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--- |
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base_model: |
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- meta-llama/Meta-Llama-3-70B-Instruct |
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license: llama3 |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- merge |
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- frankenmerge |
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- 96b |
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--- |
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# BigWeave v31 96b |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600> |
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The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared. |
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# Prompting Format |
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llamav3 |
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# Merge process |
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This is a self-merge of meta-llama/Meta-Llama-3-70B-Instruct. Middle layers are duplicated and various matrices are scaled according to the template by jukofyork as shown here: https://github.com/arcee-ai/mergekit/issues/198#issuecomment-2079950009 |
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Merge configuration: |
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``` |
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const_tag: &MODEL meta-llama/Meta-Llama-3-70B-Instruct |
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const_tag: &RESIDUAL_SCALE_FACTOR 0.5 |
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const_tag: &QK_ATTENUATION_FACTOR 0.7071067812 |
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const_tag: &OUT_FACTOR 0.9 |
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scale-filter-env: &scale_filter_env |
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parameters: |
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scale: |
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- filter: o_proj |
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value: *RESIDUAL_SCALE_FACTOR |
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- filter: down_proj |
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value: *RESIDUAL_SCALE_FACTOR |
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- filter: q_proj |
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value: *QK_ATTENUATION_FACTOR |
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- filter: k_proj |
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value: *QK_ATTENUATION_FACTOR |
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- filter: v_proj |
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value: *OUT_FACTOR |
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- filter: up_proj |
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value: *OUT_FACTOR |
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- value: 1.0 |
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slices: |
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- sources: |
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- model: *MODEL |
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layer_range: [0, 25] |
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- sources: |
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- model: *MODEL |
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layer_range: [25, 26] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [25, 27] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [26, 28] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [27, 29] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [28, 30] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [29, 31] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [30, 32] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [31, 33] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [32, 34] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [33, 35] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [34, 36] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [35, 37] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [36, 38] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [37, 39] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [38, 40] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [39, 41] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [40, 42] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [41, 43] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [42, 44] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [43, 45] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [44, 46] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [45, 47] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [46, 48] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [47, 49] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [48, 50] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [49, 51] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [50, 52] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [51, 53] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [52, 54] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [53, 55] |
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<<: *scale_filter_env |
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|
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- sources: |
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- model: *MODEL |
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layer_range: [54, 55] |
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<<: *scale_filter_env |
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- sources: |
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- model: *MODEL |
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layer_range: [55, 80] |
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merge_method: passthrough |
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dtype: float16 |
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``` |
