This is my very first merge I have ever attempted. The motivation behind this merge is to try and create a 13B version of jebcarter/psyonic-cetacean-20B. I don't have a good GPU (GTX 1660 6GB), so although I can merge the model, I cannot actually run it. However, the Open LLM Leaderboard ranks this merge with 63.48 avg point, which is higher than both KoboldAI/LLaMA2-13B-Psyfighter2 and jebcarter/psyonic-cetacean-20B, so I must did something right. The next step is to quantize this merge into GGUF so I can actually run it with KoboldCpp.

🧩 Configuration

yaml

models:
  - model: KoboldAI/LLaMA2-13B-Psyfighter2
  - model: microsoft/Orca-2-13b
    parameters:
      density: 0.40
      weight: [0, 0.3, 0.7, 1]
merge_method: ties
base_model: KoboldAI/LLaMA2-13B-Psyfighter2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	63.48
AI2 Reasoning Challenge (25-Shot)	62.46
HellaSwag (10-Shot)	81.74
MMLU (5-Shot)	60.31
TruthfulQA (0-shot)	55.40
Winogrande (5-shot)	77.27
GSM8k (5-shot)	43.67

tuantran1632001/Psyfighter2-Orca2-13B-ties

Psyfighter2-Orca2-ties

🧩 Configuration

Open LLM Leaderboard Evaluation Results

tuantran1632001/
Psyfighter2-Orca2-13B-ties