 170 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5097, "seconds": 1.168, "output": "ОТВЕТ: 4038"}
|
| 171 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1499, "seconds": 1.153, "output": "ОТВЕТ: 2"}
|
| 172 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7121, "seconds": 1.325, "output": "ОТВЕТ: 4"}
|
| 173 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1506, "seconds": 1.31, "output": "ОТВЕТ: 4"}
|
| 174 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7128, "seconds": 1.499, "output": "ОТВЕТ: 4"}
|
| 175 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1503, "seconds": 1.502, "output": "ОТВЕТ: 28"}
|
| 176 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7125, "seconds": 1.481, "output": "ОТВЕТ: 0"}
|
| 177 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1504, "seconds": 1.493, "output": "ОТВЕТ: 100"}
|
| 178 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7126, "seconds": 1.49, "output": "ОТВЕТ: 5"}
|
| 179 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1485, "seconds": 1.494, "output": "ОТВЕТ: 215"}
|
| 180 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7107, "seconds": 1.51, "output": "ОТВЕТ: 215"}
|
| 181 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1930, "seconds": 1.519, "output": "ОТВЕТ: 4"}
|
| 182 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6992, "seconds": 1.463, "output": "ОТВЕТ: 3"}
|
| 183 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1931, "seconds": 1.477, "output": "ОТВЕТ: не знаю"}
|
| 184 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6993, "seconds": 1.419, "output": "ОТВЕТ: 600"}
|
| 185 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1950, "seconds": 1.416, "output": "ОТВЕТ: нет"}
|
| 186 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7012, "seconds": 1.407, "output": "ОТВЕТ: нет"}
|
| 187 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1905, "seconds": 1.417, "output": "ОТВЕТ: 150"}
|
| 188 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6967, "seconds": 1.416, "output": "ОТВЕТ: 360"}
|
| 189 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1933, "seconds": 1.411, "output": "ОТВЕТ: нет"}
|
| 190 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6995, "seconds": 1.449, "output": "ОТВЕТ: 1080"}
|
| 191 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1655, "seconds": 1.424, "output": "ОТВЕТ: 4"}
|
| 192 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6217, "seconds": 1.349, "output": "ОТВЕТ: 5"}
|
| 193 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1655, "seconds": 1.352, "output": "ОТВЕТ: 2"}
|
| 194 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6217, "seconds": 1.261, "output": "ОТВЕТ: 2"}
|
| 195 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1674, "seconds": 1.262, "output": "ОТВЕТ: нет"}
|
| 196 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6236, "seconds": 1.253, "output": "ОТВЕТ: нет"}
|
| 197 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1648, "seconds": 1.26, "output": "ОТВЕТ: 15"}
|
| 198 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6210, "seconds": 1.267, "output": "ОТВЕТ: 20"}
|
| 199 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1637, "seconds": 1.278, "output": "ОТВЕТ: 15"}
|
| 200 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 6199, "seconds": 1.289, "output": "ОТВЕТ: 15"}
|
| 201 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1733, "seconds": 1.282, "output": "ОТВЕТ: 2"}
|
| 202 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5590, "seconds": 1.218, "output": "ОТВЕТ: 3"}
|
| 203 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1725, "seconds": 1.233, "output": "ОТВЕТ: 1000"}
|
| 204 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5582, "seconds": 1.187, "output": "ОТВЕТ: 200"}
|
| 205 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1748, "seconds": 1.182, "output": "ОТВЕТ: нет"}
|
| 206 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5605, "seconds": 1.177, "output": "ОТВЕТ: нет"}
|
| 207 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1732, "seconds": 1.159, "output": "ОТВЕТ: сбой"}
|
| 208 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5589, "seconds": 1.158, "output": "ОТВЕТ: перегруз"}
|
| 209 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1782, "seconds": 1.161, "output": "ОТВЕТ: run"}
|
| 210 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5639, "seconds": 1.163, "output": "ОТВЕТ: run"}
|
| 211 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1766, "seconds": 1.158, "output": "ОТВЕТ: 1"}
|
| 212 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7822, "seconds": 1.312, "output": "ОТВЕТ: 3"}
|
| 213 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1764, "seconds": 1.308, "output": "ОТВЕТ: 2"}
|
| 214 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7820, "seconds": 1.471, "output": "ОТВЕТ: 3"}
|
| 215 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1781, "seconds": 1.465, "output": "ОТВЕТ: да"}
|
| 216 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7837, "seconds": 1.446, "output": "ОТВЕТ: да"}
|
| 217 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1756, "seconds": 1.433, "output": "ОТВЕТ: нет"}
|
| 218 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7812, "seconds": 1.425, "output": "ОТВЕТ: нет"}
|
| 219 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1753, "seconds": 1.421, "output": "ОТВЕТ: /health"}
|
| 220 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 7809, "seconds": 1.435, "output": "ОТВЕТ: /health"}
|
| 221 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1481, "seconds": 1.432, "output": "ОТВЕТ: 4"}
|
| 222 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4900, "seconds": 1.238, "output": "ОТВЕТ: 4"}
|
| 223 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1477, "seconds": 1.239, "output": "ОТВЕТ: 3"}
|
| 224 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4896, "seconds": 1.08, "output": "ОТВЕТ: 3"}
|
| 225 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1496, "seconds": 1.085, "output": "ОТВЕТ: нет"}
|
| 226 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4915, "seconds": 1.093, "output": "ОТВЕТ: нет"}
|
| 227 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1461, "seconds": 1.093, "output": "ОТВЕТ: 50"}
|
| 228 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4880, "seconds": 1.084, "output": "ОТВЕТ: 50"}
|
| 229 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1456, "seconds": 1.086, "output": "ОТВЕТ: 9"}
|
| 230 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 4875, "seconds": 1.103, "output": "ОТВЕТ: 9"}
|
| 231 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1526, "seconds": 1.103, "output": "ОТВЕТ: 2"}
|
| 232 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5600, "seconds": 1.164, "output": "ОТВЕТ: 5"}
|
| 233 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1526, "seconds": 1.166, "output": "ОТВЕТ: 3"}
