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Browse files- README.md +109 -0
- config.json +26 -0
- mergekit_config.yml +79 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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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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# final_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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./storage2/input_models/Mistral-7B-v0.1_8133861 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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* ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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* ./storage2/input_models/Abel-7B-002_121690448
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* ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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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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base_model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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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, 8]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 0.6699910985974532
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weight: 0.13529360500839205
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- layer_range: [0, 8]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.8652557087160213
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weight: 0.6985440552740758
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- layer_range: [0, 8]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.4323464491414452
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weight: 0.8179823325064868
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- layer_range: [0, 8]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [8, 16]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 1.0
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weight: 0.03216719764341956
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- layer_range: [8, 16]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.6967615831667242
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weight: 0.8043194027622319
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- layer_range: [8, 16]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.7897142847167249
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weight: 0.09233872355906134
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- layer_range: [8, 16]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [16, 24]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 1.0
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weight: 0.6740405166949244
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- layer_range: [16, 24]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.5417954561416459
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weight: 0.308476065247547
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- layer_range: [16, 24]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.7841601014052402
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weight: 0.02993327454595157
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- layer_range: [16, 24]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [24, 32]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 0.5892764365325144
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weight: 0.7288214753840682
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- layer_range: [24, 32]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.8133101423312465
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weight: 0.06233401147902682
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- layer_range: [24, 32]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.9351019303077212
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weight: 0.008694459163933368
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- layer_range: [24, 32]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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```
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config.json
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{
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"_name_or_path": "./storage2/input_models/Mistral-7B-v0.1_8133861",
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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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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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base_model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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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, 8]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 0.6699910985974532
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weight: 0.13529360500839205
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- layer_range: [0, 8]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.8652557087160213
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weight: 0.6985440552740758
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- layer_range: [0, 8]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.4323464491414452
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weight: 0.8179823325064868
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- layer_range: [0, 8]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [8, 16]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 1.0
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weight: 0.03216719764341956
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- layer_range: [8, 16]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.6967615831667242
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weight: 0.8043194027622319
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+
- layer_range: [8, 16]
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+
model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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+
density: 0.7897142847167249
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weight: 0.09233872355906134
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- layer_range: [8, 16]
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+
model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [16, 24]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 1.0
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weight: 0.6740405166949244
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- layer_range: [16, 24]
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+
model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.5417954561416459
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weight: 0.308476065247547
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- layer_range: [16, 24]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.7841601014052402
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weight: 0.02993327454595157
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- layer_range: [16, 24]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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- sources:
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- layer_range: [24, 32]
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model: ./storage2/input_models/shisa-gamma-7b-v1_4025154171
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parameters:
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density: 0.5892764365325144
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weight: 0.7288214753840682
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- layer_range: [24, 32]
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model: ./storage2/input_models/WizardMath-7B-V1.1_2027605156
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parameters:
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density: 0.8133101423312465
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weight: 0.06233401147902682
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- layer_range: [24, 32]
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model: ./storage2/input_models/Abel-7B-002_121690448
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parameters:
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density: 0.9351019303077212
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weight: 0.008694459163933368
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- layer_range: [24, 32]
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model: ./storage2/input_models/Mistral-7B-v0.1_8133861
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model-00001-of-00003.safetensors
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size 4886547008
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model-00002-of-00003.safetensors
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4.2", "total_size": 14483464192}, "weight_map": {"lm_head.weight": "model-00001-of-00003.safetensors", "model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", 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special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
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{
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2 |
+
"bos_token": {
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3 |
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"content": "<s>",
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4 |
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"lstrip": false,
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5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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"content": "</s>",
|
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"lstrip": false,
|
12 |
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"normalized": false,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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"unk_token": {
|
17 |
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
21 |
+
"single_word": false
|
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}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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1 |
+
{
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"add_bos_token": true,
|
3 |
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
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6 |
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
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"1": {
|
14 |
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"content": "<s>",
|
15 |
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"lstrip": false,
|
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"normalized": false,
|
17 |
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"rstrip": false,
|
18 |
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"single_word": false,
|
19 |
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"special": true
|
20 |
+
},
|
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
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"rstrip": false,
|
26 |
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"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
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"legacy": true,
|
35 |
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"model_max_length": 1000000000000000019884624838656,
|
36 |
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"pad_token": null,
|
37 |
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"sp_model_kwargs": {},
|
38 |
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"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
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