melino2000/tiny-llama-merge-evo-server

final_merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064 as a base.

Models Merged

The following models were included in the merge:

• /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950

Configuration

The following YAML configuration was used to produce this model:

base_model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 2]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.9572415069321948
  - layer_range: [0, 2]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [2, 4]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 1.3027552693206474
  - layer_range: [2, 4]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [4, 6]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 1.1000872891940183
  - layer_range: [4, 6]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [6, 8]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.8472430654902018
  - layer_range: [6, 8]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [8, 10]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.9915310236895785
  - layer_range: [8, 10]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [10, 12]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 1.1144858726152178
  - layer_range: [10, 12]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [12, 14]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.8140779929520541
  - layer_range: [12, 14]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [14, 16]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 1.1599951316231072
  - layer_range: [14, 16]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [16, 18]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.5993074778392211
  - layer_range: [16, 18]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [18, 20]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.8145134707653817
  - layer_range: [18, 20]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
- sources:
  - layer_range: [20, 22]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
    parameters:
      weight: 0.9579703282891905
  - layer_range: [20, 22]
    model: /home/m_nobakhtian/evol_merge_storage/input_models/TinyLlama_v1.1_684560064