|
| 234 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5600, "seconds": 1.213, "output": "ОТВЕТ: 3"}
|
| 235 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1546, "seconds": 1.202, "output": "ОТВЕТ: нет"}
|
| 236 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5620, "seconds": 1.175, "output": "ОТВЕТ: нет"}
|
| 237 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1524, "seconds": 1.183, "output": "ОТВЕТ: 12"}
|
| 238 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5598, "seconds": 1.185, "output": "ОТВЕТ: 17"}
|
| 239 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 2, "prompt_chars": 1519, "seconds": 1.201, "output": "ОТВЕТ: 12"}
|
| 240 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 2, "prompt_chars": 5593, "seconds": 1.208, "output": "ОТВЕТ: 47"}
|
| 241 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1648, "seconds": 1.214, "output": "ОТВЕТ: 2"}
|
| 242 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4807, "seconds": 1.097, "output": "ОТВЕТ: 3"}
|
| 243 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1632, "seconds": 1.118, "output": "ОТВЕТ: 450"}
|
| 244 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4791, "seconds": 1.065, "output": "ОТВЕТ: 155"}
|
| 245 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1665, "seconds": 1.065, "output": "ОТВЕТ: нет"}
|
| 246 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4824, "seconds": 1.058, "output": "ОТВЕТ: нет"}
|
| 247 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1635, "seconds": 1.04, "output": "ОТВЕТ: нет"}
|
| 248 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4794, "seconds": 1.054, "output": "ОТВЕТ: false"}
|
| 249 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1626, "seconds": 1.075, "output": "ОТВЕТ: 3245"}
|
| 250 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4785, "seconds": 1.097, "output": "ОТВЕТ: 3245"}
|
| 251 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1691, "seconds": 1.102, "output": "ОТВЕТ: 3"}
|
| 252 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5351, "seconds": 1.115, "output": "ОТВЕТ: 5"}
|
| 253 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1680, "seconds": 1.098, "output": "ОТВЕТ: 80"}
|
| 254 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5340, "seconds": 1.162, "output": "ОТВЕТ: 1024"}
|
| 255 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1704, "seconds": 1.153, "output": "ОТВЕТ: нет"}
|
| 256 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5364, "seconds": 6.059, "output": "ОТВЕТ: нет"}
|
| 257 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1687, "seconds": 6.061, "output": "ОТВЕТ: 2"}
|
| 258 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5347, "seconds": 6.032, "output": "ОТВЕТ: 3"}
|
| 259 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1663, "seconds": 6.062, "output": "ОТВЕТ: 9000"}
|
| 260 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5323, "seconds": 2.631, "output": "ОТВЕТ: 9000"}
|
| 261 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1333, "seconds": 2.219, "output": "ОТВЕТ: 102"}
|
| 262 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6914, "seconds": 3.198, "output": "ОТВЕТ: 88"}
|
| 263 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1335, "seconds": 2.13, "output": "ОТВЕТ: 4"}
|
| 264 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6916, "seconds": 1.148, "output": "ОТВЕТ: 4"}
|
| 265 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1353, "seconds": 1.153, "output": "ОТВЕТ: нет"}
|
| 266 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6934, "seconds": 1.305, "output": "ОТВЕТ: нет"}
|
| 267 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1334, "seconds": 0.838, "output": "ОТВЕТ: B"}
|
| 268 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6915, "seconds": 1.337, "output": "ОТВЕТ: \"F\""}
|
| 269 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1334, "seconds": 1.335, "output": "ОТВЕТ: нет"}
|
| 270 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6915, "seconds": 1.345, "output": "ОТВЕТ: false"}
|
| 271 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1603, "seconds": 1.359, "output": "ОТВЕТ: 3"}
|
| 272 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6448, "seconds": 1.312, "output": "ОТВЕТ: 5"}
|
| 273 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1600, "seconds": 1.34, "output": "ОТВЕТ: 3"}
|
| 274 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6445, "seconds": 1.306, "output": "ОТВЕТ: 5"}
|
| 275 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1620, "seconds": 1.301, "output": "ОТВЕТ: нет"}
|
| 276 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6465, "seconds": 1.302, "output": "ОТВЕТ: нет"}
|
| 277 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1598, "seconds": 1.294, "output": "ОТВЕТ: нет"}
|
| 278 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6443, "seconds": 1.298, "output": "ОТВЕТ: 1"}
|
| 279 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1575, "seconds": 1.3, "output": "ОТВЕТ: 3"}
|
| 280 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6420, "seconds": 1.306, "output": "ОТВЕТ: 3"}
|
| 281 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1355, "seconds": 1.292, "output": "ОТВЕТ: 2"}
|
| 282 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5120, "seconds": 1.169, "output": "ОТВЕТ: 3"}
|
| 283 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1353, "seconds": 1.155, "output": "ОТВЕТ: 0"}
|
| 284 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5118, "seconds": 1.113, "output": "ОТВЕТ: 50"}
|
| 285 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1374, "seconds": 1.115, "output": "ОТВЕТ: нет"}
|
| 286 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5139, "seconds": 1.116, "output": "ОТВЕТ: нет"}
|
| 287 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1361, "seconds": 1.123, "output": "ОТВЕТ: 38"}
|
| 288 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5126, "seconds": 1.122, "output": "ОТВЕТ: 4950"}
|
| 289 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1332, "seconds": 1.142, "output": "ОТВЕТ: 4038"}
|
| 290 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5097, "seconds": 1.156, "output": "ОТВЕТ: 4038"}
|
| 291 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1499, "seconds": 1.154, "output": "ОТВЕТ: 2"}
|
| 292 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7121, "seconds": 1.289, "output": "ОТВЕТ: 4"}
|
| 293 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1506, "seconds": 1.271, "output": "ОТВЕТ: 4"}
|
| 294 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7128, "seconds": 1.449, "output": "ОТВЕТ: 4"}
|
| 295 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1503, "seconds": 1.453, "output": "ОТВЕТ: 28"}
|
| 296 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7125, "seconds": 1.433, "output": "ОТВЕТ: 0"}
