Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: meta-llama/Meta-Llama-3-8B
dtype: bfloat16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: meta-llama/Meta-Llama-3-8B
- layer_range: [0, 32]
model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
density:
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value: 1.0
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value: 0.5915012245323329
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value: 0.533635558334636
- filter: model.layers.3.self_attn.q_proj
value: 0.5581262049919233
- filter: model.layers.4.self_attn.q_proj
value: 0.5773018602469908
- filter: model.layers.5.self_attn.q_proj
value: 0.5594288989630556
- filter: model.layers.6.self_attn.q_proj
value: 0.5264707414934083
- filter: model.layers.7.self_attn.q_proj
value: 0.5074253556354541
- filter: model.layers.8.self_attn.q_proj
value: 0.5123234849669116
- filter: model.layers.9.self_attn.q_proj
value: 0.549606586420718
- filter: model.layers.10.self_attn.q_proj
value: 0.5104736595279037
- filter: model.layers.11.self_attn.q_proj
value: 0.521937366473868
- filter: model.layers.12.self_attn.q_proj
value: 0.5211036423323433
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value: 0.5566932416236777
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value: 0.5287113751237559
- filter: model.layers.15.self_attn.q_proj
value: 0.5587254442186441
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value: 0.5647699442446981
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value: 0.5868636339951019
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value: 0.590172476681778
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value: 0.5772236986087228
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value: 0.5837371684643844
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value: 0.5988484185295191
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value: 0.5956177374811109
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value: 0.607680683653796
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value: 0.612396435829295
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value: 0.5
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- value: 1.0
weight:
- value: 1.0
tokenizer_source: union
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