base_model, library_name, tags

base_model	library_name	tags
Qwen/Qwen2.5-7B-Instruct	transformers	mergekit merge

phase_f4b

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Qwen/Qwen2.5-7B-Instruct as a base.

Models Merged

The following models were included in the merge:

• ./outputs/phase_d/merged_model
• ./outputs/phase_e2b/merged_model

Configuration

The following YAML configuration was used to produce this model:

# F4-b: DARE-TIES Merge (Phase D 0.7 + E2-b 0.3)
# More conservative: Phase D dominant, E2-b as supplement
# Hypothesis: Lighter E2-b influence avoids ALF regression

models:
  - model: ./outputs/phase_d/merged_model
    parameters:
      density: 0.5
      weight: 0.7
  - model: ./outputs/phase_e2b/merged_model
    parameters:
      density: 0.5
      weight: 0.3
merge_method: dare_ties
base_model: Qwen/Qwen2.5-7B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16