|
| 297 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1504, "seconds": 1.449, "output": "ОТВЕТ: 100"}
|
| 298 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7126, "seconds": 1.443, "output": "ОТВЕТ: 5"}
|
| 299 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1485, "seconds": 1.45, "output": "ОТВЕТ: 215"}
|
| 300 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7107, "seconds": 1.462, "output": "ОТВЕТ: 215"}
|
| 301 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1930, "seconds": 1.469, "output": "ОТВЕТ: 4"}
|
| 302 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6992, "seconds": 1.423, "output": "ОТВЕТ: 3"}
|
| 303 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1931, "seconds": 1.417, "output": "ОТВЕТ: нет"}
|
| 304 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6993, "seconds": 1.38, "output": "ОТВЕТ: 600"}
|
| 305 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1950, "seconds": 1.376, "output": "ОТВЕТ: нет"}
|
| 306 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7012, "seconds": 1.366, "output": "ОТВЕТ: нет"}
|
| 307 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1905, "seconds": 1.393, "output": "ОТВЕТ: 150"}
|
| 308 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6967, "seconds": 1.381, "output": "ОТВЕТ: 360"}
|
| 309 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1933, "seconds": 1.377, "output": "ОТВЕТ: нет"}
|
| 310 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6995, "seconds": 1.409, "output": "ОТВЕТ: 1080"}
|
| 311 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1655, "seconds": 1.391, "output": "ОТВЕТ: 4"}
|
| 312 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6217, "seconds": 1.315, "output": "ОТВЕТ: 5"}
|
| 313 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1655, "seconds": 1.318, "output": "ОТВЕТ: 2"}
|
| 314 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6217, "seconds": 1.237, "output": "ОТВЕТ: 2"}
|
| 315 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1674, "seconds": 1.228, "output": "ОТВЕТ: нет"}
|
| 316 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6236, "seconds": 1.225, "output": "ОТВЕТ: нет"}
|
| 317 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1648, "seconds": 1.238, "output": "ОТВЕТ: 10"}
|
| 318 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6210, "seconds": 1.232, "output": "ОТВЕТ: 20"}
|
| 319 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1637, "seconds": 1.248, "output": "ОТВЕТ: 15"}
|
| 320 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 6199, "seconds": 1.256, "output": "ОТВЕТ: 15"}
|
| 321 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1733, "seconds": 1.244, "output": "ОТВЕТ: 2"}
|
| 322 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5590, "seconds": 1.193, "output": "ОТВЕТ: 3"}
|
| 323 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1725, "seconds": 1.2, "output": "ОТВЕТ: 800"}
|
| 324 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5582, "seconds": 1.167, "output": "ОТВЕТ: 200"}
|
| 325 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1748, "seconds": 1.161, "output": "ОТВЕТ: нет"}
|
| 326 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5605, "seconds": 1.157, "output": "ОТВЕТ: нет"}
|
| 327 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1732, "seconds": 1.144, "output": "ОТВЕТ: сбой"}
|
| 328 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5589, "seconds": 1.152, "output": "ОТВЕТ: перегруз"}
|
| 329 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1782, "seconds": 1.153, "output": "ОТВЕТ: run"}
|
| 330 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5639, "seconds": 1.152, "output": "ОТВЕТ: run"}
|
| 331 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1766, "seconds": 1.159, "output": "ОТВЕТ: 1"}
|
| 332 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7822, "seconds": 1.298, "output": "ОТВЕТ: 3"}
|
| 333 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1764, "seconds": 1.297, "output": "ОТВЕТ: 2"}
|
| 334 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7820, "seconds": 1.46, "output": "ОТВЕТ: 3"}
|
| 335 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1781, "seconds": 1.443, "output": "ОТВЕТ: да"}
|
| 336 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7837, "seconds": 1.421, "output": "ОТВЕТ: да"}
|
| 337 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1756, "seconds": 1.409, "output": "ОТВЕТ: нет"}
|
| 338 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7812, "seconds": 1.405, "output": "ОТВЕТ: нет"}
|
| 339 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1753, "seconds": 1.402, "output": "ОТВЕТ: /health"}
|
| 340 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 7809, "seconds": 1.413, "output": "ОТВЕТ: /health"}
|
| 341 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1481, "seconds": 1.414, "output": "ОТВЕТ: 4"}
|
| 342 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4900, "seconds": 1.218, "output": "ОТВЕТ: 4"}
|
| 343 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1477, "seconds": 1.217, "output": "ОТВЕТ: 3"}
|
| 344 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4896, "seconds": 1.076, "output": "ОТВЕТ: 3"}
|
| 345 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1496, "seconds": 1.078, "output": "ОТВЕТ: нет"}
|
| 346 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4915, "seconds": 1.081, "output": "ОТВЕТ: нет"}
|
| 347 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1461, "seconds": 1.083, "output": "ОТВЕТ: 50"}
|
| 348 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4880, "seconds": 1.098, "output": "ОТВЕТ: 50"}
|
| 349 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1456, "seconds": 1.096, "output": "ОТВЕТ: 9"}
|
| 350 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 4875, "seconds": 1.105, "output": "ОТВЕТ: 9"}
|
| 351 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1526, "seconds": 1.107, "output": "ОТВЕТ: 2"}
|
| 352 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5600, "seconds": 1.143, "output": "ОТВЕТ: 5"}
|
| 353 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1526, "seconds": 1.148, "output": "ОТВЕТ: 3"}
|
| 354 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5600, "seconds": 1.208, "output": "ОТВЕТ: 3"}
|
| 355 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1546, "seconds": 1.201, "output": "ОТВЕТ: нет"}
|
| 356 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5620, "seconds": 1.169, "output": "ОТВЕТ: нет"}
|
| 357 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1524, "seconds": 1.175, "output": "ОТВЕТ: 12"}
|
| 358 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5598, "seconds": 1.189, "output": "ОТВЕТ: 17"}
|
| 359 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 3, "prompt_chars": 1519, "seconds": 1.199, "output": "ОТВЕТ: 12"}
|
