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README.md ADDED
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+ ---
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+ base_model: []
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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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+ ---
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+ # final_merge_ja_e57b_tydija
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+
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088 as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ dtype: bfloat16
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+ merge_method: dare_ties
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+ parameters:
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+ int8_mask: 1.0
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+ normalize: 1.0
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+ slices:
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+ - sources:
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+ - layer_range: [0, 4]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 0.9567125290278002
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+ weight: 0.7329399429419414
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+ - layer_range: [0, 4]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 1.0
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+ weight: 0.6175016127199866
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+ - sources:
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+ - layer_range: [4, 8]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 0.7351530312710608
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+ weight: 0.9361918263111237
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+ - layer_range: [4, 8]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 1.0
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+ weight: 0.6261500333536962
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+ - sources:
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+ - layer_range: [8, 12]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 1.0
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+ weight: 0.38219531855733224
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+ - layer_range: [8, 12]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 0.9560023967707558
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 1.0
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+ weight: 0.9760238855152437
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+ - layer_range: [12, 16]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 0.9962392996911643
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+ weight: 0.6535045223316338
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+ - sources:
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+ - layer_range: [16, 20]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 1.0
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+ weight: 0.32930274558082606
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+ - layer_range: [16, 20]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 0.9095162947498548
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+ weight: 0.7439598517576353
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+ - sources:
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+ - layer_range: [20, 24]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 0.756559714204041
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+ - layer_range: [20, 24]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 1.0
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+ weight: 0.348213220068222
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+ - sources:
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+ - layer_range: [24, 28]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 1.0
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+ weight: 0.5663144522369852
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+ - layer_range: [24, 28]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 1.0
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+ weight: 0.5221351804388025
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+ - sources:
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+ - layer_range: [28, 32]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ density: 1.0
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+ weight: 0.3974171827818004
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+ - layer_range: [28, 32]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/japanese-stablelm-base-gamma-7b_545310900
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+ parameters:
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+ density: 0.9839795858964644
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+ weight: 0.2576111697863762
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "transformers_version": "4.44.0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ base_model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ dtype: bfloat16
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+ merge_method: dare_ties
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+ parameters:
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+ int8_mask: 1.0
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+ normalize: 1.0
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+ slices:
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+ - sources:
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+ - layer_range: [0, 4]
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+ model: ./evol_merge_storage_ja_e57b_tydija/input_models/e5-mistral-7b-instruct_2385958088
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+ parameters:
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+ weight: 0.6175016127199866
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+ parameters:
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+ density: 0.7351530312710608
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