This is an experimental merge of pre-trained language models created using
mergekit. All source model weights are BF16, avoiding issues arising from mixed-precision merges.
Although the zephyr beta and WizardLM 2 7B models are touted as SOTA and can generate varied prose compared to base Mistral v0.1, their relatively mediocre benchmarks under GSM-8K suggests only average reasoning capability in one-shot narrative text completion. The kuno-royale-v2 model was selected for merger because of its higher GSM-8K rating.
Native prompt format is Alpaca, although at least one of the prior models was fine-tuned to Vicuna.
Tested lightly with ChatML instruct prompts, temperature 1, and minP 0.02.
This model was merged using the SLERP merge method.
1slices:
2 - sources:
3 - model: grimjim/zephyr-beta-wizardLM-2-merge-7B
4 layer_range: [0,32]
5 - model: core-3/kuno-royale-v2-7b
6 layer_range: [0,32]
7merge_method: slerp
8base_model: grimjim/zephyr-beta-wizardLM-2-merge-7B
9parameters:
10 t:
11 - value: 0.5
12dtype: bfloat16
13