| 360 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 3, "prompt_chars": 5593, "seconds": 1.2, "output": "ОТВЕТ: 47"}
|
| 361 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1648, "seconds": 1.205, "output": "ОТВЕТ: 3"}
|
| 362 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4807, "seconds": 1.083, "output": "ОТВЕТ: 3"}
|
| 363 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1632, "seconds": 1.108, "output": "ОТВЕТ: 450"}
|
| 364 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4791, "seconds": 1.068, "output": "ОТВЕТ: 155"}
|
| 365 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1665, "seconds": 1.067, "output": "ОТВЕТ: нет"}
|
| 366 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4824, "seconds": 1.055, "output": "ОТВЕТ: нет"}
|
| 367 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1635, "seconds": 1.033, "output": "ОТВЕТ: нет"}
|
| 368 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4794, "seconds": 1.052, "output": "ОТВЕТ: false"}
|
| 369 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1626, "seconds": 1.075, "output": "ОТВЕТ: 3245"}
|
| 370 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4785, "seconds": 1.102, "output": "ОТВЕТ: 3245"}
|
| 371 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1691, "seconds": 1.109, "output": "ОТВЕТ: 2"}
|
| 372 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5351, "seconds": 1.12, "output": "ОТВЕТ: 6"}
|
| 373 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1680, "seconds": 1.097, "output": "ОТВЕТ: не знаю"}
|
| 374 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5340, "seconds": 1.149, "output": "ОТВЕТ: 1024"}
|
| 375 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1704, "seconds": 1.139, "output": "ОТВЕТ: нет"}
|
| 376 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5364, "seconds": 1.119, "output": "ОТВЕТ: нет"}
|
| 377 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1687, "seconds": 1.121, "output": "ОТВЕТ: 2"}
|
| 378 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5347, "seconds": 1.113, "output": "ОТВЕТ: 2"}
|
| 379 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1663, "seconds": 1.142, "output": "ОТВЕТ: 9000"}
|
| 380 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5323, "seconds": 1.141, "output": "ОТВЕТ: 9000"}
|
| 381 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1333, "seconds": 1.135, "output": "ОТВЕТ: 102"}
|
| 382 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6914, "seconds": 1.315, "output": "ОТВЕТ: 88"}
|
| 383 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1335, "seconds": 1.272, "output": "ОТВЕТ: 4"}
|
| 384 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6916, "seconds": 1.416, "output": "ОТВЕТ: 4"}
|
| 385 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1353, "seconds": 1.402, "output": "ОТВЕТ: нет"}
|
| 386 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6934, "seconds": 1.391, "output": "ОТВЕТ: нет"}
|
| 387 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1334, "seconds": 1.386, "output": "ОТВЕТ: B"}
|
| 388 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6915, "seconds": 1.394, "output": "ОТВЕТ: \"F\""}
|
| 389 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1334, "seconds": 1.392, "output": "ОТВЕТ: нет"}
|
| 390 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6915, "seconds": 1.388, "output": "ОТВЕТ: false"}
|
| 391 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1603, "seconds": 1.418, "output": "ОТВЕТ: 2"}
|
| 392 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6448, "seconds": 1.372, "output": "ОТВЕТ: 6"}
|
| 393 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1600, "seconds": 1.397, "output": "ОТВЕТ: 3"}
|
| 394 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6445, "seconds": 1.368, "output": "ОТВЕТ: 4"}
|
| 395 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1620, "seconds": 1.359, "output": "ОТВЕТ: нет"}
|
| 396 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6465, "seconds": 1.354, "output": "ОТВЕТ: нет"}
|
| 397 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1598, "seconds": 1.356, "output": "ОТВЕТ: 0"}
|
| 398 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6443, "seconds": 1.354, "output": "ОТВЕТ: 1"}
|
| 399 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1575, "seconds": 1.357, "output": "ОТВЕТ: 3"}
|
| 400 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6420, "seconds": 1.358, "output": "ОТВЕТ: 3"}
|
| 401 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1355, "seconds": 1.336, "output": "ОТВЕТ: 2"}
|
| 402 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5120, "seconds": 1.239, "output": "ОТВЕТ: 3"}
|
| 403 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1353, "seconds": 1.244, "output": "ОТВЕЩЕНИЕ: не знаю"}
|
| 404 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5118, "seconds": 1.14, "output": "ОТВЕТ: 50"}
|
| 405 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1374, "seconds": 1.138, "output": "ОТВЕТ: нет"}
|
| 406 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5139, "seconds": 1.13, "output": "ОТВЕТ: нет"}
|
| 407 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1361, "seconds": 1.129, "output": "ОТВЕТ: 4038"}
|
| 408 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5126, "seconds": 1.149, "output": "ОТВЕТ: 4950"}
|
| 409 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1332, "seconds": 1.172, "output": "ОТВЕТ: 4038"}
|
| 410 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5097, "seconds": 1.151, "output": "ОТВЕТ: 4038"}
|
| 411 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1499, "seconds": 1.139, "output": "ОТВЕТ: 2"}
|
| 412 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7121, "seconds": 1.314, "output": "ОТВЕТ: 3"}
|
| 413 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1506, "seconds": 1.299, "output": "ОТВЕТ: 3"}
|
| 414 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7128, "seconds": 1.493, "output": "ОТВЕТ: 5"}
|
| 415 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1503, "seconds": 1.492, "output": "ОТВЕТ: 28"}
|
| 416 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7125, "seconds": 1.471, "output": "ОТВЕТ: 0"}
|
| 417 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1504, "seconds": 1.484, "output": "ОТВЕТ: 100"}
|
| 418 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7126, "seconds": 1.494, "output": "ОТВЕТ: 100"}
|
| 419 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1485, "seconds": 1.504, "output": "ОТВЕТ: 215"}
|
| 420 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7107, "seconds": 1.516, "output": "ОТВЕТ: 215"}
|
| 421 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1930, "seconds": 1.525, "output": "ОТВЕТ: 3"}
|
| 422 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6992, "seconds": 1.458, "output": "ОТВЕТ: 4"}
|
| 423 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1931, "seconds": 1.487, "output": "ОТВЕЩЕНИЕ: не знаю"}
