--- base_model: - KaraKaraWitch/SteyrCannon-Qwen2.5-72b - EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1 - ZeusLabs/Chronos-Platinum-72B - m8than/banana-2-b-72b library_name: transformers tags: - mergekit - merge --- # Matsutei-Qwen2.5-72b This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
SteyrCannon had a weird vibe issue when it comes to world book lore info. So I've been falling back to my EurobeatVARemix merge. This merge should address that inital issue but I think there's other quirks to this one. ## Quants & Hosts ## Merge Details ### Merge Method This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1) as a base. ### Models Merged The following models were included in the merge: * [KaraKaraWitch/SteyrCannon-Qwen2.5-72b](https://huggingface.co/KaraKaraWitch/SteyrCannon-Qwen2.5-72b) * [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1) * [ZeusLabs/Chronos-Platinum-72B](https://huggingface.co/ZeusLabs/Chronos-Platinum-72B) * [EVAm8than/banana-2-b-72b](https://huggingface.co/m8than/banana-2-b-72b) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: KaraKaraWitch/SteyrCannon-Qwen2.5-72b parameters: density: 0.25 weight: 0.5 - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1 parameters: density: 0.5 weight: 0.75 - model: ZeusLabs/Chronos-Platinum-72B parameters: density: 0.5 weight: 0.5 - model: m8than/banana-2-b-72b parameters: density: 0.65 weight: 0.40 merge_method: ties base_model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1 parameters: normalize: true dtype: bfloat16 ```