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--- |
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base_model: |
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- migtissera/Tess-3-Llama-3.1-70B |
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- aaditya/Llama3-OpenBioLLM-70B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [migtissera/Tess-3-Llama-3.1-70B](https://huggingface.co/migtissera/Tess-3-Llama-3.1-70B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [aaditya/Llama3-OpenBioLLM-70B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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merge_method: della_linear |
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base_model: migtissera/Tess-3-Llama-3.1-70B |
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models: |
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- model: aaditya/Llama3-OpenBioLLM-70B |
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parameters: |
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weight: |
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- filter: q_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: k_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: v_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: o_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: input_layernorm |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: up_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: gate_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: down_proj |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- filter: post_attention_layernorm |
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value: [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] |
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- value: 0 |
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density: 0.5 |
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epsilon: 0.1 |
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lambda: 1.0 |
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- model: migtissera/Tess-3-Llama-3.1-70B |
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parameters: |
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weight: 1.0 |
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density: |
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- filter: q_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: k_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: v_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: o_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: input_layernorm |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: up_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: gate_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: down_proj |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- filter: post_attention_layernorm |
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value: [1, 1, 1, 1, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1] |
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- value: 0.5 |
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epsilon: |
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- filter: q_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: k_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: v_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: o_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: input_layernorm |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: up_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: gate_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: down_proj |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- filter: post_attention_layernorm |
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value: [0, 0, 0, 0, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0,09, 0.08, 0,07, 0.06, 0.05, 0.04, 0, 0, 0, 0] |
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- value: 0.1 |
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lambda: 1.0 |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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parameters: |
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int8_mask: true |
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normalize: true |
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rescale: true |
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filter_wise: false |
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chat_template: auto |
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tokenizer: |
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source: union |
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``` |
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