|
| 424 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6993, "seconds": 1.442, "output": "ОТВЕТ: 600"}
|
| 425 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1950, "seconds": 1.437, "output": "ОТВЕТ: нет"}
|
| 426 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7012, "seconds": 1.431, "output": "ОТВЕТ: нет"}
|
| 427 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1905, "seconds": 1.421, "output": "ОТВЕТ: 150"}
|
| 428 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6967, "seconds": 1.418, "output": "ОТВЕТ: 360"}
|
| 429 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1933, "seconds": 1.417, "output": "ОТВЕТ: нет"}
|
| 430 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6995, "seconds": 1.446, "output": "ОТВЕТ: 1080"}
|
| 431 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1655, "seconds": 1.428, "output": "ОТВЕТ: 3"}
|
| 432 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6217, "seconds": 1.349, "output": "ОТВЕТ: 6"}
|
| 433 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1655, "seconds": 1.347, "output": "ОТВЕТ: 2"}
|
| 434 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6217, "seconds": 1.267, "output": "ОТВЕТ: 2"}
|
| 435 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1674, "seconds": 1.262, "output": "ОТВЕТ: нет"}
|
| 436 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6236, "seconds": 1.257, "output": "ОТВЕТ: нет"}
|
| 437 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1648, "seconds": 1.265, "output": "ОТВЕТ: 20"}
|
| 438 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6210, "seconds": 1.258, "output": "ОТВЕТ: 20"}
|
| 439 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1637, "seconds": 1.271, "output": "ОТВЕТ: 15"}
|
| 440 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 6199, "seconds": 1.28, "output": "ОТВЕТ: 15"}
|
| 441 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1733, "seconds": 1.294, "output": "ОТВЕЩЕНИЕ: 2"}
|
| 442 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5590, "seconds": 1.237, "output": "ОТВЕТ: 3"}
|
| 443 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1725, "seconds": 1.233, "output": "ОТВЕТ: не знаю"}
|
| 444 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5582, "seconds": 1.188, "output": "ОТВЕТ: 200"}
|
| 445 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1748, "seconds": 1.162, "output": "ОТВЕТ: нет"}
|
| 446 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5605, "seconds": 1.156, "output": "ОТВЕТ: нет"}
|
| 447 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1732, "seconds": 1.156, "output": "ОТВЕТ: сбой"}
|
| 448 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5589, "seconds": 1.17, "output": "ОТВЕТ: 'перегруз'"}
|
| 449 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1782, "seconds": 1.171, "output": "ОТВЕТ: нет"}
|
| 450 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5639, "seconds": 1.176, "output": "ОТВЕТ: run"}
|
| 451 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1766, "seconds": 1.173, "output": "ОТВЕТ: 1"}
|
| 452 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7822, "seconds": 1.316, "output": "ОТВЕТ: 3"}
|
| 453 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1764, "seconds": 1.313, "output": "ОТВЕТ: 1"}
|
| 454 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7820, "seconds": 1.478, "output": "ОТВЕТ: 3"}
|
| 455 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1781, "seconds": 1.469, "output": "ОТВЕТ: да"}
|
| 456 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7837, "seconds": 1.45, "output": "ОТВЕТ: да"}
|
| 457 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1756, "seconds": 1.437, "output": "ОТВЕТ: нет"}
|
| 458 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7812, "seconds": 1.424, "output": "ОТВЕТ: нет"}
|
| 459 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1753, "seconds": 1.417, "output": "ОТВЕТ: нет"}
|
| 460 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 7809, "seconds": 1.425, "output": "ОТВЕТ: /health"}
|
| 461 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1481, "seconds": 1.425, "output": "ОТВЕТ: 4"}
|
| 462 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4900, "seconds": 1.234, "output": "ОТВЕТ: 3"}
|
| 463 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1477, "seconds": 1.239, "output": "ОТВЕТ: 3"}
|
| 464 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4896, "seconds": 1.087, "output": "ОТВЕТ: 3"}
|
| 465 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1496, "seconds": 1.091, "output": "ОТВЕТ: нет"}
|
| 466 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4915, "seconds": 1.093, "output": "ОТВЕТ: нет"}
|
| 467 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1461, "seconds": 1.097, "output": "ОТВЕТ: 50"}
|
| 468 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4880, "seconds": 1.105, "output": "ОТВЕТ: 50"}
|
| 469 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1456, "seconds": 1.104, "output": "ОТВЕТ: 9"}
|
| 470 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 4875, "seconds": 1.103, "output": "ОТВЕТ: 9"}
|
| 471 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1526, "seconds": 1.102, "output": "ОТВЕТ: 2"}
|
| 472 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5600, "seconds": 1.142, "output": "ОТВЕТ: 6"}
|
| 473 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1526, "seconds": 1.148, "output": "ОТВЕТ: 3"}
|
| 474 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5600, "seconds": 1.217, "output": "ОТВЕТ: 3"}
|
| 475 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1546, "seconds": 1.209, "output": "ОТВЕТ: нет"}
|
| 476 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5620, "seconds": 1.182, "output": "ОТВЕТ: нет"}
|
| 477 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1524, "seconds": 1.192, "output": "ОТВЕТ: 47"}
|
| 478 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5598, "seconds": 1.197, "output": "ОТВЕТ: 17"}
|
| 479 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 4, "prompt_chars": 1519, "seconds": 1.208, "output": "ОТВЕТ: 12"}
|
| 480 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 4, "prompt_chars": 5593, "seconds": 1.212, "output": "ОТВЕТ: 47"}
|
| 481 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1648, "seconds": 1.213, "output": "ОТВЕТ: 2"}
|
| 482 |
+
{"id": "cart-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4807, "seconds": 1.094, "output": "ОТВЕТ: 3"}
|
| 483 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1632, "seconds": 1.116, "output": "ОТВЕТ: 450"}
|
| 484 |
+
{"id": "cart-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4791, "seconds": 1.077, "output": "ОТВЕТ: 155"}
|
| 485 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1665, "seconds": 1.075, "output": "ОТВЕТ: нет"}
|
| 486 |
+
