Sela223/Captain-Foxfire-12B

merged

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• Nitral-AI/Captain-Eris_Violet-V0.420-12B
• MrRikyz/Foxfire_Bloom

Configuration

The following YAML configuration was used to produce this model:

base_model: MrRikyz/Foxfire_Bloom
dtype: bfloat16
merge_method: slerp
tokenizer_source: base

slices:
  - sources:
      - model: MrRikyz/Foxfire_Bloom
        layer_range: [0, 40]
      - model: Nitral-AI/Captain-Eris_Violet-V0.420-12B
        layer_range: [0, 40]

parameters:
  rescale: true
  t:
    - filter: ".*(q_proj|k_proj|v_proj).*"
      value: [0.0, 0.2, 0.4, 0.5, 0.6, 0.65, 0.65, 0.6, 0.5, 0.4, 0.2, 0.0]
    - filter: ".*o_proj.*"
      value: [0.0, 0.15, 0.3, 0.4, 0.45, 0.5, 0.5, 0.45, 0.4, 0.3, 0.15, 0.0]
    - filter: self_attn
      value: [0.0, 0.2, 0.4, 0.5, 0.6, 0.7, 0.7, 0.6, 0.5, 0.4, 0.2, 0.0]
      
    - filter: ".*(gate_proj|up_proj|down_proj).*"
      value: [0.0, 0.1, 0.2, 0.3, 0.4, 0.4, 0.4, 0.4, 0.3, 0.2, 0.1, 0.0]
    - filter: mlp
      value: [0.0, 0.1, 0.2, 0.3, 0.4, 0.4, 0.4, 0.4, 0.3, 0.2, 0.1, 0.0]

    - filter: ".*(input_layernorm|post_attention_layernorm|layernorm).*"
      value: [0.0, 0.3, 0.5, 0.6, 0.4, 0.0, 0.0, 0.4, 0.6, 0.5, 0.3, 0.0]

    - filter: "^(embed_tokens|lm_head)$"
      value: 0.0

    - value: [0.0, 0.3, 0.5, 0.6, 0.4, 0.0, 0.0, 0.4, 0.6, 0.5, 0.3, 0.0]