Made by Liminerity <#

INEX4-7b

INEX4-7b is a merge of the following models using mergekit:

• liminerity/merge2
• liminerity/merge1

🧩 Configuration

slices:
  - sources:
      - model: liminerity/Ingot-7b-slerp-7-forged
        layer_range: [0, 32]
      - model: yam-peleg/Experiment26-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/Ingot-7b-slerp-7-forged
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
model: liminerity/merge

slices:
  - sources:
      - model: liminerity/Ingot-7b-slerp-7-forged
        layer_range: [0, 32]
      - model: liminerity/merge
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/Ingot-7b-slerp-7-forged
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
model: liminerity/merge1

slices:
  - sources:
      - model: yam-peleg/Experiment26-7B
        layer_range: [0, 32]
      - model: liminerity/merge1
        layer_range: [0, 32]
merge_method: slerp
base_model: yam-peleg/Experiment26-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: float16
model: liminerity/merge2

slices:
  - sources:
      - model: liminerity/merge2
        layer_range: [0, 32]
      - model: liminerity/merge1
        layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
model: INEX-7b

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.84
AI2 Reasoning Challenge (25-Shot)	72.95
HellaSwag (10-Shot)	88.79
MMLU (5-Shot)	64.70
TruthfulQA (0-shot)	74.42
Winogrande (5-shot)	83.90
GSM8k (5-shot)	70.28