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Model: tuantran1632001/Psyfighter2-Orca2-13B-ties Source: Original Platform
2026-05-23 11:43:22 +08:00
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+---
+license: other
+tags:
+- merge
+- mergekit
+- lazymergekit
+- microsoft/Orca-2-13b
+- KoboldAI/LLaMA2-13B-Psyfighter2
+base_model:
+- KoboldAI/LLaMA2-13B-Psyfighter2
+- microsoft/Orca-2-13b
+license_name: microsoft-research-license
+model-index:
+- name: Psyfighter2-Orca2-13B-ties
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 62.46
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 81.74
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 60.31
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 55.4
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 77.27
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 43.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tuantran1632001/Psyfighter2-Orca2-13B-ties
+      name: Open LLM Leaderboard
+---
+
+# Psyfighter2-Orca2-ties
+
+Psyfighter2-Orca2-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2)
+* [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b)
+
+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](https://huggingface.co/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](https://github.com/LostRuins/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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tuantran1632001__Psyfighter2-Orca2-13B-ties)
+
+|             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|
+