{"id": "cart-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4824, "seconds": 1.065, "output": "ОТВЕТ: нет"}
|
| 487 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1635, "seconds": 1.047, "output": "ОТВЕТ: нет"}
|
| 488 |
+
{"id": "cart-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4794, "seconds": 1.037, "output": "ОТВЕТ: false"}
|
| 489 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1626, "seconds": 1.063, "output": "ОТВЕТ: 3245"}
|
| 490 |
+
{"id": "cart-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4785, "seconds": 1.086, "output": "ОТВЕТ: 3245"}
|
| 491 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1691, "seconds": 1.096, "output": "ОТВЕТ: 3"}
|
| 492 |
+
{"id": "config-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5351, "seconds": 1.122, "output": "ОТВЕТ: 5"}
|
| 493 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1680, "seconds": 1.105, "output": "ОТВЕТ: 80"}
|
| 494 |
+
{"id": "config-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5340, "seconds": 1.166, "output": "ОТВЕТ: 1024"}
|
| 495 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1704, "seconds": 1.152, "output": "ОТВЕТ: нет"}
|
| 496 |
+
{"id": "config-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5364, "seconds": 1.118, "output": "ОТВЕТ: нет"}
|
| 497 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1687, "seconds": 1.113, "output": "ОТВЕТ: 2"}
|
| 498 |
+
{"id": "config-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5347, "seconds": 1.118, "output": "ОТВЕТ: 3"}
|
| 499 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1663, "seconds": 1.145, "output": "ОТВЕТ: 9000"}
|
| 500 |
+
{"id": "config-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5323, "seconds": 1.163, "output": "ОТВЕТ: 9000"}
|
| 501 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1333, "seconds": 1.156, "output": "ОТВЕТ: 102"}
|
| 502 |
+
{"id": "grades-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6914, "seconds": 1.306, "output": "ОТВЕТ: 88"}
|
| 503 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1335, "seconds": 1.265, "output": "ОТВЕТ: 4"}
|
| 504 |
+
{"id": "grades-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6916, "seconds": 1.419, "output": "ОТВЕТ: 4"}
|
| 505 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1353, "seconds": 1.405, "output": "ОТВЕТ: нет"}
|
| 506 |
+
{"id": "grades-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6934, "seconds": 1.404, "output": "ОТВЕТ: нет"}
|
| 507 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1334, "seconds": 1.398, "output": "ОТВЕТ: B"}
|
| 508 |
+
{"id": "grades-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6915, "seconds": 1.412, "output": "ОТВЕТ: \"F\""}
|
| 509 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1334, "seconds": 1.406, "output": "ОТВЕТ: нет"}
|
| 510 |
+
{"id": "grades-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6915, "seconds": 1.406, "output": "ОТВЕТ: false"}
|
| 511 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1603, "seconds": 1.435, "output": "ОТВЕТ: 3"}
|
| 512 |
+
{"id": "grid-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6448, "seconds": 1.385, "output": "ОТВЕТ: 5"}
|
| 513 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1600, "seconds": 1.413, "output": "ОТВЕТ: 3"}
|
| 514 |
+
{"id": "grid-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6445, "seconds": 1.378, "output": "ОТВЕТ: 5"}
|
| 515 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1620, "seconds": 1.372, "output": "ОТВЕТ: нет"}
|
| 516 |
+
{"id": "grid-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6465, "seconds": 1.367, "output": "ОТВЕТ: нет"}
|
| 517 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1598, "seconds": 1.362, "output": "ОТВЕТ: нет"}
|
| 518 |
+
{"id": "grid-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6443, "seconds": 1.36, "output": "ОТВЕТ: 1"}
|
| 519 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1575, "seconds": 1.363, "output": "ОТВЕТ: 3"}
|
| 520 |
+
{"id": "grid-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6420, "seconds": 1.368, "output": "ОТВЕТ: 3"}
|
| 521 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1355, "seconds": 1.351, "output": "ОТВЕТ: 2"}
|
| 522 |
+
{"id": "ledger-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5120, "seconds": 1.225, "output": "ОТВЕТ: 3"}
|
| 523 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1353, "seconds": 1.207, "output": "ОТВЕТ: 0"}
|
| 524 |
+
{"id": "ledger-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5118, "seconds": 1.128, "output": "ОТВЕТ: 50"}
|
| 525 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1374, "seconds": 1.13, "output": "ОТВЕТ: нет"}
|
| 526 |
+
{"id": "ledger-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5139, "seconds": 1.124, "output": "ОТВЕТ: нет"}
|
| 527 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1361, "seconds": 1.131, "output": "ОТВЕТ: 38"}
|
| 528 |
+
{"id": "ledger-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5126, "seconds": 1.134, "output": "ОТВЕТ: 4950"}
|
| 529 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1332, "seconds": 1.153, "output": "ОТВЕТ: 4038"}
|
| 530 |
+
{"id": "ledger-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5097, "seconds": 1.173, "output": "ОТВЕТ: 4038"}
|
| 531 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1499, "seconds": 1.174, "output": "ОТВЕТ: 2"}
|
| 532 |
+
{"id": "matrix-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7121, "seconds": 1.327, "output": "ОТВЕТ: 4"}
|
| 533 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1506, "seconds": 1.313, "output": "ОТВЕТ: 4"}
|
| 534 |
+
{"id": "matrix-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7128, "seconds": 1.492, "output": "ОТВЕТ: 4"}
|
| 535 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1503, "seconds": 1.493, "output": "ОТВЕТ: 28"}
|
| 536 |
+
{"id": "matrix-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7125, "seconds": 1.483, "output": "ОТВЕТ: 0"}
|
| 537 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1504, "seconds": 1.496, "output": "ОТВЕТ: 100"}
|
| 538 |
+
{"id": "matrix-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7126, "seconds": 1.493, "output": "ОТВЕТ: 5"}
|
| 539 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1485, "seconds": 1.5, "output": "ОТВЕТ: 215"}
|
| 540 |
+
{"id": "matrix-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7107, "seconds": 1.516, "output": "ОТВЕТ: 215"}
|
| 541 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1930, "seconds": 1.523, "output": "ОТВЕТ: 4"}
|
| 542 |
+
{"id": "orders-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6992, "seconds": 1.472, "output": "ОТВЕТ: 3"}
|
| 543 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1931, "seconds": 1.479, "output": "ОТВЕТ: нет"}
|
| 544 |
+
{"id": "orders-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6993, "seconds": 1.425, "output": "ОТВЕТ: 600"}
|
