| license: apache-2.0 | |
| tags: | |
| - merge | |
| - mergekit | |
| - lazymergekit | |
| - Warit2/GemOmniscien | |
| - google/gemma-2b-it | |
| # GemOmniscien-ties | |
| GemOmniscien-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): | |
| * [Warit2/GemOmniscien](https://huggingface.co./Warit2/GemOmniscien) | |
| * [google/gemma-2b-it](https://huggingface.co./google/gemma-2b-it) | |
| ## 🧩 Configuration | |
| \```yaml | |
| models: | |
| - model: Warit2/GemOmniscien | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| - model: google/gemma-2b-it | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 # weight gradient | |
| merge_method: ties | |
| base_model: Warit2/GemOmniscien | |
| parameters: | |
| normalize: true | |
| int8_mask: true | |
| dtype: bfloat16 | |
| # models: | |
| # - model: unsloth/gemma-7b-bnb-4bit | |
| # layer_range: [0, 32] | |
| # # no parameters necessary for base model | |
| # - model: mistralai/Mistral-7B-v0.1 | |
| # layer_range: [24, 32] | |
| # merge_method: passthrough | |
| # # base_model: unsloth/gemma-7b-bnb-4bit | |
| # parameters: | |
| # normalize: true | |
| # int8_mask: true | |
| # dtype: float16 | |
| # slices: | |
| # - sources: | |
| # - model: unsloth/gemma-2b-bnb-4bit | |
| # layer_range: [0, 16] | |
| # - sources: | |
| # - model: NousResearch/Nous-Hermes-llama-2-7b | |
| # layer_range: [0, 22] | |
| # merge_method: passthrough | |
| # dtype: bfloat16 | |
| # models: | |
| # - model: unsloth/gemma-2b-bnb-4bit | |
| # parameters: | |
| # density: 0.53 | |
| # weight: 0.45 | |
| # - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 | |
| # parameters: | |
| # weight: 0.5 | |
| # merge_method: ties | |
| # base_model: unsloth/gemma-2b-bnb-4bit | |
| # parameters: | |
| # int8_mask: true | |
| # dtype: bfloat16 | |
| \``` |