merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Benchmarks
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| tinyBenchmarks | N/A | |||||||
| - tinyArc | 0 | none | 25 | acc_norm | ↑ | 0.5537 | ± | N/A |
| - tinyGSM8k | 0 | flexible-extract | 5 | exact_match | ↑ | 0.7686 | ± | N/A |
| strict-match | 5 | exact_match | ↑ | 0.7421 | ± | N/A | ||
| - tinyHellaswag | 0 | none | 10 | acc_norm | ↑ | 0.6475 | ± | N/A |
| - tinyMMLU | 0 | none | 0 | acc_norm | ↑ | 0.5841 | ± | N/A |
| - tinyTruthfulQA | 0 | none | 0 | acc | ↑ | 0.5356 | ± | N/A |
| - tinyWinogrande | 0 | none | 5 | acc_norm | ↑ | 0.6316 | ± | N/A |
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 0.5
- model: Qwen/Qwen2.5-Math-7B-Instruct
parameters:
weight: 0.5
merge_method: linear
dtype: bfloat16
- Downloads last month
- 3