| 545 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1950, "seconds": 1.421, "output": "ОТВЕТ: нет"}
|
| 546 |
+
{"id": "orders-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7012, "seconds": 1.416, "output": "ОТВЕТ: нет"}
|
| 547 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1905, "seconds": 1.432, "output": "ОТВЕТ: 150"}
|
| 548 |
+
{"id": "orders-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6967, "seconds": 1.43, "output": "ОТВЕТ: 360"}
|
| 549 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1933, "seconds": 1.427, "output": "ОТВЕТ: нет"}
|
| 550 |
+
{"id": "orders-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6995, "seconds": 1.455, "output": "ОТВЕТ: 1080"}
|
| 551 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1655, "seconds": 1.431, "output": "ОТВЕТ: 4"}
|
| 552 |
+
{"id": "pipeline-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6217, "seconds": 1.35, "output": "ОТВЕТ: 5"}
|
| 553 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1655, "seconds": 1.351, "output": "ОТВЕТ: 2"}
|
| 554 |
+
{"id": "pipeline-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6217, "seconds": 1.267, "output": "ОТВЕТ: 2"}
|
| 555 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1674, "seconds": 1.266, "output": "ОТВЕТ: нет"}
|
| 556 |
+
{"id": "pipeline-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6236, "seconds": 1.259, "output": "ОТВЕТ: нет"}
|
| 557 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1648, "seconds": 1.266, "output": "ОТВЕТ: 10"}
|
| 558 |
+
{"id": "pipeline-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6210, "seconds": 1.264, "output": "ОТВЕТ: 20"}
|
| 559 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1637, "seconds": 1.276, "output": "ОТВЕТ: 15"}
|
| 560 |
+
{"id": "pipeline-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 6199, "seconds": 1.29, "output": "ОТВЕТ: 15"}
|
| 561 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1733, "seconds": 1.288, "output": "ОТВЕТ: 2"}
|
| 562 |
+
{"id": "retry-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5590, "seconds": 1.223, "output": "ОТВЕТ: 3"}
|
| 563 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1725, "seconds": 1.232, "output": "ОТВЕТ: 800"}
|
| 564 |
+
{"id": "retry-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5582, "seconds": 1.185, "output": "ОТВЕТ: 200"}
|
| 565 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1748, "seconds": 1.18, "output": "ОТВЕТ: нет"}
|
| 566 |
+
{"id": "retry-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5605, "seconds": 1.173, "output": "ОТВЕТ: нет"}
|
| 567 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1732, "seconds": 1.159, "output": "ОТВЕТ: сбой"}
|
| 568 |
+
{"id": "retry-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5589, "seconds": 1.156, "output": "ОТВЕТ: перегруз"}
|
| 569 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1782, "seconds": 1.156, "output": "ОТВЕТ: run"}
|
| 570 |
+
{"id": "retry-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5639, "seconds": 1.16, "output": "ОТВЕТ: run"}
|
| 571 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1766, "seconds": 1.158, "output": "ОТВЕТ: 1"}
|
| 572 |
+
{"id": "router-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7822, "seconds": 1.308, "output": "ОТВЕТ: 3"}
|
| 573 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1764, "seconds": 1.304, "output": "ОТВЕТ: 2"}
|
| 574 |
+
{"id": "router-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7820, "seconds": 1.468, "output": "ОТВЕТ: 3"}
|
| 575 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1781, "seconds": 1.46, "output": "ОТВЕТ: да"}
|
| 576 |
+
{"id": "router-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7837, "seconds": 1.444, "output": "ОТВЕТ: да"}
|
| 577 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1756, "seconds": 1.433, "output": "ОТВЕТ: нет"}
|
| 578 |
+
{"id": "router-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7812, "seconds": 1.426, "output": "ОТВЕТ: нет"}
|
| 579 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1753, "seconds": 1.424, "output": "ОТВЕТ: /health"}
|
| 580 |
+
{"id": "router-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 7809, "seconds": 1.434, "output": "ОТВЕТ: /health"}
|
| 581 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1481, "seconds": 1.432, "output": "ОТВЕТ: 4"}
|
| 582 |
+
{"id": "stock-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4900, "seconds": 1.235, "output": "ОТВЕТ: 4"}
|
| 583 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1477, "seconds": 1.236, "output": "ОТВЕТ: 3"}
|
| 584 |
+
{"id": "stock-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4896, "seconds": 1.092, "output": "ОТВЕТ: 3"}
|
| 585 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1496, "seconds": 1.097, "output": "ОТВЕТ: нет"}
|
| 586 |
+
{"id": "stock-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4915, "seconds": 1.099, "output": "ОТВЕТ: нет"}
|
| 587 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1461, "seconds": 1.099, "output": "ОТВЕТ: 50"}
|
| 588 |
+
{"id": "stock-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4880, "seconds": 1.086, "output": "ОТВЕТ: 50"}
|
| 589 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1456, "seconds": 1.086, "output": "ОТВЕТ: 9"}
|
| 590 |
+
{"id": "stock-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 4875, "seconds": 1.221, "output": "ОТВЕТ: 9"}
|
| 591 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1526, "seconds": 1.225, "output": "ОТВЕТ: 2"}
|
| 592 |
+
{"id": "tokens-1", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5600, "seconds": 1.247, "output": "ОТВЕТ: 5"}
|
| 593 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1526, "seconds": 1.251, "output": "ОТВЕТ: 3"}
|
| 594 |
+
{"id": "tokens-2", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5600, "seconds": 1.183, "output": "ОТВЕТ: 3"}
|
| 595 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1546, "seconds": 1.173, "output": "ОТВЕТ: нет"}
|
| 596 |
+
{"id": "tokens-3", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5620, "seconds": 1.174, "output": "ОТВЕТ: нет"}
|
| 597 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1524, "seconds": 1.181, "output": "ОТВЕТ: 12"}
|
| 598 |
+
{"id": "tokens-4", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5598, "seconds": 1.19, "output": "ОТВЕТ: 17"}
|
| 599 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "no_trace", "repeat": 5, "prompt_chars": 1519, "seconds": 1.2, "output": "ОТВЕТ: 12"}
|
| 600 |
+
{"id": "tokens-5", "model": "qwen2.5:7b-instruct", "setting": "with_trace", "repeat": 5, "prompt_chars": 5593, "seconds": 1.208, "output": "ОТВЕТ: 47"}
|
run_models.py
ADDED
|
@@ -0,0 +1,102 @@
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|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Спрашивает модель по набору: каждый вопрос дважды — без трассы и с трассой.
