mergekit
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Tools for merging pretrained large language models.
An example of this in the wild is Gemma2, where saving a Gemma2 model with `save_pretrained` ignores the `lm_head` tensor, due to it being a tied weight, whereas a Gemma2...
Set up communication channels (e.g., Discord, Slack) to enhance collaboration and support. Update README.md with links and announce on GitHub and Hugging Face Spaces.
If I want to design a new merging method by mergekit, what steps do I need to follow? Which files do I need to modify?
models: - model: stabilityai/stable-diffusion-xl-base-1.0 parameters: weight: 1.0 lora: - path: ehristoforu/dalle-3-xl-v2 - model: stabilityai/stable-diffusion-xl-base-1.0 parameters: weight: 0.5 lora: - path: artificialguybr/3DRedmond-V1 merge_method: linear dtype: float16 what can i do for...
Thank you for your outstanding contribution! I am not very familiar with the configuration of model fusion, and I couldn't find explanations for each parameter in the repository. I encountered...
This pull request introduces the capability to merge DeepSeekV2 Mixture-of-Experts (MoE) models using MergeKit. To facilitate this, a `deepseekv2.json` configuration file has been added to the architecture directory. Additionally, a...
Hi, Trying to merge multiple BERT models in scope of text-classification. When doing a simple linear merge, i got the following error message `RuntimeError: Unsupported architecture BertForSequenceClassification`. Having a closer...
 mergekit-moe支持qwen系列的模型吗,我想把两个基于lora微调并合并后的qwen模型与没有微调的qwen合并为moe模型,但是我尝试了qwen、qwen1.5和qwen2三个版本,都得到图片的结果。 到底是否支持qwen呢?支持哪个版本呢?
Here is one piece of code In the file of mergekit/mergekit/moe/qwen.py `for model_ref in ( [config.base_model] + [e.source_model for e in config.experts] + [e.source_model for e in (config.shared_experts or [])]...
hello, is it possible to merge a local model I meant non huggingface model. what should be the parameters in such cases. what I wan is to perform some preprocessing...