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Model: v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno Source: Original Platform
2026-09-05 13:16:57 +08:00
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+---
+license: apache-2.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+- qwen2
+- qwen2.5
+- dpo
+base_model:
+- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+- Qwen/Qwen2.5-14B-Instruct
+datasets:
+- jondurbin/gutenberg-dpo-v0.1
+model-index:
+- name: Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 48.55
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 49.74
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 19.71
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 15.21
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 18.43
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 48.68
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+      name: Open LLM Leaderboard
+---
+
+# Qwen2.5-14B-Gutenberg-Instruct-Slerpeno
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/PgoZ5eutiHDfBmuoBuDO9.png)
+
+--------------------------------------------------------------------------
+
+## GGUF from mradermacher!
+
+* [GGUF static](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF)
+
+* [GGUF Imatrix](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-i1-GGUF)
+
+## GGUF from QuantFactory!
+
+* [GGUF static](https://huggingface.co/QuantFactory/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF)
+
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method. (*sophosympatheia gradient*)
+
+### Models Merged
+
+The following models were included in the merge:
+* [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta)
+* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Qwen/Qwen2.5-14B-Instruct
+merge_method: slerp
+base_model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+parameters:
+  t:
+    - value: [0, 0, 0.3, 0.4, 0.5, 0.6, 0.5, 0.4, 0.3, 0, 0]
+dtype: bfloat16
+```
+
+*The idea here is that Gutenberg DPO stays in the output/input 100% while merging smoothly with the base instruct model in the deeper layers to heal loss and increase intelligence.*
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_v000000__Qwen2.5-14B-Gutenberg-Instruct-Slerpeno)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |33.39|
+|IFEval (0-Shot)    |48.55|
+|BBH (3-Shot)       |49.74|
+|MATH Lvl 5 (4-Shot)|19.71|
+|GPQA (0-shot)      |15.21|
+|MuSR (0-shot)      |18.43|
+|MMLU-PRO (5-shot)  |48.68|
+