|
| 3 |
+
|
| 4 |
+
Письма берутся из набора как есть (поля prompt_no_trace и prompt_with_trace),
|
| 5 |
+
поэтому текст совпадает с тем, на котором снят исходный опыт. Настройки модели
|
| 6 |
+
тоже те же: температура 0,8, зерно — номер повтора, окно 16 384, ответ не длиннее
|
| 7 |
+
300. Одинаковы в обеих обстановках, включая зерно.
|
| 8 |
+
|
| 9 |
+
Уже собранные ответы не переспрашиваются: файл дописывается.
|
| 10 |
+
|
| 11 |
+
Запуск: run_models.py <test.jsonl> <куда писать ответы.jsonl> <имя модели>
|
| 12 |
+
"""
|
| 13 |
+
from __future__ import annotations
|
| 14 |
+
|
| 15 |
+
import json
|
| 16 |
+
import os
|
| 17 |
+
import shlex
|
| 18 |
+
import subprocess
|
| 19 |
+
import sys
|
| 20 |
+
import time
|
| 21 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 22 |
+
from pathlib import Path
|
| 23 |
+
|
| 24 |
+
TRIES = int(os.environ.get("OUROBOROS_TRIES", "5"))
|
| 25 |
+
WORKERS = int(os.environ.get("OUROBOROS_WORKERS", "3"))
|
| 26 |
+
CMD = os.environ.get("OUROBOROS_MODEL_CMD", "")
|
| 27 |
+
SETTINGS = ("no_trace", "with_trace")
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
def call(model: str, text: str, seed: int) -> tuple[str, float]:
|
| 31 |
+
body = json.dumps({
|
| 32 |
+
"model": model,
|
| 33 |
+
"prompt": text,
|
| 34 |
+
"stream": False,
|
| 35 |
+
# keep_alive держит модель в памяти между письмами: машина общая, и без
|
| 36 |
+
# этого каждое письмо оплачивает загрузку модели заново. На сами ответы
|
| 37 |
+
# не влияет.
|
| 38 |
+
"keep_alive": os.environ.get("OUROBOROS_KEEP_ALIVE", "10m"),
|
| 39 |
+
"options": {"temperature": 0.8, "seed": seed, "num_ctx": 16384,
|
| 40 |
+
"num_predict": 300},
|
| 41 |
+
}, ensure_ascii=False)
|
| 42 |
+
started = time.perf_counter()
|
| 43 |
+
for attempt in range(3):
|
| 44 |
+
done = subprocess.run(shlex.split(CMD), input=body,
|
| 45 |
+
capture_output=True, text=True)
|
| 46 |
+
if done.returncode == 0:
|
| 47 |
+
try:
|
| 48 |
+
return json.loads(done.stdout)["response"], time.perf_counter() - started
|
| 49 |
+
except (ValueError, KeyError):
|
| 50 |
+
pass
|
| 51 |
+
time.sleep(5 * (attempt + 1))
|
| 52 |
+
raise RuntimeError(f"модель не ответила: {done.stdout[-300:]} {done.stderr[-300:]}")
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
def main() -> int:
|
| 56 |
+
if not CMD:
|
| 57 |
+
print("не задан OUROBOROS_MODEL_CMD", file=sys.stderr)
|
| 58 |
+
return 2
|
| 59 |
+
rows = [json.loads(l) for l in Path(sys.argv[1]).read_text(
|
| 60 |
+
encoding="utf-8").splitlines() if l.strip()]
|
| 61 |
+
out_path = Path(sys.argv[2])
|
| 62 |
+
model = sys.argv[3]
|
| 63 |
+
|
| 64 |
+
done = set()
|
| 65 |
+
if out_path.exists():
|
| 66 |
+
for line in out_path.read_text(encoding="utf-8").splitlines():
|
| 67 |
+
if line.strip():
|
| 68 |
+
r = json.loads(line)
|
| 69 |
+
done.add((r["id"], r["setting"], r["repeat"]))
|
| 70 |
+
|
| 71 |
+
jobs = [(row, setting, repeat)
|
| 72 |
+
for repeat in range(1, TRIES + 1)
|
| 73 |
+
for row in rows
|
| 74 |
+
for setting in SETTINGS
|
| 75 |
+
if (row["id"], setting, repeat) not in done]
|
| 76 |
+
|
| 77 |
+
print(f"== модель {model}, повторов {TRIES}, писем {len(jobs)}", flush=True)
|
| 78 |
+
fh = out_path.open("a", encoding="utf-8")
|
| 79 |
+
counter = [0]
|
| 80 |
+
|
| 81 |
+
def work(job):
|
| 82 |
+
row, setting, repeat = job
|
| 83 |
+
text = row["prompt_no_trace"] if setting == "no_trace" else row["prompt_with_trace"]
|
| 84 |
+
answer, spent = call(model, text, repeat)
|
| 85 |
+
return {"id": row["id"], "model": model, "setting": setting,
|
| 86 |
+
"repeat": repeat, "prompt_chars": len(text),
|
| 87 |
+
"seconds": round(spent, 3), "output": answer}
|
| 88 |
+
|
| 89 |
+
with ThreadPoolExecutor(max_workers=WORKERS) as pool:
|
| 90 |
+
for rec in pool.map(work, jobs):
|
| 91 |
+
fh.write(json.dumps(rec, ensure_ascii=False) + "\n")
|
| 92 |
+
fh.flush()
|
| 93 |
+
counter[0] += 1
|
| 94 |
+
if counter[0] % 50 == 0:
|
| 95 |
+
print(f" {counter[0]}/{len(jobs)}", flush=True)
|
| 96 |
+
fh.close()
|
| 97 |
+
print("== готово", flush=True)
|
| 98 |
+
return 0
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
if __name__ == "__main__":
|
| 102 |
+
raise SystemExit(main())
|